How to Implement a Sales and Operations Process: 6 Business-Critical Steps to Take

‘How to implement the S&OP process?’ should be one of the most critical questions that companies ask. Here’s why.

Managing supply and demand is a notorious hurdle for many businesses, which requires finance, sales, and operations to work in close cooperation. In today’s uncertain political and economic climate, the synchronization of supply and demand has gained even more importance. 

Sales and operations planning enables companies to improve their visibility into short-term and long-term demand as well as supply trends while proactively managing the potential challenges that come with unpredictable events. Through S&OP, businesses can develop strategies to ensure they are prepared for any possible disruptions in the supply chain or unexpected changes in customer demands.

In this article, we will discuss what effective S&OP looks like, how to implement S&OP process, outline common adoption challenges and solutions, and discuss the benefits of sales and operations planning. 

What does an effective S&OP process look like?

S&OP process

An effective S&OP is critical to success in any business. It helps organizations coordinate, plan, and optimize their operations across all departments to align demand with production and manage costs and inventory levels.

Here is what an effective S&OP process consists of: 

Data gathering

It would be great to have all the data you need in one place, right? For instance, information from internal and external sources, such as customer orders, market trends, sales forecasts, and production plans. But unfortunately, it does not work like that. In 99% of companies, analysts should consolidate this data from many sources into a single analytics platform to ensure accuracy and uniformity.

Demand planning

With the data gathered, businesses can create accurate demand forecasts to better understand customer needs and expectations, which will allow them to anticipate how much inventory they should have on hand at any given time.

Supply planning 

Businesses need to plan for the raw materials, production capacity, and labor required for each order or product line to meet customer demand. This will help the organization anticipate any potential supply issues and find solutions to prevent disruptions.

Aligning demand with production plans

An S&OP specialist must take into account capacity constraints, production lead times, and resource availability when creating a plan of action for each order or product line, ensuring that customer demand is aligned with production goals. 

Executive meeting

This critical stage brings together decision-makers from across all the departments to review the data gathered, forecasts generated, and plans created during the enterprise sales and operations planning process. Thus, they can assess whether current plans are on track to meet customer needs while adhering to budget and resource constraints.

What stands in the way of solid S&OP? The main challenges to address

The implementation of S&OP is a complex process that can be hampered by various challenges that organizations may encounter along the way. In this section, we will explore some of the common issues associated with S&OP implementation. 

Inadequate strategizing

A poor strategy is one of the most recurring problems in sales and operations planning. Without a thorough understanding of the current capabilities and the capacity to expand, businesses will hardly come up with feasible plans that will meet customer demands. Additionally, organizations have to consider factors such as labor availability, budget constraints, supply chain disruptions, and seasonality when strategizing for an S&OP process map. 

Lack of understanding and support from the stakeholders

Lack of support from the primary stakeholders is another common issue faced in S&OP implementation. Businesses must ensure that all decision-makers are on board with the process and understand its importance for success. Most importantly, organizations should leverage data visualization to help stakeholders better understand the implications of their decisions.

Insufficient visibility and transparency across departments

S&OP success heavily depends on communication and collaboration between departments. Without visibility into all the departments’ operations, businesses cannot create plans that align with their overall objectives. That is why it’s paramount to facilitate cross-department operation visibility by maintaining up-to-date data and granting the necessary level of access to appropriate digital systems for everyone involved in the process.  

Complicated process design

Paradoxically, complicated process design often arises from our inherited desire to optimize operations and make them more efficient. Accounting for all the exceptions and nuances in the  S&OP process often leads to more complications than efficiencies. Rather than attempting to make an overly complex system that covers all possible scenarios, prioritize what is essential for success and build on that foundation. Any non-essential requirements can be built upon over time as the process matures. When designing S&OP, make simplicity a priority. 

Lack of technologies that support the process

To maximize the potential of S&OP, businesses must have access to the software that can facilitate data gathering and analysis, such as enterprise resource planning (ERP) or supply chain management (SCM) systems. Without these tools, businesses lack the ability to accurately assess customer demand and plan for resources.

Ready to reap the benefits of S&OP?

3 pillars your enterprise sales and operations planning rests on

enterprise sales and operations planning

In a way, the end goal of establishing a solid S&OP process is not about finding the perfect balance between sales and operations but ensuring that people, technologies, and processes are so in tune with each other that sales and operations align naturally. 

  • People 

Successful S&OP leans on stakeholder buy-in, cross-functional engagement, and continuous negotiation. Getting support from key decision-makers is vital to creating a unified process with everyone on the same page. A fully invested chief demand officer, along with other members of the C-suite, need to step to the forefront and clearly communicate vision and a sense of urgency to all relevant staff. 

  • Processes

In a nutshell, processes need to be driven by data. Process design should stem from quantifiable and measurable information rather than be based on a generic template. Value-adding S&OP is about coming up with multiple scenarios and strategizing for each of them. Again, making multiple long-term decisions in advance is possible when the right people have seamless access to advanced analytics tools. 

  • Technology

Ensuring that your software systems are correctly configured and seamlessly integrated is as important as defining roles and establishing operations. Successful S&OP hinges on access to real-time operational data presented in an easily-digestible format within one platform. The right technology infrastructure is also a key enabler for fruitful collaboration, as everyone makes decisions based on the same set of inputs. 

6 STEPS ON HOW TO IMPLEMENT AN S&OP PROCESS

Now that we have discussed the challenges and identified the three pillars of successful enterprise sales and operations planning, it’s time to dive into the details of creating an S&OP roadmap. Here’s your step-by-step guide on how to implement an S&OP process that yields tangible results.

how to implement an S&OP process

1. Start with assessment

Universal to many other technology and process implementations, it’s essential to create a common understanding of the ‘as-is’ situation in the beginning. The current state of your processes should be defined both qualitatively and quantitatively. Qualitative assessments involve evaluating the existing processes and structure within your organization, while quantitative assessments require measuring the performance of existing activities. It’s as important to define product hierarchy as it is to survey key decision-makers and identify their pain points. 

2. Ensure your S&OP is aligned with company strategy and business outcomes

Once the current state is properly evaluated, it’s important to tie S&OP processes to company objectives. This should include customer service goals, supplier and partner relationships, pricing objectives, and production/manufacturing capabilities. Forming synapses between sales, operations, and finance teams is instrumental to making sure that everyone is working toward the same goals. 

3. Allocate roles and responsibilities

Too many organizations struggle to unlock S&OP’s potential because there is no clear understanding of who does what. Each party needs to be aware of the role they play in S&OP and can regularly communicate their insights. Having well-defined roles and responsibilities helps establish ownership and accountability of the S&OP process. This can be further enhanced by establishing regular reporting cycles and outlines on how to best utilize data sources.

4. Determine the most meaningful metrics to track

Next, you should make S&OP performance measurable by defining the most meaningful metrics. These metrics should be defined based on the overall business objectives; for example, if customer service is a priority, then inventory levels and order fill rate are likely to be tracked more closely than production costs. Here are some other examples of important S&OP metrics: 

Forecast accuracy 

The accuracy of your demand and production cycles is one of the most important metrics to consider, as it communicates the success of your planning efforts. 

On-time delivery (OTD) to the customer

OTD is defined by the ratio of products delivered on time to total deliveries made over a specific period. OTD indicates the efficiency of your supply chain and is closely correlated with overall customer satisfaction. 

Production plan adherence

The adherence to the production plan reflects how closely the production output follows the planned production. This metric can help expose production bottlenecks, tighten delivery windows, and determine how well the machinery is performing. 

5. Choose appropriate technologies and software

According to an APQC survey, almost 70% of S&OP professionals consider technology to be a mission-critical part of the success of S&OP initiatives. Choosing the right technologies and software is vital for gathering and analyzing pertinent information and reaping the most benefits of sales and operations planning. 

Cloud computing

Having cloud capabilities in place allows organizations to easily collect, store and analyze the data necessary for effective S&OP decision-making.  Cloud computing also offers scalability advantages over traditional on-premises solutions, making it easy for companies to expand their storage needs or quickly adjust capacity as business conditions change.

Business Intelligence  

In general, business intelligence is the most critical component of S&OP. It enables organizations to track KPIs, access important data at the right time, improve prediction accuracy, model scenarios, and improve visibility into your processes overall. With comprehensive data visualization solutions, BI becomes more accessible and further facilitates data-driven decision-making. 

Artificial intelligence and machine learning

​​The combination of AI and S&OP can significantly improve prediction accuracy and help organizations consider market trends, consumer patterns, and external factors when making decisions. Additionally, AI can be used to automate administrative processes such as sales order approval, enabling S&OP teams to focus on more important tasks.

IoT

Incorporating the IoT into S&OP can give companies an unprecedented level of detail and visibility into their operations. With IoT, companies can remotely monitor inventory levels across multiple locations, track delivery, and proactively plan for future demand. In most cases, adopting IoT usually calls for unique technological infrastructure, which is why many organizations opt for custom enterprise application development. This allows businesses to integrate IoT with other technologies into a single system. 

ERP and SCM 

ERP and SCM systems are fundamental to enterprise sales and operations planning, as they ensure a comprehensive view of the entire supply chain process. ERP solutions enable organizations to track demand and optimize inventory management, manage customer orders and deliveries, integrate logistics operations, and monitor transportation costs. SCM systems provide organizations with important information about order-to-cash cycle times, product lead times, and delivery performance. Essentially, ERP and SCM gather crucial demand and supply data that is essential to S&OP success. 

6. Leverage S&OP consulting

Filled with many intricacies, S&OP implementation should not be taken lightly.  Quite the contrary, it’s an integral component of technology-enabled business transformation that enables organizations to gain economies of scale, drive efficiency, and increase customer satisfaction. To guarantee the success of the initiative, it is critical to work with a reliable S&OP consulting and technology partner who will guide you every step along the way.

Build resilience in times of upheaval with well-thought-out S&OP

Having an effective S&OP process in place helps organizations to gain better visibility into their supply chain, reduce costs, and make decisions that are informed by data rather than based on simple hunches. With the right strategies and technologies for managing uncertainty due to external factors, such as pandemics or shifting regulations, businesses will be able to remain agile and resilient in the face of change.

Ultimately, a well-planned S&OP process contributes to an organization’s overall success. To achieve maximum benefits from S&OP initiatives, companies must address all the key components outlined above and implement appropriate technology solutions that enable efficient decision-making across all levels of the organization.

It’s time to reinvent your sales and operations processes

All-round ERP Comparison: Odoo vs. SAP

Key highlights

  • ERP systems are a heavy hitter for leveling up your business processes’ transparency and efficiency, with Odoo and SAP being among the leading options on the ERP market.
  • Both software solutions address the same core user needs but cater to different scales: <strong>small to mid-sized businesses</strong> vs <strong>enterprises</strong>.
  • Whether you’re fine-tuning your processes to fit the ERP or customizing the ERP to match your processes, the input of the vetted experts in enterprise resource planning will make your life a lot easier.

Managing inventory, tracking human resources, monitoring equipment performance, ensuring quality control, and reporting — these are all critical factors that directly impact your company’s financial health and operational efficiency and can be addressed by an enterprise resource planning (ERP) system.      

But with so many options out there, how do you choose the right ERP system that strikes the perfect balance between advanced features and user-friendliness? In this article, our ERP experts compare Odoo vs. SAP to help you make a smarter, more informed choice.

What is Odoo?

Odoo comprises a set of versatile open-source business applications designed to facilitate a medley of the company’s processes. With its modular and flexible nature, seamlessly adapts to both on-premise and cloud environments. Odoo covers everything from HR management, accounting, and project management to customer relationship management, ecommerce, and inventory tracking – helping businesses run smoothly across all departments. 

What is SAP?

SAP ERP software is a powerful solution that blends on-premise and cloud capabilities, offering a wide range of functional and technical components. Beyond the core modules, SAP includes business apps for quality control, material management, and plant maintenance. Plus, with tools like NetWeaver, Process Integration, and Enterprise Portal, SAP provides a complete development environment to support your business’s growth and efficiency. 

Nine questions to ask yourself before choosing Odoo vs. SAP ERP

Improved reporting and planning, increased process visibility, and cost reduction are universal benefits of ERP systems. However, just as no size fits all, there are no ERP systems that would be equally perfect for any organization. That’s why, together with a business analyst and team lead developer experienced in ERP implementation, we’ve prepared a list of questions and accompanied them with the answers to help you finally figure out which ERP is best suited for you, or at least which one is not.

1. How many orders do you have to process daily?

Odoo is an optimal solution if you have no more than a hundred orders on a daily basis, and you don’t need to collect and store a mind-boggling amount of data. But if you’ve installed Odoo while a startup, and since then your company has grown, experienced developers can customize the ERP to handle the amount of data you operate.

SAP is designed on a different principle. It’s capable of storing and handling a huge amount of data for enterprises that process thousands or even millions of orders daily. For example, Amazon uses SAP since it has to handle nearly 500,000 orders per hour. However, it takes eternity to process such volumes of information — SAP’s slowness has even become a meme.

Odoo Master Yoda meme about SAP's slowness

2. Would you like to get out-of-the-box ERP functionality for free, or are you ready to shell out the cash from the start for a basic solution?

