What You’ll Learn
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 MDM approaches, and for teams that need identity answers their downstream platforms can trust.
- 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