Matching data for any type of entity
It’s not just customer or personal data that organizations need to resolve, it’s data for any type of entity: party, household, business, asset, product, part, location, etc. Because data is a shared asset, suspect data permeates across the organization, derailing important IT initiatives such as enterprise resource planning (ERP), supply chain management (SCM), master data management (MDM), as well as downstream initiatives such as predictive analytics.
Commonly, this data originates from many different and varied sources (including mergers and acquisitions), the integration rules for the data are often complex to deduce and volatile over time and sources, and issues propagate and procreate across systems and business processes. The configurability of Trillium DQ means that organizations can apply relevant data matching rules to create a single, comprehensive, correct record for each unique entity, whether household, asset, product, part, location, or otherwise.
See our solution sheet Overhaul and Govern Product Data to understand how Trillium DQ can be leveraged to solve any type of data matching problem.