Odoo has a Community version, which is totally free but has some limitations in particular modules. However, let’s take the full-fledged Odoo Enterprise version for comparison. It’s a cheaper option even if on the other side of the scale is SAP Business One – SAP’s alternative for small and middle-size businesses. 

Software cost depends on the ERP version and modules you need. On average, you’ll pay from $19 to $29 per user monthly. So, in terms of costs, in the competition between Odoo vs. SAP Business One or any other SAP ERP version, Odoo is the winner.

SAP’s implementation and annual costs are high. Even in the case of SAP Business One implementation, you have to pay $149 per user on a monthly basis – this is at least 5 times the price of Odoo Enterprise from the outset. 

Speaking of the application of a full-scale SAP version such as S/4HANA, costs are much higher since this software solution is oriented toward huge organizations with thousands of employees. Note, that even the deployment of the basic functionality requires having deep pockets, let alone customization, that you’ll more likely need. 

Odoo vs. SAP Business One pricing

3. Does the survival of your business depend on its flexibility?

Odoo helps small to medium sized businesses that can operate in one way today and change it tomorrow to stay competitive. This ERP is like a constructor, where you can easily assemble the whole system from the blocks, and if necessary, change the components. For instance, if the company changes the suppliers, their processes, such as the supply chain management, also change. Flexibility is the basis for survival in such companies.

SAP is tailored for organizations whose survival depends on strict adherence to processes, not flexibility. When you have offices or subsidiaries with hundreds or thousands of employees in different countries, following clear business processes is the key to the smooth functioning of the whole enterprise. For example, Coca-Cola has to manage marketing, advertising, manufacturing facilities, and representative offices in more than 70 countries on different continents. 

4. How much time and effort are you ready to invest in your ERP project?

Odoo is open-source software written in Python and made up of modules. You can make use of the ones you need and stay flexible in exploring new Odoo features and solutions. Popular programming language, modular and flexible nature make it easier for you to find developers with an appropriate level of expertise and experience. In this Odoo vs. SAP comparison, Odoo comes first in terms of the speed of ERP implementation.

Consider that the simplicity or complexity of the software user interface also impacts adoption time. Odoo provides a user-friendly interface with drag-and-drop functionality for both on-premise and cloud versions.

Odoo user interface

SAP, albeit consisting of modules, has a more tangled structure since it serves the needs of large international companies from the Fortune 1000 list. The ERP is written in C, C++, Java, and ABAP (a high-level programming language invented by SAP). By and large, it’s not a case where developers can grasp the system’s structure and logic at a mere glance — this ERP requires specialists with at least five years of expertise specifically in SAP, and finding them may become tricky.

Keep in mind that the speed of any ERP implementation depends on the initial data source, from where you’ll transfer information to the new system. Transferring data from third-party systems might be difficult because of their data structure. It will take time to analyze the logic of your third-party systems, match it with the ERP logic, and write a script to transfer the data. For example, if the organization is a manufacturing company, you’ll need to transfer technical processes, products, invoices, etc.

The user interface of SAP’s enterprise software, such as S4/HANA, doesn’t score that many user-friendliness points when it comes to the on-premise option. The ERP may take time and training to get used to. 

SAP S4/HANA user interface

That being said, SAP Business One for small to medium-sized companies offers more intuitive interfaces. Its cloud version is the most user-friendly option you can get from SAP, so don’t write off this ERP software.

 SAP Business One cloud user interface
SAP Business One on-premise user interface

5. What are your hosting server preferences for the ERP system?

Both ERP solutions can be installed on-premise, in a hosted private cloud, and in a public cloud. 

Odoo offers a free solution if you want to install it on your servers. There are no licensing fees.

Going for SAP, you’ll have to pay a license fee except for maintaining servers. You can choose a perpetual, annual subscription, or consumption payment model. 

6. How important to you are simplicity and the low cost of customization?

Odoo is easier and cheaper to customize. However, Odoo and SAP have different customization capabilities. As one size never fits all, no wonder that the off-the-shelf functionality of both is usually not enough. 

In Odoo, modifying the steps of any process, whether it’s package management, product delivery, exchange, or return, is easier than in SAP, where it would either be impossible or very time-consuming and exhausting. SAP requires a very strict tie-in to its processes. In this respect, Odoo greatly outperforms its rival.

SAP ERP vs. Odoo is far more entangled. It offers detailed but also intricate customization, for example, if you need multicurrency functionality, multistage revisions of products, and tangled logistics. Such an approach may be needed if your organization is a global corporation. 

With SAP, you should accept its requirements for the business processes as dogma. SAP doesn’t adjust to your processes. It dictates how you should change to be able to run SAP. It doesn’t mean that customization is impossible, but it’ll require much more resources and expertise. 

If you aren’t ready to rearrange your processes to the requirements of a ready-made ERP, you can choose the alternative option – the development of a custom system. It’ll require more time and investment than fine-tuning the existing one but you’ll get the ERP, initially created for your needs and processes. 

7. Are you ready to start the data migration process quickly and potentially modify the way you work again when a new version of ERP comes out?

Odoo provides you with the scripts for more effortless data transfer, but you still have to handle data and code migration by yourself.

Even if you haven’t changed the basic Odoo modules much, the migration will require a developer’s involvement, not to mention cases where there were many modifications. The scripts help transfer the standard functionality, but if the modules were highly customized, you’d have to spend a lot of time comparing the changes in the module to take them into account in the scripts to make the new ERP version work correctly. Custom functionality requires custom migration scripts. 

SAP has backward compatibility – the feature allows you to avoid code or data migration with version upgrades. On the scale of companies such as BMW, which operate terabytes of information daily, this approach not only saves tons of energy, it makes it possible to migrate in time without a tremendous impact on the processes’ speed.

Consider that each ERP has its data structure, so in any case, you need to make a correct mapping of your data to the data model used in Odoo and SAP.

8. How prepared are you to deal with bug fixing?

Odoo is an open-source ERP with a huge community, and that’s a significant head start. 

The more developers use ERP, the less likely the bugs will go unnoticed. With Odoo, if someone finds a bug, they create an issue about it on GitHub, describe how to fix it, or ask for help. So when other developers encounter a similar bug, they can quickly and easily find a solution. 

SAP, on the contrary, is a closed-source ERP. In such a situation, you have to entirely rely on your development team’s expertise and SAP technical support. 

  • Do you have a technology partner who will promptly adapt the modules to new regulations? 

Regardless of which ERP you choose, the modules will require modification when the regulations change. For example, if invoicing or managing bill requirements change, you’ll need to modify your accounting module accordingly. 

Odoo system flexibility allows you to quickly adapt to new conditions and requirements of different authorities. With dedicated experts who support and maintain your ERP system, all the necessary changes can be addressed quickly and pain-free.  

Here’s an example from my practice of Odoo implementation for a European client. When Germany reduced VAT from 19% to 16% during the COVID-19 pandemic in 2020, our team needed to reconfigure tax settings to avoid issues with the DATEV upload. 

SAP’s modules have a more complex structure, that’s why it’s complicated to adjust them to comply with new regulations. As mentioned before, this ERP has a higher entry threshold for developers — only experts with 5-10 years of relevant experience can change the code. 

SAP vs. Odoo comparison

ParametersOdooSAP
Amount of data the ERP can handleAn optimal option if you have no more than a hundred orders daily.It’s capable of storing and handling a huge amount of data. SAP can process tens of thousands orders daily. Not without a fly in the ointment though: the system is quite slow. 
Free version availableOdoo Community is totally free. Paid Odoo Enterprise offers unlimited possibilities.SAP has only paid options.
FlexibilityIt provides you with the opportunity to easily change blocks and their components to stay flexible and competitive.It’s not really adaptable. You’ll more likely have to adjust to the business logic of SAP than vice versa.
ComplexityThe ERP is written in Python and has a modular structure, making it easier to work with the system and find experienced developers. End users get an intuitive, user-friendly interface ready for use right away.This ERP software is written in C, C++, Java, and ABAP (a high-level programming language invented by SAP). It’s not a case where developers can grasp the system’s structure and logic at a mere glance. The interface is also less user-friendly and may call for extra staff training.  
The license fee for the on-premise optionNo, Odoo is free if you install it on your own servers.Yes, perpetual, annual subscription or consumption payment models are available.
Simplicity of customizationIt’s easier and cheaper to customize.It offers detailed but intricate customization that requires more resources and expertise.
Specifics of the migration to a new ERP versionIt provides you with the scripts for more effortless data transfer, but you still have to handle data and code migration by yourself, especially to transfer the custom functionality.It has backward compatibility, which allows you to avoid code or data migration every time a new version is deployed.
Bug fixing optionsIt’s an open-source ERP with a huge community, thanks to which your developers can find ready-made solutions on GitHub. It’s a closed-source ERP, you can rely only on your development team’s expertise and SAP technical support.
Adaptability to new regulationsOdoo can be easily and quickly adjusted to new regulations if the developers who support the module are experienced.SAP’s modules have a more complex structure, it’s complicated to make them comply with new regulations.

There’s no such thing as “good or bad ERP”, it may be “for you or not for you”

As you can see, Odoo vs. SAP comparison is ambiguous. It’s impossible to say which ERP is better. Both Odoo and SAP have their strengths and weaknesses. The key parameters to pay attention to when choosing a system are the organization’s size and the amount of data the system should handle.

How much does it cost to implement Odoo?

Odoo suits small and midsize companies that want to move from disparate spreadsheets to a unified system. SAP is a more sophisticated system designed for Fortune 1000 companies that need to store and process massive amounts of data. 

Anyway, choosing a suitable ERP between Odoo vs. SAP is only half the battle. No less important is the experience level of the team responsible for its implementation. Get in touch with us to find knowledgeable technical allies.

FAQ

Is SAP better than Odoo?

The answer to Odoo vs. SAP comparison depends on your organization’s size and the number of orders you have to process every day. If you run an international enterprise from the Fortune 1000 list and you have to manage thousands or millions of orders daily, then yes, SAP is better than Odoo since it specializes in processing a tremendous amount of data. But if you run a small to medium-sized company, there’s no reason to overpay for mammoth software.

Can Odoo replace SAP?

When you compare Odoo vs. SAP, consider that they aren’t equal from the start as these ERP systems are designed for different targeted audiences. Odoo is a perfect match for SMEs and enterprises with multiple offices but the same business processes. You can implement this ERP quickly. Meanwhile, SAP is oriented toward huge multinational corporations, whose processes in different offices may vary significantly. SAP can handle the most complicated business requirements of large enterprises, and in this sense, Odoo cannot replace it yet.

Digital Transformation Challenges on Your Path to Growth

It can be grating to keep hearing comments about how important digital transformation (DT) is, but there is still limited understanding of what it actually entails. Does the shift from manual paper processing to report automation mean that your organization is digitalized? We’ve looked at the core of this concept and determined major digital transformation challenges to address on your way to long-term growth.

What exactly is digital transformation?

Digital transformation is an ongoing process of adapting to customer needs by using advanced technologies to overhaul your business, from the way it is marketed to how it is managed. To deal with economic headwinds and fast-changing market conditions, which will be an integral part of the coming year, companies simply can’t freeze in an as-is state.

Digital transformation paves the way for organizations to unveil their full potential – something that could have never been done without innovative technologies.

What would you say if asked which country had the highest share of cashless payments in the world in 2012? The United States? China? The answer is Kenya. It is the country that overtook the world in the percentage of non-cash payments thanks to technology innovation. 

These payments have been made through USSD requests (mobile operator M-Pesa, Vodafone group). The whole Western world went the way of building banking infrastructure – banks, branch banks, ATMs, terminals, bank cards, chips, magnetic stripes – it is a huge amount of money. Kenya didn’t have the opportunity to invest in developing the same infrastructure. That’s why the country followed a different way – adopting new technology. As a result, they surpassed many Western countries in the share of non-cash payments.

Anyway, going all digital straight away is a nonviable delusion even for the most decisive business owners. What will work is taking incremental steps toward digital transformation. You might start with answering a simple question: at what stage of the digital transformation process is your organization right now? If it’s difficult to identify which processes inherent to digitalization you have already implemented and which are still missing, get advice from experts in the field of software development. It may turn out that you have issues in the stages that precede the digital transformation itself, for instance, lack of automation can be one of the most common holdups. Then break these barriers first because unresolved problems tend to turn into a snowball that can wreck your business ambitions.

Five dimensions of digital transformation

According to the IDC survey, digital transformation projects deliver a return on investment in less than 12 months, and these improvements speak for themselves. 

Digital transformation

Decreases in operating and inventory costs and an increase in revenue are one of the main benefits of the DT. However, nothing worth having comes on a silver platter — digital transformation is difficult, and 70% of projects fail to achieve their goals. Which challenges can you face during this period and how to deal with them to stay among 30% of successful digital transformation initiatives? *instinctools experts highlight five transformational dimensions and the challenges you may face in each of them. We use the term ‘dimension’ when speaking about the transformation areas to underline the all-encompassing and multifaceted nature of the process. 

  • Information

As customers’ expectations are the main driver of digital transformation, you can’t start this journey without having detailed and accessible data about your consumers. Leverage and deepen understanding of your audience using Business Intelligence (BI) and Data Analytics services to figure out how the company can make more money. 

