New Features
- 1. Added Insights & Recommendations™ to Data Quality Insights
- Introduced the new Insights & Recommendations™ panel within Data Quality Insights.
- Automatically analyses your datasets and identifies common data quality issues, including completeness, validity, formatting inconsistencies and statistical anomalies.
- Provides prioritised recommendations to help improve data quality before cleansing or matching.
- Learn more →
- 2. Added Match Explanation™ to MatchAI
- Introduced Match Explanation™, providing transparent, explainable AI for entity resolution.
- Users can now view how and why two records matched (or did not match), including confidence score badges and the reasoning behind every decision.
- Available within:MatchAI - All Matches
- MatchAI - Possible Duplicates
- MatchAI - Possibly Related
- Added a new setting allowing administrators to enable or disable Match Explanation processing depending on performance or auditing requirements.
- Learn more →
- 3. Added Golden Record Identity™ to MatchAI
- MatchAI now supports Golden Record Identity™, enabling persistent identities to be assigned to resolved entities.
- Golden Record IDs remain consistent across future matching runs, making it easier to track entities over time and support incremental data loads.
- Improves downstream integration with CRM, MDM, analytics and reporting systems.
- 4. Added "Master Records Only" View
- Added a new Master Records Only tab to:Match
- MatchAI
- Automation
- Allows users to quickly view only the surviving master records without displaying duplicate or related records.
- Simplifies exporting, reporting and creating trusted Golden Record datasets.
Improvements
- 5. Improved Excel Export
- Fixed an issue that could cause Excel exports to fail when exporting results from:Possible Duplicates
- Possibly Related
- Exporting large match result sets is now more reliable.
- 6. Enhanced MatchAI Execution Log
- Expanded the MatchAI execution log with significantly more diagnostic information.
- The log now provides greater visibility into each stage of the entity resolution process, making it easier to:Monitor processing progress
- Troubleshoot matching runs
- Understand processing times
- Support auditing and technical diagnostics
- 7. Improved Multi-Table Selection Experience
- Enhanced the table selection interface for MatchAI.
- Selected tables are now displayed using a green highlight for improved visibility.
- Added a new visual status icon indicating whether a table is included in the next processing run.
- Makes configuring multi-table matching projects clearer and reduces the chance of accidentally processing the wrong tables.
General
- This release focuses on improving explainability, usability and enterprise-scale entity resolution by introducing AI-powered data quality recommendations, transparent match explanations, persistent Golden Record identities and a more streamlined workflow for multi-table matching and master record management.