Critical Capabilities for Data Quality Tools


Published: 04 December 2017 ID: G00322724

Analyst(s): | |

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Summary

Market disruption caused by digital business sees new developments such as machine learning and predictive analytics emerging in data quality tools. Selecting the right tools is essential if data and analytics leaders are to exploit their business value in both traditional and emerging use cases.

Table of Contents

  • What You Need to Know
  • Analysis
    • Critical Capabilities Use-Case Graphics
    • Vendors
      • Ataccama
      • BackOffice Associates
      • Experian
      • IBM
      • Informatica
      • Information Builders
      • Innovative Systems
      • MIOsoft
      • Oracle
      • Pitney Bowes
      • Quadient
      • 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
  • Gartner Recommended Reading
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