Take the gas station chain, which collects and analyzes data about their customers: cars they drive, fuel they fill up and how often they do it, additional services they use, etc. This information will help the organization understand what’s most beneficial for them and how to increase the average check and attract new customers.

The main challenge here is ineffective data management. Handling a mind-boggling data flow is difficult in itself. Couple that with the need to keep data secure and the task becomes several times more complicated. 

The purpose of data management is not to gather as much information as possible but get the right data leading to actionable insights. That’s why the information should be of high quality, categorized, and easily accessible. 

Consider how you collect and organize the information and review your actual data warehousing and quality management as data is a keystone of a digital transformation. Is the level of data accessibility appropriate? Is the customers’ information centralized? One of the ways to unlock the potential of your data is implementing Enterprise Data Management (EDM) within your digital transformation strategy. EDM includes such processes as collecting, organizing, managing, securely storing data sets into your information architecture.

  • Operating model

This dimension is about ‘how’ digital transformation helps work to be done and goals to be accomplished. Unfortunately, inefficient business processes can impede this initiative. 

For example, if your organization wasn’t born digital but you want it to keep up with the new players, can you reach this goal without automating repetitive day-to-day tasks? Unlikely. Automation is a hyper-trend and one of the key areas of technological investments for a reason but to leverage it entirely you need to set clear KPIs you want to achieve thanks to its adoption. Otherwise, if the end goal of the process stays uncertain for different teams, you can barely estimate the automation efficiency. 

To get complete visibility of your business processes use Business Process Management (BPM). Following this approach, you’ll figure out how to re-engineer your business operations for better outcomes. For example, you can benefit from cloud computing services by migrating to the cloud from legacy platforms or taking advantage of cloud optimization if you’ve already moved to the cloud.

Another challenge of this digital transformation dimension is achieving the proper level of security. COVID became a major booster for the digitalization of businesses. But the flip side is a huge security lapse because of remote work. To ensure the appropriate level of security you’ll need the help of agile methodologies, one of which is the practice of DevSecOps. At *instinctools, we integrate security into DevOps services at the beginning of the product delivery lifecycle by default to reduce vulnerabilities faster without impacting the deployment frequency and delivery speed.

  • Organization

Lack of organizational change management is one of the key transformation challenges that put your digitalization plans on hold. Only equal engagement of the C-suite and employees can guarantee that the transformational path is worth taking. 

Digital transformation

All the main stakeholders should be involved in the digital transformation process right from the start. The lack of buy-in support from the beginning can result in employee pushback. A familiar routine made them feel comfortable whereas transformation may look like a threat to their livelihoods. To turn your employees from opponents of new technologies adoption to supporters of innovations, make them confident that they’ll have new, easily adaptable roles in the newly established workflow.

Also, remember that your employees have a limit on the number of changes they can successfully process. Therefore, if there are a lot of changes coming, prioritize them to make your staff less stressed.

Another problem you may face while implementing new technologies such as BI, DevOps, cloud computing, etc. is a skill shortage and lack of expertise among your employees.  

Digital transformation

Take advantage of augmented teams so that your project will be done properly and won’t turn into a weapon against you.

  • Customer experience

Evolving customer needs inspire businesses to move forward but they are also the major challenge. The requirements for companies in terms of customer service are exceptionally high. What was earlier a nice-to-have option, such as an omnichannel experience, now is becoming a necessity. It’s good to deliver offerings targeted at a certain customer segment. But what if you go the extra mile and provide a highly individualized experience to each of your customers? Personalization makes it easier to reduce marketing and sales costs — they can be cut by 10-20%. Additionally, such an approach helps to put your business on the fast track to success by increasing the number of regular customers. Consider that the return on investment from programs that targeted loyal customers is three times higher than that of mass promotions. According to McKinsey, only 15% of retailers have fully implemented personalization strategies — use this advantage to outperform your competitors. 

Aside from getting detailed data on who your customers are you need to be able to make use of this information as quickly and easily as possible, observe the data comfortably to receive information in an intelligible form, and get actionable insights faster. That’s what comprehensible and insightful data visualization is for. You can also invest in marketing research to see what technologies your customers need and get in-depth customer segmentation or directly ask for feedback from your customers to shape your digital transformation strategy according to the answers.

  • Strategy 

Moving somewhere because you intuitively get that you should move is not enough, as not being able to identify the right direction and destination will lead you nowhere. Therefore, one more digital transformation challenge is the lack of a defined strategy. Of course, there might be earth-shattering situations such as the Covid-19 outbreak was, that accelerate digital transformation to incredible speeds making companies that want to stay afloat have to keep up with the pace. Sometimes, considering new market conditions, you should react immediately — there’s no time to take a step back to review whether your plan is thought-out enough. But if you begin your digital transformation journey under more favorable conditions, allow sufficient time to find your reasons for the transformation and your way to fulfill it since the absence of a clear digital transformation strategy may result in budget constraints. Think of your priorities and long-term goals to make decisions that’ll let you respond to customers’ needs without breaking the bank. 

Finding your roadmap to the digital transformation

Digital transformation is a journey rather than a destination, so there’s no need to look for an endpoint. You know how it works in real life — by the time the first half of your wishes come true, the other half will double. The same is with digital transformation — by the time you’ve implemented what you initially intended, there probably will be something new you’ll need to adopt. So don’t throw yourself into a dubious venture clicking on PPC ads that promise to help you remodel your entire business once and for all in several months after which you allegedly will rest on the laurels. Better think of what technologies are the most crucial for your company? Can you move step by step to catch up with and even get ahead of your competitors or do you need an innovative approach from the start? Numerous challenges that accompany transformation may seem insurmountable, but they are manageable with the support of an experienced and reliable partner. If you grapple with the complexity of identifying your digital transformation strategy, get in touch with our experts. They’ll prove that this process isn’t kind of a larger-than-life challenge but a manageable journey instead.

Immense Potential of ERP in the Manufacturing Industry: Unveiled

The manufacturing industry is no stranger to the challenges of production, inventory management, quality control, and cost containment. As global competition intensifies, manufacturers are struggling to meet customer demands for higher-quality products at lower costs. To gain a competitive edge in an ever-changing market, organizations need to utilize industrial software development solutions to increase efficiency, reduce waste and optimize their operations. 

ERP implementation in the manufacturing industry is a powerful solution that can help manufacturers improve their performance, streamline processes and reduce operating costs. It’s no wonder that 47% of companies looking to buy ERP are manufacturers, according to SelectHub. 

In this article, we will discuss numerous benefits of ERP in the manufacturing industry and outline a few key implementation considerations. 

How is manufacturing ERP different from industry-agnostic ERP?

Manufacturing ERP differs from generic ERP software as it is specifically designed to serve the manufacturing environment. It offers features and capabilities tailored for the manufacturing industry, such as product lifecycle management, recipe management, material resource planning, shop floor control, and inventory tracking.

Given that generic ERPs can be used in any industry, they require much more customization, provide a limited view of important data, and call for investments into add-ons to satisfy your industry-specific needs. In a nutshell, if you want to streamline manufacturing operations with ERP, opting for custom enterprise application development is highly advisable.

Benefits of ERP in the manufacturing industry

With an ERP system, manufacturers can get real-time visibility into every part of their operations, making smarter decisions and maximizing profits. Let’s outline the most important benefits of ERP in the manufacturing industry. 

Process automation

Manufacturing ERP is an invaluable tool that can help automate processes by building a digital workflow that incorporates the entire production cycle, from inventory management and order entry, all the way down to the delivery of goods.

Manufacturers can fully or partially automate work orders, report generation, capacity planning, stock replenishment, and a wide array of other operations. This eliminates the need for human intervention in day-to-day activities, simplifies tracking up-to-date information on the factory floor, and ensures that processes remain consistent while minimizing costs. 

Operational visibility

The most important feature of any ERP system is that it acts as a unified source of truth that can be accessed by anyone involved in the process. It is easy to detect bottlenecks and resolve them with real-time operational data available to decision makers, from factory floor employees to finance departments. 

Whether it’s equipment maintenance, customer purchasing trend analysis, material tracking, inventory monitoring, or supplier relationship management, ERP systems provide manufacturing organizations with a deeper insight into their operations, eliminate the duplication of effort and improve communication between departments. 

Real-time inventory overview

In manufacturing, inventory control often goes beyond routine material reordering when the stock is low. Many components and raw materials have a limited shelf life and require specific handling and storage procedures. Without a proper resource planning system, managing a myriad of stock units across multiple warehouses becomes arduous. 

ERP in the Manufacturing Industry

ERP systems can provide real-time information on inventory levels and conditions across all warehouses and distribution channels, allowing manufacturers to stay on top of their current stock, eliminate material wastage, and ensure that orders are shipped on time.

ERP in the Manufacturing Industry

Accurate planning

In today’s business climate, accurate planning, and forecasting are among the biggest prerequisites for success in manufacturing. By getting a unified view of traditionally disconnected processes like order tracking, labor distribution, machine availability, and inventory monitoring, ERP allows organizations to allocate resources effectively and plan their production cycles. 

Importantly, advanced ERP systems can automate the analysis of supply chain and historical sales data, which makes demand forecasting more accurate and reliable. This results in more efficient procurement, schedule planning, and inventory management. 

ERP in the Manufacturing Industry

Efficient management of the workforce

ERP systems can play a major role in making workforce management more efficient. By connecting data on inventory items, the factory floor, and employee data, ERP allows manufacturing organizations to track and analyze employee performance and productivity. This can help detect labor gaps and identify areas where training or personnel changes are necessary. 

Second, by automatically syncing quotes and timesheets, teams can proactively manage labor costs, optimize resource usage, and more effectively manage payroll. Third, modern ERP solutions can suggest optimal backfilling by considering skillsets, overtime, employee policies, pay rates, and other factors when making scheduling decisions.

Key considerations before starting ERP implementation in manufacturing

At this point, ERP implementation in manufacturing should be a no-brainer. However, there are a few key questions that every manufacturing organization needs to consider before diving into implementation. Let’s identify the most important ones. 

Custom or platform-based ERP: which one to opt for?

When selecting a new ERP system, it’s paramount to make a well-informed choice between custom and platform-based options. 

In a nutshell, the comparative ease of implementation and lower price of off-the-shelf ERP solutions come at the expense of limited flexibility. Meanwhile, custom ERP systems provide unlimited customization but come at a higher price. Although having the possibility to adjust systems to satisfy one’s unique ERP needs is rarely undesirable, there are certain cases when platform-based ERP implementation just makes more sense. 

For example, small manufacturers who have a few unique business demands, require fast implementation, have a limited budget, and need to solve immediate business challenges might opt for platform-based ERP. However, in most cases, custom ERP proves to be superior to its off-the-shelf counterparts. Custom ERP makes your manufacturing business future-proof, offering much-needed flexibility and scalability. 

Cloud-based vs. on-premise ERP system

The next critical question is whether to go for a cloud-based or on-premise system. The relationship between them is similar to that of custom and platform-based systems.

Cloud-based ERP systems are hosted by a third-party provider, allowing users to access the software online from any device and enabling manufacturers to quickly respond to production demands. Additionally, cloud-based ERP systems place the burden of maintenance and upkeep as these on third-party providers. At the same time, some might be wary about the safety of data stored in the cloud. However, if not ignored, data security best practices, such as encryption, multifactor authentication, backups, and others, are a great way to prevent data breaches.

On the other hand, the security of on-site software is almost impeccable. On-premise ERP systems are installed directly onto a manufacturer’s hardware, allowing for greater control over data security. This ensures that only authorized personnel have access to sensitive information and reduces the risk of a violation. Yet, on-premise ERP systems are much less flexible, take longer to implement, and put the responsibility for software maintenance on manufacturing companies.

Modules to include in your ERP software

Due to a multitude of nuances within manufacturing operations, companies need to have specific modules to get the maximum value from ERP implementation. While it’s quite ambitious to generalize module selection for such a diverse industry as manufacturing, the following ERP modules are instrumental to any manufacturing niche:

  • Quality management module to automatically perform and record quality checks on materials and current work orders. 
  • Serial tracking module to ensure reliable and optimized product traceability management. 
  • Bill of materials (BOM) to enable efficient planning, revision control, demand forecasting, and product lifecycle planning. 
  • Order management module to streamline sales management, procurement, and shipments. 
  • Warehouse management module to keep track of materials, control inventory, and optimize the distribution process. 
ERP in the Manufacturing Industry

Implementing ERP and figuring out what modules you need for your specific manufacturing needs can be quite a complicated endeavor. With elaborate experience in Odoo development, our team of experts can assist you in consolidating all your data within an ERP system, ensuring all the components interact seamlessly, and significantly increasing efficiency across manufacturing operations. Odoo’s modular design, flexibility, and cost-efficiency distinguish it from the crowd of other enterprise resource planning solutions — check out our Odoo vs. SAP comparison to find out more.

Manufacturing ERP integrations with other business systems

Best-of-breed ERPs can be integrated with your existing systems, which can enhance decision-making and increase operational efficiency. Here are the top 5 ERP integrations in manufacturing. 

