Gartner Research

Critical Capabilities for Data Quality Tools

Published: 14 May 2019

ID: G00363494

Analyst(s): Melody Chien , Ankush Jain


Data quality tools have received broader adoption in use cases such as information governance and analytics, fueled by features like automation, machine learning, business-centric workflows and usability. Data and analytics leaders should select the right tools to future-proof their requirements.

Table Of Contents

What You Need to Know


  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Ataccama
    • BackOffice Associates
    • Experian
    • IBM
    • Informatica
    • Information Builders
    • Innovative Systems
    • MIOsoft
    • Oracle
    • Pitney Bowes
    • RedPoint Global
    • SAP
    • SAS
    • Syncsort
    • Talend
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Profiling
    • Parsing, Standardizing & Cleansing
    • Interactive Visualization
    • Matching, Linking & Merging
    • Multidomain Support
    • Business-Driven Workflow
    • Scalability/Performance
    • Business-Centric Usability
  • Use Cases
    • Big Data & Analytics
    • Data Integration
    • Data Migration
    • Information Governance
    • Master Data Management
    • Operational/Transactional Data Quality
  • Vendors Added and Dropped
    • Added
    • Dropped

Inclusion Criteria

  • Critical Capabilities Rating

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