Critical Capabilities for Data Quality Tools


Archived Published: 18 February 2015 ID: G00261663

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Summary

Data quality tools are important in a wide range of use cases, and providers in the data quality tools market exhibit varying strength across the functionality critical to these use cases. Buyers need to understand the relative strengths to make optimal selections of vendors and tools.

Table of Contents

  • What You Need to Know
  • Analysis
    • Critical Capabilities Use-Case Graphics
    • Vendors
      • Ataccama
      • DataMentors
      • Experian
      • IBM
      • Informatica
      • Information Builders
      • Innovative Systems
      • MIOsoft
      • Neopost
      • Oracle
      • Pitney Bowes
      • RedPoint
      • SAP
      • SAS
      • Talend
      • Trillium Software
      • Uniserv
      • X88 Software
    • Context
    • Product/Service Class Definition
    • Critical Capabilities Definition
      • Profiling
      • Parsing, Standardizing & Cleansing
      • Visualization
      • Matching, Linking & Merging
      • Multidomain Support
      • Workflow
      • Scalability & Performance
    • Use Cases
      • Master Data Management
      • Operational/Transactional Data Quality
      • Information Governance Initiatives
      • Data Integration
      • Data Migration
      • Big Data
    • Vendors Added and Dropped
  • Inclusion Criteria
    • Critical Capabilities Rating
  • Gartner Recommended Reading
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