ERP in the Manufacturing Industry

IoT systems

With IoT sensors constantly streaming data from shop floors, warehouses, and distribution centers, manufacturers can increase visibility in their operations and gain insights into production processes. 

E-commerce

By connecting ERP with e-commerce systems, manufacturing organizations can have a better view of inventory management and avoid stockouts. 

Human Resources 

ERP integration with HR systems allows manufacturers to optimize onboarding and training, streamline payroll management, and track employee productivity. 

Business intelligence 

Data centralization, provided by ERP, can bolster your Business Intelligence solution with new capabilities, optimize reporting, and allow for discovering new business opportunities. 

Manufacturing execution systems (MES)

Integration with manufacturing execution systems can help orchestrate processes on the factory floor and improve production visibility. 

Choosing a reliable manufacturing ERP vendor

The implementation of such a complex and cross-functional system as ERP entails certain risks and challenges. That’s why partnering with a reliable ERP vendor is crucial – its experience and technical capabilities will play a key role in determining how much value the system implementation can bring. We encourage you to partner with a vendor that has a comprehensive experience in your industry, guarantees post-implementation support, and can provide high levels of customization.
Here, at *instinctools, we tick all these boxes and more. From platform migration to custom module development to staff training, we are committed to helping our clients maximize the ROI of ERP integration and meet their unique business needs. 

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Offshore Development Center: Taking Offshoring to the Next Level

When economic turmoil takes a toll on the outlook of business innovation, an offshore development center appears to be the backbone of cost-efficient technological advancements. 

The already tough situation gets even more complicated due to huge IT skill gaps. Out of about four million job openings in the US tech market, 200.000 positions remain unfilled. The lack of talent goes hand in hand with the rising costs of technological innovation. To battle all-time high salaries and a talent crunch, organizations move technology production to other, more cost-efficient locations.

Outsourcing has been a well-established practice in pre-pandemic times and will continue its reign for years beyond. The rationale is simple: why would you pay $125K to get your software built in the US if you can hire a developer for $36K in Poland? After all, 2020 forced all of us to switch to remote collaboration mode.

But can an offshore development team suffice multiple long-term innovation imperatives? Unfortunately, the answer is probably no, so you might need another option.

What is an offshore development center?

An offshore development center (ODC) refers to an overseas development facility with a cross-functional team, the required office equipment and amenities, and fully managed processes — all tailored to the needs of a client. Opening an overseas development center allows you to save development budgets, accelerate time to market, and grow your market reach even if you face a lack of talent in your country.

Dedicated team as your first step to the offshore development center

Most companies don’t have the need to commit to full-grown centers in the early days of outsourcing. In this case, the dedicated team model can act as the middle ground between an IT staff augmentation and offshore software center. A dedicated team helps you counter the headwinds of talent shortages and skill scarcities, but with fewer resources compared to a full-scale offshore development branch.

offshore development center

A dedicated team carries the development process from ideation to completion as an autonomous agile squad allocated exclusively to your business needs and development tasks. This hiring model can cover both end-to-end development and specific processes such as design, testing, or business analysis.

Regardless of the area of competence, a dedicated development team brings to the table the following value:

  • Self-management and process setup;
  • Relevant expertise and domain knowledge;
  • Focused approach and transparent collaboration;
  • The flexibility and ease of hiring;
  • Bespoke hiring according to your unique job requirements;
  • Reduced cost of innovation as the vendor takes over overhead expenses, hiring costs, training, and employee benefits.

As you see from the impressive list of advantages, this collaboration option works best for long-term software projects with dynamic requirements. But what if you have specific security requirements or have to handle sensitive health or finance data? Or your project is hardware-dependent? In this case, you might find yourself grappling with a whole lot of security, equipment, and other overheads.

The bright prospects of dedicated development also dim when you need a whole software development hub to address your large-scale project needs. Managing a motley crew of 20 dedicated teams across different geographies and time zones becomes more trouble than it is worth. Outsourcing doesn’t seem like such a win-win solution anymore.

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When is an offshore development center your best bet?

So how can you build up your outsourcing capabilities and take the hassle out of team management? Go one step further and switch a dedicated team for a dedicated offshore development center. Along with the ease of crewing, an ODC extends your production capacity without increasing the risks.

Here’s when offshore development services can help you reap the biggest benefits.

Your business has special data security requirements

An offshore development center is like a new offshoot of your company, except that it is premised overseas. Therefore, it has everything you’d need in a traditional office to meet the required level of security. A private office space, authorized entry, software access control, and built-in network security make your ODC space the guarded fortress of product development.

As you have a single development unit, you won’t have to hire multiple management security information officers or compliance officers to track compliance adherence and security.

You require bespoke tech expertise

Niche skills might be expensive to secure or nurture unless trained in a more affordable location. Offshore dev centers allow you to set up a training center without spending your resources on third-party upskilling programs. 

In this case, the training course contents are customized to meet company-specific goals and do not expose your organization to additional security risks. In-house training also guarantees the right level of knowledge and is a perfect match for existing technology gaps.

Your project is huge

One-time or minor projects are often better off with a dedicated development unit, while large-scope development initiatives require continuous support, updates, and limitless scaling. An offshore center allows you to establish a continuous loop of delivery and scale your development facilities for multiple projects — all in one place.

You want to achieve more by spending less

If software development is not the core competence of your company, an offshore development location becomes the best option to keep your development costs moderate. ODCs are not typically packed with the same overhead costs that internal offices are. This way you get to reduce expenses such as office space rent, infrastructure, electricity bills, office maintenance, and, most importantly, salaries and taxes.

Unbeatable triad: benefits of offshore development services

You know there’s something to it when A-list companies resort to offshore development offices. Google, Microsoft, Apple Inc, and other giants have their technology development sites located in other countries, far away from their head offices. So, why do forward-looking businesses flock to offshore teams? We have the answer.

Providing domain expertise and vetted specialists at a lower cost

Offshore development services allow you to tap into the global talent pool, whatever the niche or domain knowledge you need. While your in-house candidate base is limited by geography, an ODC vendor has access to an infinite supply of vetted candidates from a rich, local talent database.

As ODC offices are typically premised in low-cost economies, a vendor helps you secure a local team of professionals at the fraction of the price you’d pay in-house. You don’t also have to deal with the pain of hiring and onboarding a new team, leave, insurance, and other employee costs, which significantly lowers your bill.

Taking care of complex administrative functions

From a legal standpoint, establishing an offshore development center requires you to create a new legal entity. However, you don’t need a degree in Legal Studies to make that happen. Instead, your local ODC partner does the heavy lifting of legal regulations, taxes, HR-related issues, and other administrative burdens.

It also means that you don’t have to dispatch operational resources overseas to solve issues like office renovations and payroll taxes or wade through the jungle of local laws and business processes.

Ensuring full compliance with your requirements

An offshore software team operates in full compliance with your industry regulations following documented development processes. As the team augments your in-house unit, you have full control over its performance and every operation of your projects. Moreover, an offshore software development office gets certified and audited in line with your specifications.

Investing in your own offshore development center: is the game worth the candle?

Offshore development centers have got a lot in store for fast-growing companies. However, you must go a long way to create a development center in an overseas location, especially if you decide to go on your own.

offshore development center

Choose your ODC destination

You first need to decide on the optimal location of your offshore development center. There are a lot of factors to take into consideration — from the tax policy to the English language proficiency.

A professional consultant is needed to help you look into the legalities of a business entity and select the right legal structure.

Once you’ve decided on a legal form, you need to submit a package of documents to the territorial registration authority for state registration.

Find, rent, and renovate an office

After all the paperwork is done, you have to find a workspace for your offshore unit. In most cases, the office will need renovation, new equipment, and other office materials.

Grapple with the local tax system

Now it’s time to dive into the tax mystery and find out more about your tax liabilities.

Hire recruiters, administrative, and support staff

As it’s a full-fledged office, your center requires trained personnel to take care of the workspace and handle your business processes.

Run a brand-building campaign

When you’re all set, your new branch needs some exposure to establish its market presence and get a headstart in the unknown business landscape.

Recruit and retain developers

And now, if you’re persistent enough to complete this arc, you get the final prize — the never-ending dread of hiring local specialists from the uncharted local market.

By this time, you might think that initiating an overseas office is an overlong, expensive, and challenging endeavor. You’re right, it is. But it doesn’t have to be if you have a trusted ODC vendor onboard that has a decade-long experience in setting up offshore centers. In this case, your responsibility area (and expenses) shrinks down to choosing your ODC location and validating completed tasks.

offshore development center

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What location to choose for your offshore software development center?

When scaling beyond borders with an ODC, the location choice can either make or break your undertaking. An ideal destination should offer a sizable talent market not to limit the growth of your center. The price-value ratio is also important to gain from the new office and innovate at lower costs. Moreover, your ODC team must be on the same wavelength as you, which is impossible with cultural and language gaps.

Eastern and Central Europe is traditionally considered to be a cost-affordable offshoring mecca. This is why Bulgaria, Romania, and Poland are among the most favored offshoring locations where all criteria are aligned. So let’s have a closer look at one of the leaders — Poland.

Extensive developers’ skill sets

Poland is home to software developers with high proficiency in multidisciplinary fields. The expertise and knowledge of Polish software engineers have earned them third place among locations with top developers. Moreover, Poland hosts the largest IT talent pool in Europe with over 400,000 IT professionals on the market, which makes this location a key IT powerhouse.

offshore development center

Dynamically growing IT market

While being a mature outsourcing market, Poland continues to gain more steam in the IT sector. According to Statista, the revenue in both IT and IT outsourcing markets has followed the growth trajectory over the last few years.

offshore development center

The country’s IT services market increased to a projected $6.45 billion in 2022, with outsourcing being the largest segment, valued at $2.29 billion. The resilient economy of Poland contributes to the overall image of a breeding business ground.

Strategic location in Europe

Poland’s EU positioning translates into a convenient time zone. Warsaw has a six-hour time difference from New York, which allows software providers to deal with their clients’ requests without delay. To put it into perspective, India is up to 12 hours away from the USA. As for other countries, such as the UK and the rest of Europe, Poland’s prime location allows for frictionless communication with no time lags.

Low development costs

Unlike other Western European countries, Poland offers vetted talent at affordable rates. According to PayScale, the average yearly rate for Poland-based software engineers stands at over $21,000 per year, while the average US developer is paid x6 times more. 

However, lower rates do not come at the cost of lower quality. Instead, the quality of software development is on the same or higher level than in top-paid locations. 

Compliance with EU and US data protection standards

Due to its strategic location, Poland is subject to the same data protection regulations as other EU countries, such as Germany or the Netherlands. Hence, the data protection regime in Poland is mostly governed by the General Data Protection Regulation or GDPR, a well-known compliance standard for EU companies.

HIPAA certification is also commonplace in the country, validating the skills of Certified HIPAA Professionals (CHPs), Certified HIPAA Administrators (CHAs), and Certified HIPAA Security Specialists (CHSSs). This means that compliance-wise, Poland stands on par with EU- and US-based organizations, suggesting high compliance literacy of local developers.

No communication gaps

Poland is a part of European culture, so there’s no cultural gap between the team and the client. The influence of European culture in Poland is combined with the global mindset of operating businesses. Therefore, business operations aren’t compromised when local teams communicate with people from different backgrounds.

Moreover, the country is well-known for its outstanding English proficiency. According to the EF English Proficiency Index, Poland ranks 11th out of 100 counties in the world for the knowledge of the English language. So as long as you speak English, you’ll be fully aligned with your Poland-based ODC team.

Mature R&D hub

Global tech leaders, including Microsoft, Google, Oracle, and others have located their research and development centers (R&Ds) in Poland. It proves that this ODC location offers a mature, affordable, and tax-friendly outsourcing framework that encourages foreign investment for the development of innovative products.

However, even the best setting can be rendered ineffective with the wrong team onboard. Therefore, the choice of a reputable and experienced partner is yet the most important success factor for establishing your foreign presence.

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What to look for when choosing a vendor for offshore development services?

The stakes are high when it comes to confiding a fully functional business unit to a third party. It means that your ODC partner should act as an extension of your company, know the ins and outs of your domain, and keep your business bar high.

And the easiest way to forecast the reliability of your offshore development center vendor is to look at its track record. The more ODC projects they have under their belt, the more likely your initiative to pan out. Here are some other ways you can validate the credibility of your partner.

Evaluate IT expertise

Besides English, your team should speak the language of innovation to power your products with the latest technologies. Usually, the main reason for one business to resort to a third party is the lack of high costs of technical knowledge and domain expertise on site. For instance, a company wanting to drive digital transformation doesn’t have what it takes to build a BI and analytics system, so they farm out the function to the vendor.

On this front, you should consider the particular tech stack and the focused domains that you are interested in. For example, *instinctools is a great fit for cloud-based projects (with Google Cloud, Microsoft Azure, and OVHcloud partnerships under our belt), custom enterprise software development, and Business Intelligence powered by Power BI, Tableau, and Qlik. On top of our tech expertise, we also offer a wide array of consulting services crowned with an end-to-end technology-enabled business transformation.

