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2019 Gartner Magic Quadrant for Data Quality Tools

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

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation.
Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose


2019 Gartner Magic Quadrant for Data Quality Tools

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

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation.
Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose


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