Customers Rate Their Data Quality Vendors on Product Functions


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Gartner's survey of data quality tools users have found varying satisfaction with 18 functions of data quality tools. Choosing the right product requires looking at satisfaction ratings for individual functions.

Table of Contents

  • Analysis
    • Summary of Findings and Recommendations
      • Recommendations
    • User Satisfaction With 18 Functions of Data Quality Tools
      • Address Standardization and Validation
      • Parsing, Standardization and General Cleansing
      • Matching
      • Batch Processing
      • Support for Customer or Party Data
      • Real-Time Processing
      • Data Profiling
      • Entity Resolution
      • Data Quality Workflow
      • Location or Spatial Data Enrichment
      • Support for Product or Materials Data
      • Integration With Related Technologies
      • Support for Location or Facility Data
      • International Support
      • Monitoring
      • Support for Financial or Quantitative Data
      • Data Quality Visualization
      • Support for Software as a Service and Cloud Deployments
    • Survey Demographics
  • Recommended Reading
© 2012 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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