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Navigating the Labyrinth: An Executive Guide to Data Management by Laura Sebastian-Coleman for DAMA International

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Chapter 11 Data Quality Management

Effective data management involves a set of interrelated processes that enable an organization to use its data to achieve strategic goals. Data management includes the ability to design data for applications, store and access it securely, share it appropriately, and learn from it to meet strategic and operational objectives. Organizations that are trying to get value from their data need to know that their data is reliable and trustworthy. In other words, that their data is of high quality. But many factors can undermine data quality:

  • Lack of understanding about the effects of poor quality data on organizational success
  • Bad or insufficient planning
  • Isolated design of processes and systems (‘silos’)
  • Inconsistent ...

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