It’s not just customer or personal data that organizations need to deduplicate and resolve, it’s data for any type of entity: party, household, business, asset, product, part, location, etc. This data permeates across the organization and duplicates can derail important IT initiatives such as enterprise resource planning (ERP), supply chain management (SCM), master data management (MDM), or downstream initiatives such as predictive analytics.
This data can originate from many different and varied sources (including mergers and acquisitions), and upfront data cleansing is often needed to ensure it is deduplicated and matched correctly. The configurability of Trillium DQ, including 40 distinct matching algorithms, means that organizations can apply relevant deduplication and matching rules to create a single, comprehensive record for each unique set of data, regardless of whether it’s a person, place, or other entity.