Data governance refers to the management of the availability, security, usability, and integrity of data used in an enterprise. Data governance in an organization typically includes a governing council, a defined set of procedures, and a plan to execute those procedures.
Data governance is not about allowing access to a few privileged users; instead, it should allow broad groups of users access with appropriate controls. Business and IT users have different needs; business users need secure access to shared data and IT needs to set policies around security and business practices. When done right, data governance allows any user access to data anytime, so the organization can run more efficiently, and users can manage their workload in a self-service manner.
Here are four things to consider when developing a data governance strategy:
Selecting a Team:
- Balance IT and business leaders to get a broad view of the data and service needs
- Start small – choose a small group to review existing data analytics
- Audit existing data to discover data types and how they are used
- Define a process for new data sources to ensure quality and availability standards are met
- Make sure data is classified so data requiring protection for legal or regulatory reasons meets those requirements
- Implement policies that allow for different levels of access based on user privileges