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Data Governance

Data Governance

The definition of data governance includes the collection of processes, policies, roles, metrics, and standards that ensures an effective and efficient use of information. This also helps establish data management processes that keep your data secured, private, accurate, and usable throughout the data life cycle.

Accountability 

Across the organization, you’ll need team members to take control of your data—if no one takes that responsibility, then there’s no data governance. You and your IT team must implement ownership and responsibility. 

Rules and regulations

You’ll need standardized rules and regulations for everyone to follow—developed by your data governance team to implement and create criteria for all data usage.

Data administration

Selecting a dedicated data administrator, also known as a data steward, is key to enacting and ensuring the proper protection of your data governance.

Data quality

You’ll need high-quality, clean, and reliable data to make informed business decisions. To do this, your data steward will create a shared set of standards to improve data quality. 

Transparency 

All data governance processes need to be transparent as possible. Maintaining permanent records of all functions and steps ensures any future audits can determine data usage, what data was used, how you handled the data, and why your team used it.

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