Besides the broad and in-depth technical knowledge, your partner should know the ins and outs of your industry to align technology with business value. With domain expertise, developers can also contribute on a conceptual level and minimize development risks. We, at *instinctools, have accumulated extensive industry proficiency that spans virtually all domains — from manufacturing to healthcare to entertainment.

Investigate relevant experience

No matter how far and wide your vendor’s technology command spans, it’s feeble without real-world experience. Therefore, the best way to set up your initiative for success is to drill down into the vendor’s portfolio. 

Ideally, the portfolio should feature similar projects in the same or an adjacent domain. Make sure that your selected partner also boasts hands-on experience in establishing offshore development centers and associated processes.

You can also reach out to the partner directly if you cannot find relevant projects — not all projects end up in the Clients section due to confidentiality issues. Client testimonials on Clutch, GoodFirms, and other directories can also give you an idea of the vendor’s maturity.

Focus on cost-effectiveness, not cost

A fully managed operational center holds great promise in terms of lower development expenses and ease of management. However, only a few deals grow into worthwhile investments, and the ODC model is no exception. Low-cost labor is often a key element of price calculations, yet is not the only one to help assess the viability of the offshore development center idea.

In some cases, procurement, project management, travel, and other hidden costs may backfire and get your cost gains to zero. So, the key to landing the right development partner is to understand the value you expect to generate from the offshore center and to correlate this value with the involved effort and investment.

Going beyond cost borders with offshore software development center

The competitive market dynamic cripples any business that isn’t fast enough to adapt and accelerate growth. To maintain a competitive edge, companies accelerate their technological initiatives and supplement traditional services with digital-first experiences. 

However, digital transformation is a costly journey unless taken to a more affordable setting. Offshore development centers help companies innovate and scale their technological offers at lower costs and less administrative hassle.

But despite the outward glitter, an ODC idea has a specific application area and doesn’t cater to all needs. Large-scale projects, niche skills, high-security requirements, and clear economic gain in your particular situation should be the main precursors to setting up a fully operational center in another country.

Scale beyond borders

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The Core Elements of Digital Transformation That Increase Your Odds for Business Success

As we’ve entered the Industry 4.0 era, any organization will have to adapt and work on all the core elements of digital transformation (DT).

Gathering political headwinds and lingering economic turmoil, including soaring prices, supply chain disruption, and whatnot – these are the conditions that businesses will have to endure in the coming year and, most importantly, in which they will have to develop. Yes, you read that right – develop. Otherwise, there will be no place for them in this frantically changing world. Digital transformation is the only way for companies to keep the lights on in ‘nothing but ordinary’ circumstances.

Given this fact, which would you prefer – to rely on your gut feeling and grope your way in the dark or to be fully armed and ready to go?

In a situation that constantly requires developing new revenue sources, the digital transformation of your business is the strategic answer. Don’t wait for pigs to fly, take the lead and move fast. Stick to the growth initiative if you want your transformation project to be among the success stories. McKinsey’s research proves that such an approach is more impactful than harsh measures like layoffs, cost cutting, and other slash-and-burn strategies. 

We’ve analyzed the main aspects of digital transformation and their role in your business success. 

Focus on creating a digital customer-centric ecosystem

Digital transformation is a process of building an all-inclusive business model and infrastructure, the elements of which work cohesively together to build success. There are four key components of digital transformation you should take into account – digital customer, digital workspace, digital infrastructure and operations, and digital products and services. Let’s dive deeper into each of them. 

digital customer-centric ecosystem

Digital customer

There are constant changes that influence customers’ behavior. Sometimes these changes can be drastic, for example, in 2020 when consumers of all ages began to buy goods and use services online because of the lockdown. The pandemic accelerated organizations’ digitalization across industries, making DT not a distant prospect but a decision to be made urgently. Deloitte’s survey reveals that 77% of CEOs agreed that the COVID-19 pandemic accelerated their plans for digital transformation. 

The market is also being shaped by a growing percentage of active internet users of different generations — it’s high among all age groups, and even the difference between the Silent Generation and Gen Z is not as huge as one might think. 

The Core Elements of Digital Transformation

As a result, a new type of modern customer has entered the scene — app-native buyers. Mobility alone reshapes entire industries. For example, 63% of users watch videos on smartphones and 34% on tablets. It can’t but affect streaming services, which need to ensure up-to-par viewing experiences on any device. 

The Core Elements of Digital Transformation

The trend of using mobile devices has an impact not only on the media and entertainment industry. In the e-commerce sphere, the situation is similar. Speaking of Amazon, 59% to 75% of its audience visits the company’s website via smartphones.

The Core Elements of Digital Transformation

To adapt to users’ rising demands, you need to constantly keep your finger on the pulse. One of the current best practices that shouldn’t be overlooked is personalization. By leveraging customers’ uniqueness, you make their experience better and, as a result, increase their lifetime value. It would be unwise not to take advantage of it, especially in industries such as banking, where organizations collect an overwhelming amount of personal data and have the potential to offer users the most accurate personalization. To provide customers with contextually relevant interactions and offerings, leverage: 

  • A real-time customer engagement strategy. In the B2C model, customers make decisions at the speed of light and you need to live up to expectations. Imagine a user visiting an e-commerce website and not being able to request information. To deal with this challenge, you can create a chatbot and leverage artificial intelligence (AI) and machine learning (ML) technologies to analyze users’ messages. That way, the bot will be able to evaluate and answer the most frequently asked questions, or route customers to a designated employee, if the request is complex.
  • An omnichannel experience. McKinsey’s research confirms that omnichannel shopping is becoming a given. It means you need to provide customers with a seamless user experience regardless of the channel through which they reach you. 

Here are a few examples of successful omnichannel practices. Amazon users can put items into the cart on their mobile devices, leave them there, and continue shopping later on the desktop. This is possible thanks to the synchronization of the mobile and desktop versions of the website — where the contents of the shopping cart are displayed identically on different devices. You can go even further and synchronize the online customer experience with the one they get in your brick-and-mortar stores, just as Walgreens did. Their customers can check and refill prescriptions in the company’s app, which reduces the waiting time for in-store pick-ups.   

The Core Elements of Digital Transformation

Thus, to attract digital buyers from different age groups and ensure their customer journey is seamless, you should work on the accessibility and personalization of your services.

Digital workspace

Creating a digital workspace is not limited to adopting state-of-the-art technologies. This process involves other activities that positively influence employee satisfaction and shouldn’t be discarded. 

  • Relieve your staff from monotonous tasks. You can leverage software to automate tedious processes and delegate them to RPA bots. Robotic Process Automation helps businesses speed up operations and minimize the possibility of human error. For example, in banking, RPA technology empowers you with end-to-end document processing as well as simplifies KYC and AML procedures, and regulatory compliance checks.
  • Provide your staff with the possibility to work remotely or choose a hybrid option. McKinsey’s research reveals that after the COVID-19 pandemic, the percentage of employees who opt for a more flexible working model increased from 30% to 52%. Also, consider the generation of your staff – 75% of Gen X, 84% of Millennials, and 66% of Gen Z make remote work a priority. For your employees to feel comfortable and productive when working from home, provide them with efficient information management tools, collaboration tools for communication and task management, and others.
  • Ensure the organization’s data is secure and protected regardless of what devices your employees use. If you allow your staff to work on their own devices, you should also develop a BYOD (bring your own device) policy that establishes particular guidelines that help ensure security. It may include providing employees with SSL certificates for device authentication and automated wiping of company software after failed login attempts 

By providing your employees with a digital workspace, you improve their working conditions and increase their involvement in working together to change your organization. McKinsey states that companies following this approach are 1.4 times more likely to succeed in digital transformation.

Digital infrastructure and operations

To reap the benefits of a full-scale technology-enabled business transformation, you should review both your current infrastructure and operations. Before deploying new, geeky software, it’s necessary to uncover the flaws within the existing systems and processes. Failure to identify areas of improvement is the reason why a quarter of transformational initiatives lose ~23% of their financial benefit. 

Consider technology enablement and process redesign as equally essential interrelated activities. To change the odds in your favor when it comes to digital transformation, make sure you implement particular technologies not for their own sake but to boost operational efficiency. That’s why building a digital infrastructure should depend on the specifics of your business processes. Yet, of course, there are some common elements that are worth paying attention to anyway.

  • Computing infrastructure. To achieve scalability, pay only for the resources you use, and avoid significant upfront investments in the hardware, you should move to the cloud unless you have security requirements under which on-premise hosting becomes the only option. If you’ve already been taking advantage of cloud computing, you can review it to optimize the resources and costs of cloud maintenance.
  • A robust data infrastructure. Creating data infrastructure includes setting up data collection processes, building a data repository, taking care of data quality and security, and much more. Solid data infrastructure helps you make the most of advanced analytics technologies such as business intelligence (BI). As the cornerstone of in-depth analysis, together, they provide the possibility to extract the gold of insights from the ore of raw, unstructured data. 
The Core Elements of Digital Transformation
  • Communication network infrastructure. To simplify, optimize, and rationalize existing processes in your organization, you’ll require leading-edge technologies such as 5G, Fifth-Generation Fixed Networks (F5G), IoT, Internet Protocol version 6+ (IPv6+), etc. 

It’s important to keep in mind that when businesses go digital, so do the attackers who want to steal your information. Make sure your infrastructure and operations are “secure by design” by following DevOps best practices.

Digital products and services

Marrying technologies such as cloud computing, IoT, mobile technologies, big data analytics, blockchain, automation, etc., enables you to stay ahead of the curve, adjust to customers’ rising demands, and offer truly innovative products and services.

  • Fundamental changes. Sometimes the changes that digital transformation brings are so significant that they affect entire industries, as it happened with transportation services when Uber was founded. The company broke the idea of taxi service in its classic sense and changed the market context. Besides, Uber went beyond the ride-sharing app stage and began offering food delivery to cover more needs of users. Such an approach forced other players to change their strategies to keep up. 
  • Peripheral changes. Implementing technologies already acknowledged as standard can also have a transformative effect. Take, for example, robotic process automation (RPA) for remote patient monitoring (RPM) in healthcare. With specialized apps, people can document their bio-data and track its changes in case of chronic diseases or the post-surgery period. The widespread adoption of this innovation during the COVID-19 pandemic helped hospitals and nursing staff cope with the huge influx of patients. For instance, a hospital in Belgium used RPM to discharge patients who were on the mend sooner and admit new patients in a more serious condition. Before this approach, patients spent an average of 9-14 days in the hospital. After RPA technology implementation, patients spent only 4 to 9 days in the hospital and then were sent home, where they were monitored remotely for another ten days. 

These examples sound inspiring and encouraging, but keep in mind that in some industries, such as finance, there’s still a huge gap between the front and back office processes. On the one hand, there’s mobile banking where users can transfer funds, pay bills, track spending, etc. On the other hand, in most cases, customers still have to come to the bank’s office and sign papers to get a bank account. You can overcome this gap by digitizing basic operations from the beginning of your customer journey.

The Core Elements of Digital Transformation

The time is NOW: start your digital maturity journey

One of the changes we’ve all seen in recent years is the exponential growth of speed at which business shifts are happening. And you have to be prepared for a speedy evolution. There’s no room to postpone working on the digital maturity of your business any longer. IDC research reveals that 75% of companies will have comprehensive DT implementation road maps by 2023, compared to only 27% in 2021. If you want to uncover new revenue sources and be more people-oriented speaking of both customers and employees, it’s high time to take up a transformation initiative.

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How to Create a Cryptocurrency Exchange: *instinctools Ultimate Guide

Despite the up-and-down nature of the cryptocurrency market, many startups are determined to capitalize on it and want to know  how to create a crypto exchange of their own.

Statistics project that the yearly growth rate (CAGR 2022-2027) of income in the cryptocurrency sector will be 16.43%. This is welcome news for those who are looking to take advantage of the digital currencies market in the long-term. Furthermore, at the “Future of the crypto exchange” panel held in London this September, leaders of renowned crypto trading platforms like Binance and Huobi shared the impressive results they had achieved in spite of the difficult year.

Global payment systems are also moving in the crypto direction and forging new connections between digital and fiat money. For instance, Mastercard enables settlements using crypto on its network, and Visa has become the first major payment network to settle transactions in USDC. 

Huge brands, including TAG Heuer, Hublot, and Breitling, also accept cryptocurrencies for payment with the help of special crypto payment processors that allow customers to make purchases with, let’s say, Bitcoin or Ethereum, while the company can instantly get the equivalent sum paid in fiat money.

If you want to know how to create a crypto exchange and make it a truly lucrative solution, check how we’ve dealt with challenges while building one of the first white label crypto exchanges in Europe. 

What is a cryptocurrency exchange platform?

Determining what you want to end up with is crucial since “a cryptocurrency exchange” can imply different things. 

  • A full-fledged trading platform where users have more than a basic understanding of crypto and are willing to become successful crypto traders. It’s a sophisticated technical solution and a serious investment of resources and money. For instance, you’ll need to develop crypto exchange software such as an order matching engine (OME), which is the backbone and beating heart of a crypto trading platform that gathers and synchronizes data across multiple trading pairs.
  • An instant crypto exchange for crypto-to-fiat and fiat-to-crypto transactions. Unlike a crypto payment gateway, embedded into your existing solution, a crypto exchange is a full-fledged business with its own business model. It’s a practical high-demand option with easy access for users who don’t want to trade and need to convert one cryptocurrency to another or into fiat currencies. In this case, you have to deal with challenges such as integrations with financial institutions. But, the workload is much smaller compared to a trading platform. 

