Over the past few years I’ve talked quite a bit about collaborative governance (or governance 2.0). I’m starting to see this more often in organizations as ways to improve communications, measurement, solution techniques and accountability. The conceptual architecture of a system to support this approach is shown below:

Illustrative User Story: Data management change control
The user in this case are reporting analysts responsible for developing and running crucial analysis for the capital markets group.
In the current environment, users of downstream analytical and reporting systems often face issues due to changes in upstream systems of record In the new environment, better communications and use of the metadata repository will have help prevent data change control issues.

1. Once an issue is found, data stewards communicate with the business and technical teams to resolve it. Communications are available in a discussion system for others to find.

2. Clear business reporting makes it easy for data stewards and business leaders to see when issues have occurred and their impacts

3. The Data Quality system flags the error, which triggers a workflow request for a Data Stewardship process

4. Responsible data stewards receive the notification and address the issue

5., Issues are logged in a defect management system and is tracked by data stewards