Data alone won’t bring revenue — but smart strategies will. At Intellias, we demystify data monetization to help you find new sources of value from data. Our proven data monetization services ensure your practical insights don’t sit idle. We help you overcome technical challenges by translating your data into accessible, platform-agnostic analytics solutions that support business performance and create real customer value.
Whether through directly selling data, generating insights or embedding advanced analytics into your systems, we will find ways to capitalize on your data resources.
As data volumes grow, so do opportunities to generate revenue. Intellias helps businesses transform raw, aggregated or alternative data into high-value products and services. With deep industry expertise and proven data monetization strategies, we turn data from a commodity into fuel for economic growth.
We guide you through the entire data monetization journey, from mapping data to identifying high-impact use cases. Our experts help you define the right data product mix with tailored pricing models while defining a secure strategy that mitigates legal, reputational and competitive risks.
Unlike traditional assets, data can be monetized repeatedly across different markets and industries. As a data monetization company, we help you build a scalable sales approach, collaborating with global data marketplaces and white-label platforms to industrialize data exchange and expand revenue streams.
Our advanced infrastructure enables secure, efficient data exchange at scale through multi-modal data monetization architecture, pipelines, API frameworks and standardized protocols. Our technology stack ensures enterprise-grade security, flexible data transformation and automated quality control for sustainable growth in the data economy.
We deliver full-scale solutions for indirect data monetization models that help clients maximize value from their internal data stores while boosting operational efficiency, customer satisfaction and revenue generation.
Use your existing data to make practical decisions that will optimize your business processes and the quality of your customer relations.
Integrate predictive approaches and automated functions to improve customer satisfaction rates and customer retention patterns.
Boost ROI by modernizing marketing and sales operations with advanced data analytics.
Rationalize internal cross-company operations with intelligent automation and optimization tools.
Integrate modern technologies into your existing system architecture to make the most of your data.
Analyzing the data landscape and identifying storage inefficiencies and potential risks to further transform data from a liability to a manageable asset
Creating an initial Proof of Value (POV) around a portfolio of validated use cases to build organizational support for data monetization efforts
Implementing data monetization strategies, including building data products and analytical models and integrating data-driven insights into business processes
Scaling data products and AI-powered analytics business-wide and across multiple use cases, creating a ripple effect of value
A full suite of data monetization services, from data strategy to implementation and ongoing management
Scalable, cost-effective data solutions with integrated DevOps, built on AWS, Azure and Google Cloud
Cross-sector expertise and proven frameworks for retail, financial services, automotive, healthcare, iGaming and other industries
Built-in compliance focused on data privacy and security to ensure data monetization programs meet global and local regulations
3k+
experts
170+
cloud-certified technologists
23
years of digital consulting and engineering
100+
completed data projects
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.
Get in touch with us. We'd love to hear from you.
