ID Number: G00218107



Customers Rate Their Data Quality Vendors on Product Functions
25 January 2012
 
Ted Friedman   Andreas Bitterer  

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.




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Pages: 28











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Table of Contents

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
Tables
Table 1.
Percentage of Respondents Running the Latest Version Versus Older Versions
Figures
Figure 1.
Importance of 15 Factors in Selecting Data Quality Tools
Figure 2.
Satisfaction With 18 Data Quality Production Functions
Figure 3.
User Satisfaction With Address Standardization and Validation
Figure 4.
User Satisfaction With Parsing, Standardization and General Cleansing
Figure 5.
User Satisfaction With Matching
Figure 6.
User Satisfaction With Batch Processing
Figure 7.
User Satisfaction With Support for Customer or Party Data
Figure 8.
User Satisfaction With Real-Time Processing
Figure 9.
User Satisfaction With Data Profiling
Figure 10.
User Satisfaction With Entity Resolution
Figure 11.
User Satisfaction With Data Quality Workflow
Figure 12.
User Satisfaction With Location or Spatial Data Enrichment
Figure 13.
User Satisfaction With Support for Product or Materials Data
Figure 14.
User Satisfaction With Integration With Related Technologies
Figure 15.
User Satisfaction With Support for Location or Facility Data
Figure 16.
User Satisfaction With International Support
Figure 17.
User Satisfaction With Monitoring
Figure 18.
User Satisfaction With Support for Financial or Quantitative Data
Figure 19.
User Satisfaction With Data Quality Visualization
Figure 20.
Size of Enterprises Represented in Data Quality Survey
Figure 21.
Industries Represented in Data Quality Survey
Figure 22.
Annual Spending on Data Quality




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Resource Id: 1904614