Most matching engines can only compare an organization’s records against themselves, so their accuracy is capped by the quality of the data they are handed. This video explains a different approach and what it unlocks. It is a fit for data and IT leaders comparing identity resolution and master data management (MDM) approaches, and for teams that need identity answers their downstream platforms can trust.
You’ll learn:
- Why traditional matching hits an accuracy ceiling on incomplete or messy data
- How referential matching resolves identities that algorithms alone miss
- What up to 98% out-of-the-box accuracy means in practice
- How trusted identity flows into the analytics and engagement platforms you already run
- What to evaluate when comparing identity resolution vendors