Data Governance

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Data governance is about how an organization makes decisions around its data. It sets clear rules for who owns data, who can use it, and under what conditions. With these rules in place, teams can rely on data that is well defined, protected, and used consistently instead of being copied or misinterpreted.

This becomes especially important as more people and systems depend on the same datasets. Data governance helps prevent confusion, supports legal and regulatory requirements, and reduces the risk of misuse or accidental exposure. In AI work, it plays a direct role in model outcomes, since training data quality shapes model behavior. Strong governance also makes it easier to track where data came from and scale machine learning efforts without losing visibility or control over sensitive information.

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