In an effort to define the future of debt collection, a company specializing in the accounts receivable management business, CBE Group, has latched onto the services of SAS—a major player in business analytics software.
According to a company press release, SAS (News - Alert) will provide CBE with the analytic tools that drive the performance of its clients to achieve its ultimate goal of providing principal collection results from a data rich environment.
Debt collection and technology have come into the spotlight most recently as the Federal Trade Commission announced an upcoming forum on April 28 to discuss the hardware and software that impacts collectors’ efforts to comply with relevant laws and related consumer protection.
Focusing less on the consumer side of the matter and more on that of the collectors, the business analytics software to be implemented by CBE for its debt collection practices include SAS Analytics Pro and SAS Enterprise Miner, that will deliver the company’s desired “best in class collection performance” by developing proprietary scoring models, segmentation strategies, work treatments and reporting models specific to industry.
“SAS will help CBE capitalize and manage the wealth of real-time and historical data to create an information-rich environment to set the standard for debt collection through the development and delivery of innovative solutions for our current and future clients,” said Chad Benson, senior vice president, operations at CBE Group (CBE).
CBE plans for SAS Analytics to help its clients with improved collection outcomes by assisting with the development of account-level decision and treatment strategies. An additional benefit of SAS Analytics Pro is its function space is on the desktop, eliminating the need for resource-intensive IT support.
Benson said, “SAS can process large amounts of data and offer flexible data manipulation – both of which help solve critical business and decision making needs across our company. As our analytics team has grown to more than 20 analysts strong, our ability to efficiently analyze data and perform more complex analyses makes SAS the perfect fit.”
The SVP of operations also added that the company’s choice to upgrade its infrastructure with SAS will further benefit its clients using real-time decision making and advanced, predictive analytics to provide immediate time savings for analyst communities.
“By delving into large amounts of data, creating unique models and increasing our understanding of business and relationship drivers, we will produce greater value for our clients and a solid return for CBE,” Benson said.
SAS Enterprise Miner also includes SAS Rapid Predictive Modeler, allowing business analysts with basic statistical skills to automatically generate predictive models quickly—enabling the company to act fast.
Janice McDuffee has worked in marketing, editing and freelance writing for companies including SheKnows and HBM Inc. after receiving her master's and bachelor's degrees in journalism from the University of Illinois Urbana-Champaign. To read more of her articles, please visit her columnist page.Edited by
Patrick Barnard
