Gartner Research

Critical Capabilities for Data Quality Tools

Published: 18 December 2015

ID: G00275753

Analyst(s): Saul Judah , Ted Friedman

Summary

Data quality tools are important in a wide range of use cases and providers in this market exhibit varying strengths across the functionalities critical to these use cases. Information leaders need to understand their 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
    • BackOffice Associates
    • DataMentors
    • Experian
    • IBM
    • Informatica
    • Information Builders
    • Innovative Systems
    • MIOsoft
    • Neopost
    • Oracle
    • Pitney Bowes
    • RedPoint
    • SAP
    • SAS
    • Talend
    • Trillium Software
    • Uniserv
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Matching, Linking & Merging
    • Multidomain Support
    • Parsing, Standardizing & Cleansing
    • Profiling
    • Scalability & Performance
    • Usability
    • Visualization
    • Workflow
  • Use Cases
    • Big Data & Analytics
    • Data Integration
    • Data Migration
    • Information Governance Initiatives
    • Master Data Management
    • Operational/Transactional Data Quality
  • Vendors Added and Dropped

Inclusion Criteria

  • Critical Capabilities Rating

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