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 Information Server 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.
For the past decade, IBM has been positioned as a Leader in Gartner's Data Quality Magic Quadrant, and the 2019 report continues this trend. Read the Gartner report to learn more about IBM's offering.
Interested in more information? Visit our Data Quality page
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