The Data Management Maturity Framework provides organizations with a structured path to evaluate and enhance their data capabilities across five progressive levels, from ad hoc practices to strategic optimization.
By systematically assessing key dimensions like governance, architecture, and strategic alignment, the framework reveals both immediate improvement opportunities and long-term transformation priorities. This assessment enables leadership teams to make targeted investments in data capabilities.
Five Steps of Data Management Maturity
Initial and Ad Hoc Data management is ad hoc, unstructured, and project-specific, with no long-term strategy or governance.
Developing but Fragmented Awareness of data management needs is growing, but implementation remains siloed.
Defined and Repeatable Management actively supports data initiatives with increasing coordination across departments.
Managed and Integrated Standardized and integrated data management practices across multiple domains or business units are in place.
Optimized at Enterprise level Data is a strategic enterprise asset, fully optimized and controlled, and continuously improved for innovation and value creation.
Data Management Self-Assessment
Indicate your maturity level across all the aspects of DM Maturity and receive an insight into the estimated maturity level of your organization.