After 15 years of helping organizations better manage their data, I share my field experience. No theory - just practical insights.
Data governance is often presented in a theoretical and technical way. This blog starts from concrete problems - the ones you experience daily - and offers solutions based on the CQSEV framework.
Each article covers the 3 components: governance (the rules), management (the field), and transformation (automated systems).
Each article is written to be understood by everyone - from the CEO to the clerk. Technical terms are always explained using everyday analogies.
Data is everywhere. But if it's not reliable, it might as well be nowhere. This guide explains the real definition of quality, the 8 dimensions to measure, and where to start - no jargon.
Oleg Chitic
· 12 min
Data governance sounds complicated. In reality, it's as simple as properly organizing a library. The basics explained without jargon, the 4 essential tools, and the 5 questions to ask yourself.
Oleg Chitic
· 7 min
Data governance is no longer a luxury. With Law 25, GDPR, and AI, it's a legal obligation. This guide covers the fundamentals, key roles, 7 mistakes to avoid, and a pragmatic 5-step method - all explained simply.
Oleg Chitic
· 12 min
70% of data initiatives fail. Not because of technology. The rules are written but no one applies them. Here is how to connect the three components to make your data reliable - with concrete analogies.
Oleg Chitic
· 8 min
Concrete topics, explained simply, to help you better govern your data.
Discover the CQSEV framework - 5 axes × 3 components to make your data reliable. Free diagnostic grid.