
Data management should also include:
- Cleansing the data to reduce errors
- Normalizing it so that aggregated information may be used for reporting, analytics, and better decision-making
- Governance for compliance with regulated industry and data privacy laws, and to ensure authorized access
- An audit trail of changes made to the data and which systems are using it



