High quality data is essential for business analytics that supports decision making. Data quality is demonstrated through several key attributes, including:
- Completeness: All related data must be linked from all possible sources
- Accuracy: Data must be correct and consistent, with common data problems remediated, such as misspellings or abbreviations
- Availability: Data must be available upon demand
- Timeliness: Current data must be available
IBM Watson Knowledge Catalog offers end-to-end data quality capabilities for information governance across the enterprise. With it, organizations can cleanse, standardize and match data to ensure its quality and consistency that establishes trust and confidence in the information received.
IBM continues to be positioned as a Leader in the 2020 Gartner Data Quality Magic Quadrant for Data Quality Solutions. Register to read the Gartner report to learn more about IBM's offering.
Interested in more information? Visit our Data Quality page.
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Gartner, Magic Quadrant for Data Quality Solutions, 27 July 2020, Melody Chien, Ankush Jain