Traditional businesses and digital-native companies alike face challenges such as fragmented data pipelines, poor data quality and a lack of collaboration between business and technical teams. Intellias establishes DataOps for the entire data lifecycle, helping clients accelerate decision-making, reduce costs and focus on innovation.
With built-in AI readiness, our DataOps encompasses governance at scale and real-time orchestration. It’s not just about pipelines and automation – it’s about building a culture of continuous improvement that allows you to get the most out of your data.
You need a clear roadmap to align your data strategy, data governance, data engineering and analytics. The Intellias DataOps framework is a holistic approach that takes you through a continual cycle of design, implementation, and feedback.
We assess your current data infrastructure and governance, and create a plan with clearly defined goals.
We build dream teams comprised of agile data engineers, data scientists, and business analysts that establish framework standards and automations for iterative development.
We implement real-time orchestration frameworks that include automations. We also integrate monitoring tools for optimal performance and continuous improvement.
Our DataOps processes are adaptive: they continuously incorporate feedback from users into agile cycles.
We set up automations and predictive monitoring to optimize your operations and ensure that your teams have access to self-service analytics. Our culture of continuous improvement helps you innovate.
We use DataOps to align and secure data processes that are critical for financial services. Instilling robust data governance frameworks and automating pipelines helps financial services companies and financial institutions manage their data efficiently.
Our DataOps solutions for healthcare and medical devices improve accessibility, security, connectivity, and data accuracy. We work on projects that integrate data from electronic health records, patient management systems, and other sources.
Using DataOps to eliminate data silos and increase collaboration, we improve supply chains and provide insights in real time to track shipments, manage inventory assets, and optimize transportation routes.
As the quantity of data that retailers handle grows exponentially, commercial vendors rely on Intellias to ensure that their data can be used effectively to optimize real-time inventory management, incorporate dynamic pricing strategies, and create a personalized shopping experience for customers.
We help telecom companies expand 5G networks, implement predictive maintenance, and ensure reliable network performance. We can handle industrial levels of data while delivering a highly personalized client experience.
Media companies handle particularly vast volumes of data. Our DataOps integration services focus on structuring pipelines and building automations that enable actionable insights and result in highly personalized content for an engaged and satisfied audience.
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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