Data Analytics Services

Can’t cross the chasm between messy, low-utility data and a single insightful source of truth? Instinctools gets you to the other side in one leap without skipping a bit in your everyday operations.

Our data analytics services are designed to make your decision-making:

  • Evidence-based
  • Precise
  • Value-targeted

Your data has answers. We help you see them

Making the right decisions is not enough to grant your business a thriving future. You have to make them faster than your competitors do. And with *instinctools as your data analytics service provider, you’ll hit the mark day to day.

82%

of our clients increased ROI and decision speed in just 3 months with new data analytics solutions

52%

higher data quality

38%

faster time to insights

Up to 8 hours

per week saved via report automation

10–15%

higher revenue compared to the gut-driven competitors

Why *instinctools

Increase speed to market

01

Reduce development cost

02

Assure information security

03

Get high-quality software

04

Scale team up and down

05

Our data & analytics services meet you where you are and turn your data into a powerful business asset

We assess the volume, variety, and complexity of your data and identify your data analytics priorities to deliver a solution that best fits your business challenges and needs.

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BI analytics

If understanding what happened and why satiates your analytics craving, there’s no need to over-engineer data solutions. As your data analytics company, we collect, clean, and label your raw historical and real-time data to fully prepare it for a business intelligence tool.

  • Custom dashboards
  • Report automation
  • Embedded analytics

Augmented analytics

Static reports won’t cut it if you need to examine data from multiple angles. Our data engineers enable advanced analytics with AI algorithms at its core. With context-aware sentiment analysis and natural language querying, your teams will be able to turn massive data sets into actionable insights on demand, without waiting for analysts.

  • Self-service analytics
  • AI-driven data queries
  • Smart report personalization
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Agentic analytics

Want to handle complex analytics tasks with no or minimal human input? We implement AI agents that analyze, interpret, and act on enterprise data, freeing you up for governance and big-picture thinking.

  • Automated multi-step analysis
  • Intelligent decision support
  • Self-generated data insights and recommendations without you asking

Featured success stories

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Uncompromising data protection all the way through your analytics journey with *instinctools

Data is the driving power of your business, and with us as your data analytics service provider, you stay in complete control of it.

We follow a well-calibrated information security framework to ensure you get all the benefits of data analytics without risking the privacy of your data. Our unwavering focus on physical, technical, organizational, legal, and ethical data protection implies:

  • Secure software development lifecycle
  • Secure infrastructure
  • Personal data protection
  • Information security procedures
  • Intellectual property protection
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Certified to the highest ISO standards

Data analytics challenges we fix

Whatever the frustrations that haunt your data analytics’ speed, reliability, and scalability are, we’ve heard them all and solved them all.

Your problem, voiced Your problem, solved
From data silos to a single source of truth
“Our data is scattered across multiple systems.” We set up a centralized data repository and create data
catalogs to provide you with a consolidated data view.
From poor data quality to data excellence
“Whenever a report comes in, we end up double-checking
the numbers instead of using them.”
Our automated checks catch anomalies, duplicates,
and other discrepancies before they reach your reports.
From inefficient and pricey data infrastructure to optimized cloud cost
“We moved to the cloud expecting lower costs and better
scalability, but our bills keep growing, and we struggle to
spot where things went wrong.”
We double down on right-sizing your databases and
compute instances by dynamically adjusting your cloud
resources, optimizing data transfer, identifying and disabling
redundant services.
From slow data processing and outdated reports to getting your questions answered right away
“We need real-time data but our reports are overflowing
with days- and weeks-old information.”
We establish real-time data processing and suggest adopting
AI-powered advanced analytics if you want to get valuable
insights instantly.
From limited data analytics accessibility to its visibility across the departments
“Our teams know what to ask, but they don’t have the
technical skills to pull and process the data.”
We build intuitive, easy-to-grasp analytics solutions that
understand natural language queries, empowering anyone to
dive into data and extract valuable insights, no tech
background required.
From being unprepared for AI-driven solutions to getting the hang of advanced technologies
“We’d love AI-powered enterprise analytics, but we’re still
struggling with the basics — just getting clean, reliable data
is an everyday challenge.”
After fixing your enterprise data foundation first, our AI
engineers focus on delivering the maximum value AI
algorithms and agents can provide to bring better business
outcomes.
Share your data and analytics problems

From 10% to 100%+: we empower you to utilize all your data and even more

Only 1 in 5 companies uses their data to the fullest, multiplying its value. The rest rely on only 10% of structured data, neglecting the potential of the remaining 90%*.

