Key Elements for a Successful Data Governance Program
First of all, implementing a Data Governance program requires a commitment to change.
Secondly, Data Governance is not a project with a defined end; it is an ongoing process that requires organizational commitment.
Sustainable Practices
Moreover, in order to be Successful, it must be:
- Sustainable: The Data Governance program should be ‘sticky’. Data Governance necessitates changes in how data is managed and used. This does not always mean massive new organizations and upheaval. It does mean managing change in a way that is sustainable beyond the initial implementation of any data governance component. Sustainable data governance depends on business leadership, sponsorship, and ownership.
Integrating Data Governance into Business Processes
- Embedded: Data Governance is not an add-on process. Data Governance activities need to be incorporated into development methods for software, the use of data for analytics, the management of Master Data, and risk management.
Measuring Data Governance ROI and Outcomes
- Measured: Data Governance done well has a positive financial impact, but demonstrating this impact requires understanding the starting point and planning for measurable improvement.
You might be Interested in Reading of:
- Data Governance Program – Scope
- Build the Data Management Organization
- Data Quality Program – Implementation Guidelines
- Data Governance – How to Set a Strong Foundation?
- Data Governance Readiness Assessment
- How to Measure the Value of Data?
- Data Governance – Core Benefits
- RDM – Reference Data Management
- Data Governance Program – Success Criteria
