Data Quality
Data Quality
Data Quality
Data can only deliver business value if it can be trusted. That starts with good data quality, in the right context, for the right purpose, and for the right people/process.
Once the high-value business data is prioritized, how do we know they are clean?
(6 Dimensions of Data Quality)
- Accuracy – Whether the data is correct and reliable.
- Completeness – Whether the data meets users' expectations.
- Consistency – Whether data stored in one place matches data stored elsewhere.
- Timeliness – Whether data is available when users need it.
- Validity – Whether data is in the correct format, follows business rules, and is usable.
- Uniqueness – Whether records in a dataset are not duplicated.
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