- **Data Governance**: Set of policies, controls and disciplines for the effective management of corporate data assets - **Enterprise Data Modeling**: Provides a holistic view of the structure of data in a company - **Metadata Management**: Centralizes the information about the content of data - **Data Quality Management**: Automate processes to identify, fix and monitor data quality issues - **Master Data Management**: Create a consolidated and unified version of data ## When not to use Data Governance? - There is no executive sponsorship for a data governance program - People in some departments participate, and some don’t participate - Focus is on data that is not critical for analytics or business processes - Goal of the Data Governance program is to implement new technologies, and the data capabilities are already mature ## Stakeholders - **Business Personnel** Perform day-to-day operations of the business like sales, marketing..etc. - **Business SME** Business Subject Matter Expert in their respective business department - **Data Stewards** Responsible for Data Governance processes and activities - **Technical Architect** Responsible for the technical architecture and design of an IT system - **Technical Developers** Builds and maintains the technical components of an IT system