* According to McKinsey, IBM, and Accenture

With *instinctools as your analytics services company, you’ll discover that even 100% isn’t the limit. We implement machine learning techniques to help you tap into unstructured and synthetic data and develop analytics solutions that push data boundaries and boost ROI.

A line graph shows ROI on the y-axis and types of data on the x-axis: 10% structured data, 90% unstructured data, and infinite synthetic data. ROI increases as data moves from structured to synthetic, marked by three yellow-green dots on the line.
Move beyond 100% with our analytics services

Building a comprehensive data ecosystem

Regular, hot-off-the-press business insights into the ‘what,’ ‘why,’ and ‘what’s next’ are off the table unless your analytics has a solid and scalable data architecture under the hood. As your data analytics firm, we put your data on the front burner and align data strategy and architecture with your company’s needs to drive business growth.

Data collection

The path to data-driven decision-making starts with setting up a solid ETL/ELT pipeline. Our data engineers build yours by:

  • Extracting data in all shapes and formats from your databases, spreadsheets, business apps, online forms, IoT sensors, communication tools, social media platforms, etc.
  • Performing basic data transformations (cleansing, deduplication, format revision) and advanced ones (derivation, joining, splitting, summarization) to unify diverse, complex data.
  • Loading analytics-ready data into your database.

Data storage

We analyze your functional requirements (data volume, format, and structure) and non-functional requirements (data storage performance, scalability, and reliability) to provide a best-fit storage option.

  • Data warehouse for structured, low-variety data that’s frequently accessed for descriptive or diagnostic analysis.
  • Data lake for large, diverse datasets.
  • Two-component data storage, where raw data is stored in the lake, while cleaned, structured data is transferred to the warehouse.
  • Data lakehouse when you need a unified system with built-in governance for scalable, advanced analytics.

Data processing

Based on your budget considerations and expectations about data updates frequency, we choose the optimal way to process your data:

  • Save costs with batch processing if your data doesn’t need immediate analysis and can be transferred to storage at predefined intervals during off-peak hours (once a day, every other day, once a week, etc.).
  • Streamline processes with real-time data conversion and organization if having hot-off-the-press insights is vital for your business.

Data cleansing

Our data engineers scrub and prep your big datasets to perfection.

  • Filter out irrelevant data
  • Remove incorrect and incomplete data fields
  • Fix formatting, spelling errors, etc.
  • Clear away duplicates and redundancies

Data mining

We understand your data and your business with its concerns and aspirations. Instinctools data scientists double down on data mining to uncover non-obvious, ROI-impacting patterns and trends in your data. By classifying and clustering data points, our team turns complex data into practical insights about new sources of revenue, ways to increase customer trust, optimize operations, hone risk management, etc.

  • AI-accelerated data mining
  • ML-driven data modeling
  • Continuous data model evaluation and modification

Data analysis

Once your data is clean and ready, you can interpret it to solve business challenges and get highly accurate answers to all of your questions:

  • ‘What’s happening?’ (Descriptive analytics)
  • ‘Why did it happen?’ (Diagnostic analytics)
  • ‘What’s coming next?’ (Predictive analytics)
  • ‘What’s the best move?’ (Prescriptive analytics)
Enlist expert support to put your data in order

What our clients say

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Bonnet
Patrick Reich
Co-Founder & CEO

The expectations for the quality of the initial product were very high. I think *instinctools did a great job ensuring those expectations are met. We met the developers we were going to be working with and it quickly became apparent that they are very qualified and were able to deliver the vision that we had from our side for the product. They clearly told us what they were going to do, and if there were questions or problems along the way, they clarified them really quickly thanks to transparent communication.

CANet
Dimitri Popolov
Research Data and Systems Manager

We had a tight delivery deadline and *instinctools has been able to find another developer and assign him to our project from one day to another. And we’ve been able to successfully deliver this project. When the partner is good, things are just getting done. And that was the case with *instinctools.

Helvar
Matti Vesterinen
Solution Development Manager

The quality has been good. It’s been on the expected level: things come on time, we have a good visibility on the things that *instinctools developers are doing and performing for us, communication is good. Wherever we see that we need some more exra resources, we have found *instinctools to be a good partner in helping us out on those areas.