Either solution can become a profitable opportunity for your business. In this article, we mainly focus on instant crypto exchanges. Let’s investigate the pain points our experts have highlighted in more detail.

Types of cryptocurrency exchange platforms

Crypto exchanges can be centralized (CEX, managed privately) or decentralized (DEX, without central ownership). Many companies speak about DEX without knowing what it really means and whether a business can truly benefit from such an option. 

Choosing between a centralized or decentralized exchange is a no-brainer, as DEX is still the utopia of crypto enthusiasts. Decentralized crypto exchange platforms are tricky to manage because of the distributed assets. Also, they often have problems with a lack of liquidity.

If in CEX, centralized management ensures liquidity thanks to your partner banks, DEX mostly relies on the client’s money and uses complicated schemes to fulfill the liquidity pool. So, if users suddenly rush to sell cryptocurrencies, a decentralized exchange platform will most likely run for a few hours and stop, as the money will be gone, and there will be nowhere to get it from.

On top of that, DEX implies anonymity, which is synonymous with the unregulated zone, and one of the biggest challenges in cryptocurrency today. And this, in turn, completely contradicts the legal conduct of business. 

Cryptocurrency exchange architecture explained

Let’s talk about how to build a crypto exchange platform in terms of architecture. Your solution can be monolithic (built on a single server) or based on microservices (each component is located on a separate server). 

Monolithic architecture

With such an approach, all the code is stored in a single repository instead of being fragmented across different services. So you will need top-tier development team as not everyone can operate with such a volume of code. 

Because of the high connectivity, monolithic architecture is hard to test. But it is possible to divide data into layers and work with them to speed up the process. Moreover, you’ll spend much less on support compared to microservices. 

This type of architecture is especially suitable for MVP projects, testing a hypothesis, and market research. For example, will your targeted audience use your solution to the extent you expect, if you make your own crypto exchange?

Microservices

A microservice architecture is known for its flexibility and scalability. It makes operating easier in a distributed system or when many changes are required. Furthermore, you’re not limited to one programming language and can leverage different ones for separate microservices.

You have a wide choice of specialists who can create separate microservices for your solution as different languages suit this. Be it PHP outsourcing, Python, Java, or another language; you can implement the crypto part functionality in almost any of them.

A microservice architecture also paves the way to creating solutions with a high workload and performance speed, such as crypto trading platforms, because you can rely on Kubernetes (K8s). This orchestration system ensures the creation of self-healing environments while the system scales. Whenever K8s detects an infrastructure failure, the system can auto-restart, auto-replicate, or auto-scale to keep the infrastructure reliable.

But consider that you need a strong DevOps team to set up Kubernetes and that a microservice architecture is expensive to build and maintain. Additional costs are conditioned by the complexity that microservices cast on the system and the necessity to hire more developers with first-rate skills.

In general, this option is suitable for organizations that already have a mature product with a growth trend and have developed the requirements for the technical solution in detail. 

how to create a crypto exchange

If your system is not supposed to accept a million messages per second, you can comfortably and efficiently run it on a monolith. Microservices are more convenient if we’re talking about a very distributed team, like 50 developers working on different features in different time zones. Microservices are easier to deal with as each microservice is a dedicated piece of logic. And it’s always easier to work with a small amount of code than with a large one. 

So the question is always about the scale of your solution and the size of your team. From my experience, 90% of startups have a monolithic architecture. Yes, microservices scale better and faster, but it doesn’t mean that large-scale projects can’t be built on a monolith. Even banks run successfully on a monolithic architecture. 

Whichever you choose, remember that you have room for change. A monolith can be divided into microservices. It’s possible to design the solution architecture in such a way that moving to microservices will take no more than a month. And, vice versa, microservices can be assembled into a monolithic architecture if they are too troublesome to manage.

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Four challenges to deal with when building a crypto exchange

Here comes the trickiest part, where you have to solve issues at a granular level. It involves choosing appropriate functional blocks for the solution, developing an intuitive UX/UI design, ensuring proper security measures, and testing the platform before going live. 

Functional modules selection based on our client’s success story

Each crypto exchange platform is made up of functional blocks. Their selection depends on your business goals, desire to stand out from the competition, customer needs, and regulatory requirements.

For example, you should investigate whether you can store users’ sensitive information in the cloud. In the case of crypto-to-crypto exchange platforms, it may be acceptable and won’t cause regulatory compliance issues. But in the case of crypto-to-fiat solutions, cloud services are most likely not an option, as it happened with our crypto exchange project in Europe when the regulator imposed a ban on storing users’ sensitive data in the cloud. 

In addition to limitations related to building a white label crypto exchange, we had to consider the client’s expectations regarding the technical features of the solution. It had to include highly intelligent hedging and a high degree of the calculator’s personalization depending on various parameters while keeping the user interface simple. Intrigued? Then let’s dive deeper into what’s under the hood and what’s on the surface in this case. 

Cryptocurrency exchange software, like any software, includes backend and frontend development.

The back end 

In the crypto exchange solution we’ve created, the following functional blocks are linked to the back end:

  • Blockchain processors. This module is responsible for blockchain integrations and provides access to cryptocurrency operations. 
  • Card processors. An additional module if you want to reach more users and offer a crypto exchange for fiat. It’s the block of integrations with the financial institutions – banks or PSP service providers, such as PayPal in the US and Europe, and Alipay in Asia. 
  • Admin module. Here you manage depersonalized users, transactions (and fix suspended transactions), and the exchange itself (you handle fees, commission, etc.). There are two points you should pay special attention to hedging and interacting with your liquidity provider.

Hedging. It’s an automated process of balancing your fiat and crypto assets at the level of daily transactions. When a user exchanges $100 for crypto, automatic hedging is responsible for a mirror purchase of cryptocurrency from your liquidity provider. 

In the crypto exchange software we’ve created, hedging is not just automated but intelligent. Instead of hedging every transaction, the system keeps a certain corridor of fiat and cryptocurrency balance. We’ve streamlined the hedging process so that the system can interact with the liquidity provider only when transactions step out of the balance corridor.

Interactions with your liquidity providers. You need them to fuel your crypto exchange platform with cryptocurrencies and fiat money. In contrast to hedging, here we’re talking about balancing an amount of money within a 2-3 days turnover of your crypto exchange platform.

In a dream world, exchange operations are balanced. However, reality interferes with this dream, showing a constant disproportion either on the side of cryptocurrency or on the side of fiat. That’s why you should keep your finger on the pulse to reach out to your liquidity providers in time. 

  • CRM. As we’ve mentioned before, in the case of our client, the regulator had a strict requirement to store customers’ personal data only in the country of their citizenship. Furthermore, due to security reasons, only a limited group of employees have access to the CRM module, where all the sensitive information about the users and the history of the interactions with each of them is stored. 
  • Customer support. This service is interlinked with the CRM, since, to access tickets of a particular user, you first need to get their data from the CRM. 

The client’s front end

It’s the web version of your cryptocurrency exchange platform that users interact with. In addition to the main service window, it includes a personal account that functions similarly to a personal account in a typical banking application. 

A calculator is crucial to the crypto exchange software’s front end. 

A calculator can be simple when the cryptocurrency exchange rate is the same for all registered users. However, in our crypto exchange solution, the calculator is highly personalized and calculates the exchange rate individually for each user considering a plethora of parameters.

For example, the rate will be different for cardholders of different banks, owners of basic and premium cards, ordinary and VIP clients. It also will depend on a transfer method (card or a bank account), the availability of a one-time or permanent promo code, etc.

The calculator, in this case, is a microservice that is tricky to build at the code level as you have to handle a mind-boggling number of possible errors. For instance, with all the personalization, you must consider AML and card limits for each user.

Here is the interconnection scheme between the backend and frontend modules in the crypto exchange solution we’ve built for our client.

how to create a crypto exchange

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Intuitive UX/UI

Exchanging crypto for fiat and vice versa raises more questions than regular exchange transactions. That’s why proper UX/UI design is vital to provide users with all the necessary information while not overloading them with information. 

Never underestimate the complexity of creating a simple solution. On the one hand, you might want to put as much meaningful information on the calculator’s screen as possible. Payment methods, service and blockchain fees, standard exchange rates and exclusive rates for the cardholders of a particular bank, limits, customer support, etc. – all seem equally important. On the other hand, you had to create a concise crypto exchange platform that users can grasp intuitively.

Here are the final desktop and mobile user interfaces of the white label cryptocurrency exchange created by our client.  

how to create a crypto exchange
how to create a crypto exchange

Security issues

The challenge here is not only how to create a crypto exchange platform but also how to build a secure solution both externally and internally. Let’s sort things out.

External security of a crypto exchange refers to infrastructure and service.

  • Infrastructural security. You can host your crypto solution on AWS, Azure, Google Cloud, or similar cloud services. Any cloud provider will offer you basic protection against external cyberattacks. If we use AWS as an example, it can automatically detect and mitigate most external attacks. 

Your provider guarantees a complete set of protection mechanisms against various hazardous events. And if you’re building a self-hosted solution, you’ll have to take responsibility and ensure protection against different risks by yourself or with the help of a reliable development partner. 

  • Service security. It applies to handling your database, customers’ sensitive information, and private and public keys. Let’s look at each case.

Your database should be stored appropriately on a separate server. Take into account your regulator’s storage requirements when building a crypto exchange. For instance, even if your code is stored in the Cloud, the regulators may insist on keeping the database on your company’s servers locally. Also, ensure that your code interacts with the database securely and that information can’t be intercepted.

A breach of your customers’ data (e.g., a list of your clients’ names) can’t result in a withdrawal of money, but it has reputational risks for your company. So, there are general steps you should take to ensure sensitive data safety, such as having de-personalized databases and storing personal data in a separate location. 

When creating a crypto exchange, one more point to consider is the security of public keys (used for users’ identification) and private keys (needed for authentication and encryption). For instance, all private keys must be encrypted and stored in a distributed way to make them inaccessible from the outside.

Internal security also includes working with personal data and ensuring proper protection against your administrators, as they have access to system addresses. The rights of access and disposal of these addresses must be automated. Otherwise, if employees are allowed to carry out payments, their rights need to be strictly limited or double-checked with a multi-signature system, meaning another employee, such as a security officer, approves the transaction.

We’ve already mentioned the importance of a strong DevOps team in your crypto solution’s architecture. DevOps specialists are also in charge of setting up and securing the internal infrastructure. They ensure that the databases remain unchanged – any attempt to break into the data is logged and monitored to prevent intruders from covering their traces.

Testing peculiarities

Testing is an indispensable part of cryptocurrency exchange software development projects. There are different types of tests, which we scrutinized in the article about performance testing. However, you don’t have to run them all. Choose the ones that are particularly crucial for your requirements. Based on the experience of our crypto specialists, we can say that it’s vital to perform load, stress, and spike tests. 

For example, you’ve initially chosen a microservices architecture for your crypto exchange platform that can handle a thousand transactions per second. In this case, you need to test whether the solution can sustain such a load. It’s the load type of testing. Stress and spike tests are next in line. 

how to create a crypto exchange

Most blockchains have a testnet. It is a copy of the mainchain, a live environment where you can perform transactions with any amount of tokens using your test addresses and nodes with zero risk. 

Working with the testnet has its own peculiarities. So it’s better to have an experienced tech partner by your side who knows how to set up a development process accordingly. 

If your crypto exchange platform allows not only crypto-to-crypto operations but also crypto-to-fiat transactions, you’ll need testing on the fiat side as well. If you integrate with banks, they’ll offer you their sandboxes to run transactions in a testing mode. 

Finding a reliable tech partner to create a cryptocurrency exchange is half the battle

Starting your own centralized cryptocurrency exchange may look tricky and scary. Until you find an experienced technology partner who can create a crypto exchange in a form that best suits your business needs and customers’ expectations. A reliable tech ally chooses the appropriate architecture and identifies the suitable functional modules for your solution as well as creates an intuitive UX/UI design, provides the crypto exchange platform with a proper level of security, and runs testing responsibly.

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5 Challenges in Implementing Big Data Analytics Based on Our Client’s Experience

While well-informed decision-making makes all the difference, it comes with certain data analytics challenges which, if ignored, put your efforts at risk.

As data analytics has become increasingly more influential in the business world, organizations everywhere consider it the main objective. In turbulent times to come, it is vital to get a comprehensive image of how an enterprise works and how its resources are allocated. However, in order to make the most of your data, certain issues have to be addressed, or else the data analysis process can be impeded. 

This article will focus on the biggest challenges in data analytics. Here, our customer’s experience is used to illustrate the obstacles on the way to insights, with advice from our business intelligence consultants on how to handle them.

The scary five of big data analytics

Our client is a fashion retailer looking to get their data initiatives across the goal line. However, the company’s digital transformation was put on pause as it struggled to get hold of the right data management strategy and BI tools. 

