The 7 most common data quality issues
Collibra
SEPTEMBER 9, 2022
Incomplete or inaccurate data, security problems, hidden data – the list is endless. Incorporate metadata to describe and enrich data in the context of who, what, where, why, when, and how. For example, an insurance service provider can work out the range of risk factor evaluation and include it in business rules.
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