Establish data, information, and analytic governance

Trigger: An organizational mandate requires standardized control, security, and quality standards for enterprise data and analytics.

1. Assess current data architecture and identify governance gaps
2. Define data domains, definitions, and ownership structures
3. Establish data quality standards and usage policies
4. Implement an operating model for data stewardship and issue resolution
5. Deploy governance tools for data catalogs, lineage, and access control
6. Communicate guidelines and train employees on data compliance
7. Monitor governance adoption and enforce policy compliance

Outcome: A formalized governance framework is implemented, complete with data stewards, defined policies, and quality tracking mechanisms.