SpecTec
Tim Rosenberger
Director, Global R&D

I’ve been impressed by the available skillset, the flexibility to ramp up resources quickly, and the scalability to extend development teams on short notice. I look forward to continue collaboration with *instinctools and their contribution to our projects.

Lition
Richard Lohwasser
Co-Founder & CEO

People at *instinctools are quite tech heads, which I like. They have used very advanced libraries, advanced techniques, advanced coding paradigms. So the advantage is that we get reusable code, that we get well-testable code, we get well-maintained code.

IPwe
Dr. Jonas Block
Product Owner

The *instinctools team exhibits the flexibility and professionality required for young companies. You can rely on their tested structures and processes that integrate nicely with your internal workflows. Being able to grow your team quickly with experienced professionals that start delivering value immediately and without a long interview process is a huge help. And personally, you will be working with a team of kind and interesting people.

SpexAI
Nadine Walther
Co-Founder & CEO

The team is dependable when it comes to managing time and finances, consistently staying within the designated budget. We’re pleased with *instinctools. Their business analysts are exceptional. They serve as the spokespeople between technology and business, representing both sides effectively.

Deif
Jeanine Shepstone
Senior Technical Writer

Instinctools is good at understanding the technical issues – once an issue is outlined, they do not need repeated explanation. They also do not simply accept a proposed solution, but they think about it and propose a better solution. I was really impressed by the custom interface they built for us – we outlined the requirements, and they implemented them in a user-friendly way that makes the interface a pleasure to use.

Sebastian Belle
VP of Engineering

Instinctools does deliver on time and budget. The company proactively asks how they can support our efforts and provide ideas how to help us with very good candidates with expertise that either we requested or that instinctools identified to be missing.

Get the most from your data with our data engineering add-ons

Seamless migrations, AI-ready augmentation, compelling visual storytelling… We put your data and analytics solutions to work beyond a well-designed architecture.

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Data migration

Switching tools or systems shouldn’t slow you down. From Excel to BI, from one BI tool to another, from BI to augmented or agentic analytics — our data engineers smooth out the bumps on your way to a new data analytics system. As part of our data and analytics services, we review your data sources, transform data to ensure it fits the new storage, and outline a data migration strategy with data security and business value in mind.

  • Migrations during off-peak hours to minimize the impact on your business performance
  • Built-in data quality checks for high-quality output
  • Streamlined metadata management for better data discoverability and governance
  • Optimized database schema for more efficient storage, retrieval, and processing of data
  • KPI-aligned data mapping

Data augmentation

Want to capitalize on AI-based data analytics but you’re short on training data to train large language models or dealing with privacy-sensitive datasets? Our ML engineers generate synthetic, anonymous data to enrich your existing set without compromising security or accuracy.

  • Providing enough high-quality data to squeeze maximum value out of AI-driven analytics
  • Preventing model overfitting
  • Improving the overall performance and accuracy of large language models’ predictions
  • Strengthen data privacy by design
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Data visualization

Crafting a custom data visualization on an open-source tech stack or customizing platform-based solutions — our BI engineers excel at both. They create interactive dashboards tailored to your KPIs and workflows, so that you can get the story behind the numbers and act on the insights faster. Zoom out for strategy or zoom in for detail — your options are limitless with *instinctools as your data analysis company.

  • Role-based data access
  • Granular vs. high-level insights
  • No-code drill-downs for non-tech users

Data analytics modernization

An outmoded, underperforming, or inaccurate analytics leads to messy, slow, and error-prone decision-making. Take a lean road to an up-to-date analytics solution with a trusted analytics company.

  • New-gen analysis methods
  • Better storage solutions
  • AI-powered insights
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Level up your data and analytics solution

Tech stack and ample experience

Data storage and warehousing
PostgreSQL
MySQL
ClickHouse
Data flow orchestration
Apache Airflow
Apache NiFi
Data ingestion
Fivetran
Kafka
Airbyte
Data modeling
dbt Core
Snowflake
BigQuery
Query building, NLQ and NLG
LangChain
DataRobot
H2O
Open AI
Llama
Claude
Gemini
Phi
Data visualization
PowerBI
Tableau
Qlik
Superset
Redash
BIAMP
Metabase
D3.js
echarts
Saiku
Cloud platform solutions powered by
Google Cloud
Microsoft Azure
AWS
OVHcloud
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Zeroing in on what others miss

Besides focusing on the big picture, top-performing organizations never fail to take a closer look at the fine print. We believe your company deserves that same level of attention. For the *instinctools team, no detail is too small if your business growth is at stake. To ensure your analytics solution drives the expected results, we put a premium on:

  • Accessible and detailed documentation
  • User guidelines with step-by-step instructions and analytics best practices
  • In-person and online staff training

7 in 10 companies* struggle to establish a solid data management framework. We make it effortless

* According to McKinsey

Backed by the ISO 27001 certificate, our data and analytics services incorporate clear procedures for every stage of the entire data lifecycle, from secure data collection to its interpretation, archiving, or safe disposal. With us, you get a strong yet flexible data management framework that adapts easily to match your business’s evolving requirements hitch-free.