Here are the challenges highlighted by our client and the pro tips to solve them suggested by our experts.

1. Inability to define user requirements properly

The company in question has been dabbling into the potential of BI tools and data visualizations for a long time. However, our client had no hands-on experience in business intelligence, and so, couldn’t accurately define BI requirements. 

With a requirement brief on hand, it would be easier to suggest a technological solution. But our BI specialists did an amazing job analyzing the business needs and making the most accurate technical adjustments in accordance with them. Essentially transforming their demands into clearly defined objectives. 

Pro tip: If you are new to the BI ecosystem, make sure to get professional advice from an experienced technology partner. In this case, your vendor will do the heavy lifting of requirement elicitation, while you can choose one of the suggested technical solutions.

Challenges in Implementing Big Data Analytics

As it turns out, our client also struggled to communicate the requirements because they did not have a focus area to start with. Instead, the company was trying to encompass each aspect of business performance, from revenue to inventory turnover, and squeeze all the KPIs into one all-in dashboard. While it is certainly possible, the miscellany of metrics makes your reports less digestible.

Pro tip: Start small by identifying a few core metrics to track and visualize. By going with one functional area at a time, you increase the odds of a more successful and consistent BI adoption process and eliminate the lion’s share of data analytics challenges.

Challenges in Implementing Big Data Analytics

2. Carrying out system changes without considering the impact on data of other departments

In most cases, it’s not enough to map out the KPIs for analysis and tracking. For cross-functional teams, it is also important to first clarify and define what these metrics mean. As departments may do calculations in different ways, a shared understanding of KPIs and their calculation prevents the discrepancy in the value of the metrics.

On this line, our client’s another data analytics challenge was the different perspectives on the same metrics across business departments. As such, offline sales managers viewed the sales revenue as everything earned from the sale of the clothing, including the VAT charge added on top. Conversely, the accounting and finance department uses the net revenue of both online and offline sales as the core metric. 

Our team has eliminated this knowledge-sharing gap by introducing a glossary of KPIs for decision-makers. This way, each department gets a fix on the metric in use, associated data sources, and the metric formula. Decision makers also set personal ownership of each performance measure and assign a dashboard owner within a department for a given metric. 

Pro tip: Make sure you have selected the right metrics to display and are fully aware of how KPIs end up in executive and operational dashboards. Consider using separate dashboards for each department to avoid metric ambiguity and overlapping.

Challenges in Implementing Big Data Analytics
Challenges in Implementing Big Data Analytics
Challenges in Implementing Big Data Analytics

3. Lack of a unified corporate picture

While each business unit should get a detailed view of internal metrics, CEOs need a more high-level overview of business performance. A high-level snapshot provides a bird’s eye view of company performance and its bottlenecks. This may be done by providing an executive summary of the top KPIs across business units or by providing high-level reporting dashboards for each department in the company.

The metrics included in an executive dashboard vary by industry and company. Retailers might want to keep tabs on profit and revenue per square foot, logistics costs, profitable marketing channels, top-grossing items, gross margin return on investment, and other vitals.

As for our client, the company needed a unified monitoring report that sources and consolidates predefined values on a company’s performance. The dashboard should offer a quick health check with the possibility of drilling down into a particular metric. As for variables, our client went with three separate screens for sales analysis, profit dynamics, and customer data that demonstrate the YoY (year-over-year) growth.

Challenges in Implementing Big Data Analytics
Challenges in Implementing Big Data Analytics
Challenges in Implementing Big Data Analytics

Pro tip: Bring metrics by a specific department to a common view needed for executives to act on. An executive dashboard should include core, high-level metrics that can be used for a unified business strategy language.

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4. Collecting meaningful data to the agreed standard

Around 95% of our clients think that it’s enough to compile each piece of business data, send this hoard to the BI tool, and call it a day. While it would be a perfect scenario, in most cases, companies are inundated with scattered data sources that lack administering. This is a textbook example of data management gone wrong.

What are the challenges of data analytics in this case? In the absence of the right data architecture, modeling and administration, your data quality does not stand a chance of producing remotely accurate and meaningful insights for decision-making. As a result, 77% of companies struggle to derive high-quality data, which leads to distrust in the organization’s data and analytics.

Challenges in Implementing Big Data Analytics

Pro tip: According to our big data experts, the issue of data quality cannot be solved at the analytics level. It should be eliminated by introducing a unified data management strategy within the organization. A business intelligence tool can then be used as an acid test for your data quality.

Getting back to our client, the organization had the same problem of missing data values, incomplete input, duplicates, and other snags. Moreover, the company did not have the integration architecture to share information between various subsystems automatically. 

Our team advised the organization on the best practices of collecting, storing, and transforming their data as well as took over the technical aspects of seamless data sharing between the business systems. Our data engineers identified the source of master data within each business unit (CRM, ERP, and others), selected the right data model, and calibrated the sharing process between master sources and data warehouses. 

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5. Staff resistance to adopting a new system

A low adoption level of BI among your employees can also become a significant roadblock to your data analytics efforts. Currently, the ceiling on analytics adoption among its end users stands at an average of 25%, while others favor traditional spreadsheets or gut-based predictions. 

The root cause of this problem can stem from low-level skill training, the complexity of a BI tool, or the fear that automation can displace an employee. Each type of rationale should be approached individually, while the overall value of a reporting system should be clearly communicated and demonstrated to each employee. 

At first, our client struggled to get employee buy-in on having Power BI as an analytics standard. The main reason for the aversion among employees seemed to be people’s natural resistance to change.

Following the unique user needs of each business unit, our BI specialists have adjusted the interfaces to the specific department. The onboarding was followed by internal workshops for each department and facilitated by creating documents with guides on the tool.

Based on our tried-and-true experience, we know that any business transformation initiative, including big data analytics implementation, brings the most value only when process optimization, the deployment of cutting-edge technologies, and cultural shifts in people’s minds move towards each other, not further apart.

Pro tip: Low business intelligence adoption is inevitable if you neglect the role of the people involved in your processes. Build a BI interface with the end user in mind and ensure a smooth take-off by setting up single onboarding training.

Navigating your company through data analytics challenges: the easy way

Just like every house is built on solid ground, insight generation is built on a data foundation. Ironically, data itself is one of the biggest challenges in data analytics that can cripple your BI management and lead you to the wrong decision.

We helped our client to realize the full potential of data analytics and use it to their advantage. By having a unified data architecture and the right technology footing, the company can now get a real-time view of core business operations and act on the data to grow, innovate, and adapt to the fast-past retail market ahead of the competitors. 

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Automated Data Lineage: Remove Chaos From Your Data

Impeccable data quality and accuracy are deemed vital precursors in the quest for data-driven decisions. This strategic reliance on information leaves no room for error and places input transparency at the heart of the data management process. Automated data lineage is what gives you confidence in your assets and helps eliminate any errors throughout your data flows.

Data lineage tools allow companies to look into the “what”, “when”, and “where” of their data. They give the full context to the final insights, be it the input source or the evolution cycle. Let’s see what else this data-related practice can bring to the table.

What is automated data lineage?

Data lineage refers to the process of tracking and visualizing data flows throughout the organization – from the source to the ultimate destination. Lineage graphs tell the story of your company’s data and demonstrate how it took its current shape, whether it’s by merging, transforming, or integrating.

Origin tracing goes hand in hand with metadata. The latter summarizes information about the data itself, including its type, format, author, date created and updated, etc.

Because of this, data lineage produces a data mapping framework by gathering metadata from each step of the pipeline. Lineage tools then store these insights in a metadata repository and demonstrate over-time changes via metadata through simple visual flows.

Automated data lineage

How can data lineage bolster your analytics?

Over 80% of companies report revenue growth after adopting real-time analytics systems and processes. But how can you get your analytics right against the odds of multiple business systems and applications? Data lineage (and not just some lineage, but an automated one) can save you a lot of effort when it comes to business analysis.

Simplify root cause analysis

It’s common for different business units to act on the same metric. However, when it comes to quarterly planning meetings, each department head suddenly reports a different number on the same KPI. Let’s take ‘sales per quarter,’ as an example. The sales department might claim that they’ve made $1m, while the finance department says it’s $0.75m, as that’s the amount of money that has been deposited into the account As a result, the persistence of erroneous data throughout the enterprise’s systems and robs decision-makers of time and productivity, as they must continuously vet data to ensure it remains accurate.

By automating data lineage, business leaders can easily trace the origin of reporting errors. The stepwise record of data assets sheds light on the black box of insight generation and builds trust in the data estate of the given organization.

In particular, up-to-date data lineage helps you locate the most upstream nodes of your system that experience the issue. Most likely, this would be ground zero for your problem. The following lineage graph visualizes the hierarchy of data within the organization.

Automated data lineage

Also, if your data and BI management are in good shape, you won’t even need the help of a BI team to trace it back. Meanwhile, mature data architectures that saw little maintenance might need a dedicated BI unit to restore the origins.

Achieve and maintain compliance

The complex data landscape makes adherence to regulations an uphill struggle for compliance-heavy organizations. Companies just cannot provide the required level of transparency needed to meet HIPAA, GDPR, and other guidelines.

Data-lineage documents help organizations map data flow pathways with Personally Identifiable Information to store and transmit it according to applicable regulations. In this case, companies can capture the entire end-to-end data lineage (including depth and granularity) for critical data elements.

Get answers as questions arise

Although pipeline mapping alone cannot ensure data accuracy, automated data lineages can at least deliver a full view of the metadata so that you can see why exactly you have this number in your report. Put simply; you can locate a given business term and trace it to multiple applications, data sources, models, analytics, and other elements of your digital estate.

Unlike manual data tracing, automated data lineage tools minimize errors and return the result in seconds with each manipulation logged.

Simplify data migration

Data integrity and quality issues tend to haunt the majority of migration projects. According to the study, 44% of U.S. organizations admit that poor data quality slows down the migration process. Moreover, unless eliminated, these issues can affect downstream systems and manifest themselves when it comes to the end user. Also, these are tricky to spot during data testing.

To tackle migration challenges, data engineers need to identify the location and lifecycle of data sources. By using automated data lineage, your data migration team can obtain this information flat out, minimizing migration risks. Your engineers can leave all duplicate, outdated, and redundant data behind and identify the structure of a data asset slated for migration.

Instant impact analysis

To estimate the scale of data change, tech specialists resort to impact analysis that demonstrates which downstream systems will be affected in the process. Automated lineage helps pinpoint dependencies and identify the exact stages under impact – with little to no manual effort. Those stages can then be revised to accommodate the changes and promote data consistency across systems.

The following data lineage diagram example demonstrates how data flows through four different applications:

Automated data lineage

This is why if you introduce changes to your data warehouse, you can easily see which dashboards the alterations will impact.

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Manual vs. automated data lineage: which does it better?

When it comes to origin tracing, companies and their IT departments have two options. They can either delegate this task to automated data lineage tools or rely on manual, also known as descriptive, data lineage.

Descriptive data lineage

A descriptive data lineage is one documented manually. In this case, data analysts dedicate effort to recording the information about how the data element is updated over time and how it ends up in a warehouse. This type of lineage is extremely time-consuming and prone to errors stemming from manual input.

Automated data lineage

By delegating lineage to a tool, you automatically handle the metadata recording process. Automated tools trace the asset changes and transformations throughout its lifecycle and make that information readily available via visualizations. From a tech standpoint, you provide meta-integration components to the tool and can then access the visualizations even with no prior knowledge of ETL processes.

However, data lineage automation calls for careful scope selection as this initiative can turn out quite expensive with the wrong choices. Also, the more legacy systems you have, the more data lineage challenges you will face, as aging ecosystems cannot provide metadata sources.

Tracing automation allows you to reduce the expense and effort required to document data lineage. Tools offer autodiscovery and integrations based on machine-learning techniques for creating metadata and building interactive data-lineage flows. Conversely, manual tracing has its inherent challenges linked with resource intensity and isolated workflows as it sits within the remit of the data governance team.

Сommercial or open source data lineage tools: which one to choose?

Data is a man of a thousand faces. And it’s either canned solutions or open-source data lineage tools that can reveal the true face of your assets. Let’s have a closer look at the dichotomy between the two.

Costs

Although it’s impossible to put an accurate price tag on both, making your data lineage open source appears to have more cost-saving potential, at least at first sight. However, free lineage tools typically cannot suffice your unique business needs, thus requiring pricey customizations to an indefinite extent. Commercial tools have all pricing options laid out for you.

Ease of use

Open-source data lineage tools usually require more time and effort from users to navigate due to complex user interfaces and little onboarding guidance. Contrarily, commercial tools tend to walk the user through the interface with more intuitive flows, solid documentation support, and managed pathways.

Alignment with your architecture

If your tech ecosystem already revolves around a particular provider, such as Microsoft Azure, it’s only logical to choose a lineage tool from the same supplier. In this case, the tool will integrate natively into your ecosystem and have no compatibility issues. However, if your stack isn’t centered around a specific offering or you don’t want to go big with your lineage efforts, you can opt for open-source tracing.

For example, one of our clients has a well-calibrated data management process where the team has almost complete visibility into how the data circulates between the systems. The client’s team injects lineage graphs only when they need to dig deep into the data. In this case, open-source tools will be enough.

