3 Data Quality Maturity

Chapter outline

  • 3.1 The Data Quality Strategy 35
  • 3.2 A Data Quality Framework 38
  • 3.3 A Data Quality Capability/Maturity Model 42
  • 3.4 Mapping Framework Components to the Maturity Model 44
  • 3.5 Summary 49

What does organizational maturity mean in the context of good data management practices? From a holistic standpoint, the differences in organizational maturity for data quality are gauged by the sophistication of the processes in place for managing the identification of flawed data as well as the levels of capability of those tasked with managing data quality. Most organizations are reactive when it comes to resolving issues, meaning that problems are addressed at the time that the impacts have manifested themselves, ...

Get The Practitioner's Guide to Data Quality Improvement now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.