Gartner Research

Critical Capabilities for Data Quality Solutions


The data quality solutions market continues to mature, with vendors trying to differentiate by making greater use of metadata and AI. This research helps data and analytics leaders assess 17 such solutions based on varying importance of nine critical capabilities across seven use cases.

Published: 11 October 2021

ID: G00734610

Analyst(s): Ankush Jain Melody Chien

Table Of Contents


Strategic Planning Assumptions

What You Need to Know


  • Ataccama
  • Datactics
  • Experian
  • IBM
  • Informatica
  • Innovative Systems
  • Melissa Data
  • MIOsoft
  • Precisely (Data360)
  • Precisely (Spectrum Quality)
  • Precisely (Trillium)
  • Redpoint
  • SAP
  • SAS
  • Syniti
  • Talend
  • TIBCO Software
  • Profiling
  • Parsing, Standardizing, Cleansing
  • Interactive Visualization/Analytics
  • Matching, Linking and Merging
  • Multidomain Support
  • Business-Driven Workflow
  • Scalability and Performance
  • Role-Based Usability
  • Rule Management and Data Validation
  • Analytics and Data Science
  • Data Integration
  • Data Migration
  • D&A Governance Initiatives
  • Master Data Management
  • Operational/Transactional Data Quality
  • AI and Machine Learning

Inclusion Criteria

Gartner Recommended Reading

Critical Capabilities Methodology

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