Gartner Research

Critical Capabilities for Data Quality Solutions

Summary

Data quality solutions continue to mature through the addition of more augmented capabilities than before, driven by growing needs in existing and new use cases. This research will help data and analytics leaders to evaluate 17 such solutions based on nine core capabilities across seven use cases.

Published: 03 August 2020

ID: G00407171

Analyst(s): Ankush Jain Melody Chien

Table Of Contents

What You Need to Know

Analysis

  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Ataccama
    • Experian
    • IBM
    • Infogix
    • Informatica
    • Information Builders
    • Innovative Systems
    • Melissa Data
    • MIOsoft
    • Oracle
    • Precisely (Spectrum Quality)
    • Precisely (Trillium)
    • Redpoint
    • SAP
    • SAS
    • Syniti
    • Talend
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Profiling
    • Parsing, Standardizing & Cleansing
    • Interactive Visualization/Analytics
    • Matching, Linking and Merging
    • Multidata Domain Support
    • Business-Driven Workflow
    • Scalability and Performance
    • Role-Based Usability
    • Rule Engine and Data Validation
  • Use Cases
    • AI and Machine Learning
    • Analytics and BI
    • Data Integration
    • Data Migration
    • D&A Governance Initiatives
    • Master Data Management
    • Operational/Transactional Data Quality
  • Vendors Added and Dropped
    • Added
    • Dropped

Inclusion Criteria

  • Critical Capabilities Rating

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