Data matching is a core part of most automated data quality implementations as duplicates in master data is the single most frequent data quality issue around. In this web seminar seasoned data quality expert Henrik Liliendahl Sørensen will reveal some of the techniques used in data matching including how to use external reference data in data matching and how to most effectively combine computerized approaches and manual verification. The web seminar also discusses different data matching goals, such as de-duplication, identity resolution and master data hierarchy building.
