Case Study: CBE Group achieves smarter data management and improved debt-collection efficiency with SAS

A SAS Case Study

Preview of the CBE Group Case Study

Finding a smarter way to manage large data sets

CBE Group, a national leader in accounts-receivable management, struggled with daily high-volume, disparate and often unformatted client data that made reformatting and analysis cumbersome. The company needed smarter ways to unify and mine that data to improve collection efficiency, agent performance and overall profitability while protecting client reputations.

The Analytics Solutions Group implemented SAS Analytics Pro, SAS Enterprise Miner, SAS Visual Data Discovery and JMP to aggregate and transform incoming inventory, build predictive models, run a Model Distribution Program to monitor variable shifts, and create dashboards and agent-performance metrics. The changes cut data-prep time, freed analysts to do deeper exploration, enabled better-targeted account prioritization for higher recovery at lower cost, and made it easy to monitor and adjust models to sustain results.


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CBE Group

Chad Benson

Chief Operating Officer


SAS

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