Integrations and scope of visualizations

As lineage involves tracing the data footprint throughout its entire journey, data lineage tools should be able to integrate easily with your current stack. This includes everything from storage, injection, and visualization and all other stages where your data is originated, stored, or transformed.

Commercial software usually takes over the whole data lifecycle, thus having access to all processing stages via proprietary APIs. As a result, canned software visualizes detailed, all-encompassing insights about your data lineage.

For example, data lineage in Power BI integrates natively with the entire Azure ecosystem, while open-source software requires you to build custom APIs to access metadata.

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Adopting data lineage: best practices

The main rule of thumb in implementing lineage is to balance this practice against your unique needs and existing capacities. For example, in some cases, the project agenda of our clients requires our data engineers to resort to dedicated lineage tools such as Monte Carlo. In other cases, we build and connect this feature on top of other tools like Apache Airflow.

While lineage experience varies by company, we still have some universal advice on how to track your data origins in the most holistic and comprehensive way.

Keep it omnipresent

To remain authoritative, data lineage should permeate each stage of your data journey, including the phases of sourcing, ingesting, storing, analyzing, and visualizing. However, its presence at each stage should be meaningful and insight-rich, contributing unique nuggets of information to the knowledge body. So when deciding on the integrations, make sure you map data elements at every stage.

Prioritize quality over quantity

Over the last few years, there has been a dramatic shift from vast reams of data to knowledge centered around individual data components. The same trend applies to lineage automation. Instead of embracing the entire data landscape, it’s better to look into relevant metadata details, such as the asset owner and the presence of the asset in downstream sources. This way, you can define the value of each asset for your analysis.

Have the lineage view at the field level

Field-level lineage is key to understanding the relationship between the fields in the data set, thus facilitating root cause analysis. When your pipeline cracks, field-level lineage automation allows your data teams to see exactly how each field of your data circulates in your system and which transformation it has been subject to.

Automated data lineage

Keeping it at the field level helps to ensure the accuracy and quality of insights, point out errors in a revenue report, and trace columns with sensitive information to downstream dashboards.

Decide on the unified data lineage language

Just like any business communication, data lineage should be based on the common dictionary of terms to spread knowledge within the company. To establish a common understanding, your data lineage should rely on clear naming, which represents the data it’s describing. Naming conventions and style guides help people analyze data consistently, making data lineage diagrams easily digestible for all team members.

You can also streamline communication about data lineage between multiple stakeholders to maintain a shared understanding and get feedback on your graphs. To do that, your lineage tools should include built-in collaboration capabilities and notify asset owners about data changes.

Collect, store and prioritize metadata

While troves of high-level data hardly translate into accurate data lineage graphs, substantial amounts of metadata are beneficial to your tracing efforts. Therefore, having a rich metadata repository leads to a more comprehensive snapshot of all report components and faster troubleshooting. Also, including the relevant metadata for a given data asset makes your lineage graph exhaustive and helps you fully realize how potential changes will turn out in reports.

Let data lineage grow with your business

As your business expands, the data footprint of your business processes also builds up. To maintain data tracing complete and full coverage, your lineage architecture should be scalable and include an ever-evolving input stretch. This is why, no matter the analysis area, your lineage tool should look into every pipeline, report, and stack layer at the field level, joined by ample metadata.

Solving the mystery of data discrepancies

Knowing what goes into your report gives you confidence in your data and guarantees the right course of action afterward. Automated data lineage helps you develop a full view of your data evolution and track an individual number to its place of origin, preventing errors in decision-making. However, getting an accurate lineage graph requires a well-balanced data architecture to let the lineage tool mine metadata throughout the entire data lifecycle.

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Business Process Transformation: The Ultimate Guide on Accelerating Out of Crisis

Business process transformation is the key for companies to gain an edge over the competition and create new sources of value.
In response to the anxiety-provoking combination of war in Europe, soaring inflation, and energy crisis, companies might be tempted to turn on a survival mode. However, this single tactic will hardly protect them from the continuous changes coming their way. Companies that pay too much attention to temporary defensive initiatives risk neglecting activities essential to gaining ground on rivals, reaching long-term objectives, and even getting some unexpected immediate triumphs.

Today, the business process transformation framework is what can take you from stagnation to revitalization and help you safely transition into the future. But how can you make this shift? Let’s find out.

stages of business transformation

What is business process transformation?

Business process transformation is an integral, holistic, and long-term endeavor that involves the complete modernization of a company’s IT backbone and associated business processes. The business transformation process model also triggers cultural shifts in the mindsets of both decision-makers and employees to alter the way a business operates on a cellular level.

Why do the majority of transformational projects fall short?

The gap between expectations and the outcome of technology-enabled business transformation is often enormous. A discouraging 52% of companies stated they missed their target. The high failure rate of the business process of digital transformation stems from multiple pitfalls.

1. Poor strategizing

Although implicitly understood by executives, a company’s strategic objectives are sometimes poorly translated into implementation choices. This leads to diluted value and hampers a successful business transformation.

2. Lack of skills

Lack of skills. While having the right talents on board and effective workforce planning results in a 10% increase in productivity over five years, 90% of company leaders admit that recruiting and allocating top talent to support the digital technology behind the transition remains a challenge.

3. Inability to grasp the business problem

Inability to grasp the business problem. Poor requirements gathering at the planning and targeting stages of the transformation business process is the reason behind 39% of failed projects. It means that transformation initiatives lack solid business analysis, as a result, failing to identify areas of improvement, the scale of change, risks, key performance indicators, and other precursors of the new business strategy. A lack of a feasible use case also increases the risk of scattershot resource allocation.

4. Inefficient investment

Unlike traditional operational and capital budgets, the budget for business process improvement is a flexible figure with many unknowns. Without a predictable budgeting model, companies may end up pouring more budgets into standalone software or any other innovative solution with a low impact on desired outcomes.

5. Change fatigue

Change fatigue. Around 39% of employees experience resistance to organizational changes, which negatively impacts employee buy-in during any transition. This change burnout can result either from low workplace morale or poorly communicated value of transformation initiatives.

The pitfalls we mentioned above tend to fracture your transformation success. However, it’s something else that breaks it.

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Which is more critical in delivering value for business: process transformation, technology implementation, or the cultural shift?

To get the business process transformation model right, you need an integrated approach that links business strategy to transformation ambition to execution discipline and all the way to employee engagement. 

While tangible value can be achieved through measurable process optimization, employee buy-in is supported by effective change management and incremental mindset shifts. Therefore, business process management and digital transformation rest on three equally important pillars: process redesign, technology enablement, and a clearly communicated vision across the whole company. 

Process optimization

Optimized processes lead to optimized business goals and increased organizational efficiency, setting the stage for disruption-free changes. Optimizing a process also presupposes automating key repeatable aspects of that process and removing bottlenecks. 

In this case, technology consulting emerges as a strategic partnership for a company that aims to improve operational agility with automated and governed workflows. We’ve curated common business process transformation examples that can be achieved with automated processes.

AreaOptimization at workOutcome
FinanceAutomated month-end reporting
Finance data management

ERP systems implementation
Real-time analytics
Faster and more reliable reporting
Better regulatory compliance
Faster finance decisions

Minimized risk and instantaneous decision making
Sales and marketingClient segmentation

Email automation
Dedicated CRM platform

Sales forecasting
Insights into cross-, up-, and re-selling potential
Lead nurturing
Targeted offers and granular marketing initiatives
Streamlined cash flows and demand-driven production planning
Logistics operationsSmart warehouse system

Automated inventory management
Integrated order management

Data-driven resource allocation
Cost cutting and operation visibility
Real-time insights and asset tracking

Simplified sales process 
Talent managementAutomated employee performance

Streamlined onboarding 

Internal innovation hubs
Easier progress tracking and increased employee satisfaction
Better document management 

Reduced costs of training

Technology enablement

At-scale technology implementation is among the main levers of business process transformation. CIOs can drive real, technology-driven change based on a more flexible, modernized infrastructure that adjusts to the evolving business needs and markets. 

Business transformation tools in a digital era include, but are not limited to:

  • Cloud-based solutions reduce the costs of data processing, promote business continuity, and ensure easier scalability and access to innovation.
  • Enterprise applications increase the portability of mission-critical data and amplify collaborative workflows.
  • Integrated data analytics, business intelligence, and visualization tools inform business decision-making in near real-time and help companies identify the correlation between operations and results faster.
  • AI-enabled process automation increases the ability to scale, streamlines manual tasks, and reduces operational costs.

However, technology can only deliver anticipated value if it is designed to help you solve your business challenges from the start. On that same note, you don’t have to inject money into complex custom solutions at the onset of your transformation. An experienced technology partner can make standard solutions work for you by customizing them to your needs.

We make the most of generic solutions by customizing your options

Reach out

The involvement of employees

People are your strategy in motion. Employees’ mindsets are ingrained by past management practices and cannot look into the future. Yet, paradoxically, people are also the organization’s most underestimated asset. Only 50% of employees are satisfied with the resources they have at their disposal to learn how to use new technology. 

To galvanize employees during the leap, business leaders should provide ongoing internal opportunities to upskill and reskill. This will help staff to build up adaptability as an evergreen competency and reduce change anxiety. Having training, documentation, and subject matter experts also eases the strain on employees and helps them better adapt to new settings.

Organizations at the transition stage should also think of employees as the end users (or stakeholders, if you will) of transformation. Knowing exactly how your employees will interact with and use new tools and how new technology will help them drive superior performance is essential to a successful digital transformation.

What to start with? First business process transformation steps

The right performance transformation efforts should have an all-in agenda. They cut across business units and functions, have a dual effect on both the top and bottom lines, and engage the workforce.

However, all great things start small, and so does the path to a successful business process transformation.

Spot gaps and inefficiencies

You cannot improve what you can’t measure. To improve your company’s performance, you need to know exactly what to work on and have a clear understanding of the current business situation. 

A solid performance gap analysis will help you define what aspects are lacking in the performance of your company in comparison with your competitors and industry benchmarks.

When you are well aware of your current business posture, you should proceed with setting S.M.A.R.T. goals for your destination. Goal-setting will enable you to locate specific objectives that can be achieved in a 1-2 year horizon, thus creating lighthouses that can be scaled later.

value-complexity matrix for a business transformation initiative

A properly executed performance gap analysis and informed ambitions provide a starting point for developing a plan of action. If you’re struggling with any of these planning activities, our experts will provide you with a vantage point by conducting a step-by-step gap analysis based on best agile practices.

Create a strategy

A holistic and well-defined strategy is one of the main drivers of the transition’s momentum that helps shape an achievable transformation ambition through actionable guidelines.

A plan of action, in this case, is premised on accurate resource allocations, business evaluation, metrics, and bottom-up planning. Organizations that have invested in articulating their strategy can then translate strategy into an incremental delivery plan with defined roles and measurable outcomes.

Business transformation strategy implementation

Estimate your resources

And the trickiest part? Breakthrough projects must be performed and delivered under specific constraints. Likewise, resources are one such constraint that should be strategically and dynamically shifted. 

Whether it’s reallocating existing assets (talent, technology, and investment) or injecting new ones, organizations should prioritize areas where resource boosts would generate the greatest impact for the transformation. Therefore, business leaders should start by assessing the profitability and resource projections for every meaningful business cell.

If companies do not have enough expertise to assess the value creation potential, they can turn to third-party business transformation analysts to find ROI outliers and determine the right magnitude of action needed for a shift. 

We, at *instinctools, help companies drive technology-enabled business transformation with a consistent transformation strategy, thorough gap analysis, and effective employee training.

For those who want to accelerate maximum business value from their transformation initiative, in one of our upcoming articles, we’ll share *instinctools’ unique approach to make it happen.

A real-world example of how transforming a single process flipped the script in our client’s SDLC

Instinctools’ client, an EdTech company, initially low-prioritized software testing of their SaaS learning management system (LMS). However, several years post-rollout, this decision led to unstable, underperforming, and costly-to-maintain software. Therefore, they decided to make quality assurance a mandatory pre-release step to level up solution quality. 

First and foremost, our team of QA engineers set up a clear workflow for various types of manual functional testing, a mandatory step to ensure a hiccup-free transition to automation. This solid groundwork helped us cover 85% of the LMS functionality with automated tests, empowering the client to:

  • Nip x40 defects in the bud stages of SDLC
  • Cut bug repair costs x160
  • Speed up development cycles x5 

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Make the leap, take the lead

In a business environment, change is inevitable, but growth is optional. Business process digital transformation allows organizations to embrace, govern, and benefit from this change. A business transformation arena unites each organizational, institutional, and digital effort into a cohesive and agile organism to foster groundbreaking overhaul in processes, IT infrastructure, and business culture.

Done right, this collective effort can help a company to adopt a “better, faster, cheaper” approach and accelerate the pace of decision-making at optimized costs. However, this leap requires solid groundwork manifested in a transformation strategy, effective resource allocation, and training programs. Miscalculating any of these components can lead to insolvency, instead of business-led growth.

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Anna Vasilevskaya
AI modified real photo
Anna Vasilevskaya
Account Executive

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