Data isn’t just a byproduct of business anymore—it’s the bedrock for making your business AI-ready. While we remain technology-agnostic, we harness the power of top tech partnerships to fast-track your transformation, ensuring your data is always high-quality and accessible when you need it most.
For your customers, this means transforming their experiences. For your enterprise, it’s about driving strategic growth through more accurate decision-making. We also prioritize data integrity, combining responsible AI with sustainable practices, so your data works harder and delivers more.
With over 100 data analytics consulting projects and a thriving AI/ML practice, we bring the right mix of domain experience, frameworks and accelerators to create a tailored data strategy that drives real results.
We’ve developed a structured approach to data analytics services delivery that we call the D.R.E.A.M Framework
D
Review of your data and existing challenges, goals and business objectives, as well as opportunities
R
Development of core features of a minimum viable product to validate data strategy and architecture
E
Ongoing implementation of various analytics including AI integration; iteration based on feedback
A
Feedback and performance metrics analyzed to adjust strategy and implementation to optimize performance
M
Regular updates and enhancements to ensure longevity and optimization of your data analytics solutions and maximize your data ROI
65%
Shorter time to market for new products
$24 million
Saved due to operational efficiencies
90%
Prediction accuracy in recommendations
5 million
Customers with improved service
90%
Reduction in data processing times
Our strong partnerships give you the full freedom to opt for the best providers and tools for the job.
With a focus on results, we help you choose the right technology to get you there faster.
Industry expertise in financial services, automative, retail and other industries
End-to-end data and analytics services that incorporate strategy, governance, engineering, and AI integration
Data architecture is designed to support seamless cloud integration, advanced AI capabilities, and automation
A comprehensive, structured approach to data services, aligned with your business goals for impactful, measurable results
3K
experts
22
years of digital consulting and engineering
14
delivery locations
100+
completed data projects
Rostyslav Fedynyshyn
Head of Data and Analytics, Practice Leader
Rostyslav is a results-driven Head of Data & Analytics Practice at Intellias with nearly 10 years of comprehensive experience in Big Data, Analytics, management, and consulting. He is recognized for expertise in building robust data strategies, implementing effective data governance frameworks, overseeing seamless cloud migrations, and orchestrating the development of cutting-edge Data & Analytics platforms. Rostyslav holds distinguished certifications as an AWS Certified Solutions Architect Professional and SEI Software Architecture Professional. He also has a proven track record as a seasoned Data Solutions Architect across diverse domains.
Eugene Berko
Director of Technology Practices
Director of Technology Practices at Intellias with 13+ years of experience in software engineering, management, and consulting. The area of Yevhen’s responsibility is the company’s technology offering in the fields of Data & AI, Cybersecurity, IoT, Cloud & DevOps, Support, Intelligent Automation, Business Applications.
Driven by passion for learning and making a difference, Yevhen is also a firm believer in flexibility and providing a unique solution to each problem rather than following 300+ page frameworks. He often speaks publicly and is interested in the topic of using Generative AI to solve real-world business problems as well as the art and science of governing AI.
Viktor Sokolov
Head of Data Governance Unit
Viktor brings 20 years of expertise in data and analytics, with a strong focus on the finance, retail, and wireless communications sectors. His key areas of specialization include data governance, data warehouse development, data modeling, and the implementation of BI systems for large-scale data environments.
As the Head of the Data Governance Unit at Intellias, Viktor works with clients to implement strategic frameworks that ensure regulatory compliance, uphold data integrity, and maintain high standards of data quality.
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