Critical Capabilities for Data Quality Tools

Archived Published: 18 February 2015 ID: G00261663

Analyst(s): Ted Friedman | Saul Judah

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Summary

Data quality tools are important in a wide range of use cases, and providers in the data quality tools market exhibit varying strength across the functionality critical to these use cases. Buyers need to understand the relative strengths to make optimal selections of vendors and tools.

What You Need to Know
Analysis
- Critical Capabilities Use-Case Graphics
- Vendors
  - Ataccama
  - DataMentors
  - Experian
  - IBM
  - Informatica
  - Information Builders
  - Innovative Systems
  - MIOsoft
  - Neopost
  - Oracle
  - Pitney Bowes
  - RedPoint
  - SAP
  - SAS
  - Talend
  - Trillium Software
  - Uniserv
  - X88 Software
- Context
- Product/Service Class Definition
- Critical Capabilities Definition
  - Profiling
  - Parsing, Standardizing & Cleansing
  - Visualization
  - Matching, Linking & Merging
  - Multidomain Support
  - Workflow
  - Scalability & Performance
- Use Cases
  - Master Data Management
  - Operational/Transactional Data Quality
  - Information Governance Initiatives
  - Data Integration
  - Data Migration
  - Big Data
- Vendors Added and Dropped
Inclusion Criteria
- Critical Capabilities Rating
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Critical Capabilities for Data Quality Tools

Analyst(s): Ted Friedman | Saul Judah

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