Your team owns the build.
Learn through courses, practical training and workshops. Get feedback as you apply the lessons to your own project.
Explore courses and workshops ↗Prepare likely duplicate records for careful review using explicit identity evidence.
Similar names or addresses can represent different people or businesses, while the same entity may appear under several valid names.
Help data stewards investigate candidates without making destructive automatic merges.
A data owner approves a duplicate review for a defined record type.
Suggest candidate groups with the evidence for and against a match.
A data steward verifies identity and approves any merge, including which history and relationships must survive.
Never merge solely on a name similarity score. Protect personal information and preserve distinct legal entities.
Measure false matches, missed duplicates, lost relationships and review effort.
Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.
Read the implementation guide ↗The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Learn through courses, practical training and workshops. Get feedback as you apply the lessons to your own project.
Explore courses and workshops ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Prepare a review queue for data-quality issues with clear ownership, source evidence and downstream context.
Explore this solution ↗Looking for a course, help with a difficult problem, or someone to build a solution? Tell us where you are and what you'd like to do next.