When it comes to making key business decisions, high-quality data is essential. Data quality is demonstrated through several 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 continues to be a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions. IBM Watson Knowledge Catalog offers end-to-end data quality capabilities for information governance across the enterprise. Organizations can cleanse, standardize and match data to ensure quality and consistency, establishing trust and confidence in business analytics.
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