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Gartner Research
Critical Capabilities for Data Quality Solutions
Summary
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
Overview
Strategic Planning Assumptions
What You Need to Know
Analysis
- 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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