Published: 11 March 2025
Summary
Augmented data quality solutions use active metadata, AI and graph technologies to automate the detection, triaging and remediation of data quality issues at scale. This research will help data and analytics leaders evaluate the solutions’ critical capabilities for their data quality use cases.
Included in Full Research
Strategic Planning Assumptions
- Ab Initio
- Anomalo
- Ataccama
- CluedIn
- DQLabs
- Experian
- IBM
- Informatica
- Irion
- Precisely
- Qlik
- SAS
- Active Metadata Support
- Alerts, Notifications and Visual
- Data Transformations
- Matching, Linking and Merging
- Profiling and Monitoring/Detection
- Rule Discovery, Creation and Mgmt
- Unstructured Data Support
- Usability, Workflow and Issue Res
- Analytics, AI and Machine Learning
- Data Engineering
- Data and Analytics Governance
- Master Data Management
- Operational/Transactional Data Quality
Critical Capabilities Methodology