What is Data Governance
Rules, roles and processes that define how data is collected, stored, used and controlled.
Definition
Data Governance refers to the rules, roles, and processes that define how data is collected, stored, used, and controlled. Simply put, this concept helps you work with data as the basis for analytics, recommendations, and models. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The company assigns data owners, describes access and introduces quality checks before training models.
Why it matters
Data management makes AI projects repeatable, secure and understandable for business. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
Data is collected, cleaned, described, transformed and analyzed to produce a robust conclusion or prepare a model. In the case of the term “Data Management”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- Used in analytics, data preparation, pattern finding, reporting, forecasting and model building.
Limitations
Even careful analysis can be flawed if the data is biased, outdated, poorly cleaned, or misinterpreted.