Take the guesswork out of your data management
We will design an actionable roadmap for implementing a system of standards and metrics that gives you real-time visibility into your data processes and complete control over your data assets. This is how we ensure that your data is accurate, secure, high-quality, and easily accessible by those who need it.
Build a comprehensive data governance framework to maximize insights and experience business growth.
Our data governance consulting services
Data governance integration
We design and implement an all-encompassing data governance framework that matches your existing infrastructure and processes.
- Discovery and assessment
- Roadmap design
- Policy enforcement
Master data management
Our data governance strategy establishes a single source of truth for your core enterprise data by defining rules, procedures, and a common glossary.
- Single source of truth
- Data integration
- Data reconciliation and enrichment
Data quality assurance
Our data governance consultants help you implement technologies that monitor, assess, and improve the quality of data across the entire organization.
- Data profiling
- Definition of critical data
- Definition of data quality metrics
Data privacy and compliance
Within the scope of our data governance and compliance services, we implement data privacy policies to ensure compliance with data protection requirements.
- Data administration
- Compliance audits
- Alignment with regulatory frameworks (GDPR, HIPAA)
Metadata management
We design strategies that enable effective gathering and management of your business metadata, which defines your core informational assets.
- Data cataloging
- Data lineage
- Data tagging
Data stewardship
We help you implement practices that establish the accessibility and trustworthiness of your data and define ownership of your assets.
- Data ownership
- Data accountability
- Data ethics
Take control of your data.
Data Governance as a Service
You don’t necessarily need to invest in your own data governance software and integrations. We can provide them for you through Data Governance as a Service (DGaaS), taking over the implementation of custom data governance frameworks that enable ongoing management, monitoring, and enforcement of data governance policies. Our DGaaS solutions include automated reporting, data lineage tracking, and data governance health checks.
Focus on your core business and let us make sure your data is safe, compliant, and accessible.
Leading technology providers are our partners
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.
Ecosystem partnerships
Clients appreciate us
The Intellias team has played a crucial role in automating and enhancing the process of data collection and analysis. The engineers at Intellias helped us create a user-friendly, highly stable and secure product – and reduce the decision-making time from several days to a few minutes.
Intellias has serious technical capability and really understands how to build things well and efficiently. But more importantly, they can join the dots between technology and business value.
We put lot of eggs into their basket, and it was the right decision because they’re doing things right.
Our experts
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.
Our insights and perspectives
Blog post
Why the World Is Now Investing in Data Capabilities – It’s not Just About AI
Case study
Setting the Standards: Data Governance Platform to Streamline Financial Institution Operations
Blog post
A Fresh Look at Best Practices in Data Governance for Banking
Blog post
From Data Silos to Unified Insights – The Future of Data Governance in Telecom
FAQ
Common challenges include unclear ownership, inconsistent data definitions across departments, and low buy-in from business users. Another trap is trying to implement everything at once. A phased, use-case-driven approach usually works best for enterprise data governance initiatives.
Early results, like improved reporting accuracy and reduced compliance risks, are often visible in 3–6 months. Larger benefits, such as consistent enterprise-wide data standards, better decision-making, and smoother AI adoption, may take 12–18 months depending on scope.
KPIs include higher data quality scores, reduced time spent fixing or preparing data, improved compliance audit outcomes, and lower risk exposure. Many organizations also track adoption metrics, for example how many teams actively use governed data assets in analytics and decision-making.
Strong governance ensures AI models are trained on accurate, unbiased, and compliant datasets. This process reduces the chance of biased predictions, regulatory violations, or reputational damage. With data governance services in place, AI initiatives become explainable, ethical, and aligned with business goals.
Data governance frameworks are designed to evolve. Regular audits and automated compliance monitoring help spot changes in GDPR, HIPAA, PCI DSS, or other regulations. Governance policies are then updated to keep data use compliant, without slowing down operations or innovation.