Precisely Data Matching and Entity Resolution

What Precisely Data Matching and Entity Resolution is

Precisely Data Matching and Entity Resolution helps organizations link records that describe the same real-world entity, creating a consolidated view of customers, suppliers, assets, and other records. Configurable matching and AI/ML are designed to let business users resolve large, complex datasets with less reliance on IT. Data preparation can include profiling, business rules, and enrichment with demographic, firmographic, and location intelligence. The supported entity types include people, households, businesses, suppliers, assets, products, parts, and locations; batch file import, household matching, and organization matching are listed capabilities. Spectrum Quality offers phonetic, distance-based, and country-specific algorithms for B2B and B2C names across more than 200 countries. The solution is described for on-premises and cloud environments, with Linux, Windows, web, and self-hosted platforms listed. Use cases include customer 360, anti-money laundering, and fraud detection. Precisely reports that Schwan’s experienced a 25% decrease in new customer duplicate data. Pricing is available on request.