Using Information Arbitration to Integrate and Interpret Data with Inconsistencies

A common challenge in the Consumer Data Industry is how to integrate data with inconsistencies from multiple sources into a single consolidated view. For example, a credit bureau needs to integrate consumer credit history reported by multiple credit lending institutions. Over the past few years, a novel approach, information arbitration, has emerged to produce full attribution, reversible, and sequence neutral integrations.