Published: 14 May 2019
Summary
Data quality tools have received broader adoption in use cases such as information governance and analytics, fueled by features like automation, machine learning, business-centric workflows and usability. Data and analytics leaders should select the right tools to future-proof their requirements.
Included in Full Research
- Critical Capabilities Use-Case Graphics
- Vendors
- Ataccama
- BackOffice Associates
- Experian
- IBM
- Informatica
- Information Builders
- Innovative Systems
- MIOsoft
- Oracle
- Pitney Bowes
- 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
- Critical Capabilities Rating