  • Data quality assurance with mandatory cleansing, normalization, validation, and integration steps to establish a constant flow of consistent, accurate, and reliable data.
  • Data governance with clear data ownership and data privacy policies to protect data from misuse while ensuring its company-wide accessibility.
  • Business data stewardship to provide you with in-house experts for managing data within each of your business functions.
  • Data security and compliance with regular risk assessment to ensure the data can’t be accessed, modified, and used by unauthorized parties and is compliant with current regulations, such as GDPR, CCPA, etc.
Two business professionals in formal attire discuss data on a clipboard while standing in a modern control room. A large wall screen displays graphs, world maps, and data analytics. Another person works at a computer in the background.
  • Data quality assurance with mandatory cleansing, normalization, validation, and integration steps to establish a constant flow of consistent, accurate, and reliable data.
  • Data governance with clear data ownership and data privacy policies to protect data from misuse while ensuring its company-wide accessibility.
  • Business data stewardship to provide you with in-house experts for managing data within each of your business functions.
  • Data security and compliance with regular risk assessment to ensure the data can’t be accessed, modified, and used by unauthorized parties and is compliant with current regulations, such as GDPR, CCPA, etc.

Awards and recognition

FAQ

What types of businesses benefit the most from your data analytics services?

Our project portfolio is clear evidence that businesses of any size and from any industry benefit from choosing *instinctools as their data analytics service provider. But most of all, our services and deep domain expertise help those companies that have a hard time understanding what they want. We clear their vision and walk them down a straight path to data excellence.

How long does it take to implement data analytics software?

The timeline of analytics projects depends on the state of your data, and the type and complexity of analytics you want to have. Here are the benchmarks:

  • Getting scattered, low-quality data in order can add weeks to the project timeline
  • BI software can be implemented within 2–8 weeks for a small business, 1–4 months for a mid-size company, and 3–6 months for an enterprise
  • Augmented analytics adoption requires 1–3 months for a small business, 3–6 months for a mid-size company, and 6–12 months for an enterprise
  • Agentic analytics projects are rare at a small business scale and take 6–12 months for a mid-size company and 12–24 months for an enterprise.
Why should I choose your analytics services over other providers?

Let our clients speak for us. Top mentions in their reviews include:

  • Proactive attitude throughout the whole cooperation
  • Exceptional quality of delivered analytics solutions
  • On-time and on-budget delivery
  • Unique expertise and willingness to share knowledge
How much do data analytics solutions cost?

The cost of data solutions depends on the data volume and its quality, the need for artificial intelligence and machine learning technologies, and whether you consider platform-based customized solutions or want a fully custom one.

Here is the range of data and analytics services costs based on our completed projects:

  • Traditional BI analytics costs $10k–$50k.
  • An augmented analytics solution with advanced data visualization is worth $50k–$150k.
  • Highly autonomous agentic analytics with self-generated insights usually require $200k–$2M+.
Can you integrate with our existing systems and data sources?

Yes, decades-long experience with all kinds of data sources and software empowers us to develop analytics solutions that seamlessly integrate even with legacy systems.

How do you ensure data accuracy and integrity when building data analytics solutions?

Data accuracy and integrity start with robust data integration. Our data and analytics services imply unifying large data volumes with varying structures and formats to provide you with a single source of reliable and valuable insights.

Do you provide master data management within your data services?

Yes, a well-defined master data management framework is the backbone of our data analytics services. We understand how essential it is to have reliable, consistent data on your customers, suppliers, products, and employees to make informed business decisions, that’s why we double down on:

  • Data quality assurance
  • Data reconciliation
  • Data governance
  • Data hierarchy management
  • Data audit and version control
Anna Vasilevskaya
Anna Vasilevskaya Account Executive

Get in touch

Drop us a line about your project at contact@instinctools.com or via the contact form below, and we will contact you soon.