Self-assessment

Data Management Maturity Framework

The path from data chaos to AI-driven excellence

Your roadmap towards data capabilities

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

Organizational Diagram Xebia

  • 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.