For most entity resolution matching engines on the market (or built in-house), explaining why, why not and how decisions were made is incredibly difficult or impossible. Yet, if you don’t have visibility into how decisions are made, it’s hard to trust your entity resolution system’s results and difficult to feel comfortable making important decisions based on those results and difficult to comply with audits.
In the real world, business users, data scientists and auditors will want to know why records matched or didn’t, as well as details of how decisions were made. For example, regulators and other compliance auditors may require you to explain why specific matches were made or why you approved or denied a transaction.
