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Managing Data Quality

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Historic or legacy interventions can have created many data issues that are unlikely to be corrected. Such interventions include, for example, poorly defined and governed business processes, poor quality data migrations or bulk updates to data that have resulted in data corruptions.

Summary

Data flow across organisations and become of interest to many different processes, individuals and teams.

Technology is only a tool to help deliver effective data quality management, and cannot achieve this on its own.

Data have specific fundamental features that demand careful consideration.

The next chapter explains how people are at the heart of the data quality story in any organisation.