SAS® Analytics Drives New Efficiencies in Collections at CBE Group
From its early roots in 1933, CBE Group has evolved into a national leader in accounts-receivable management. Today, the company is defining the future of debt collection by embracing a powerful combination: an innovative analytical infrastructure and an organizationwide commitment to ethical and professional interactions with consumers. The result: efficient operations and superior results from a data-rich environment and stronger brand reputations for its clients.
The Analytics Solutions Group (ASG) is the heart of the company's initiative to improve business insights using SAS technologies for a variety of tasks and projects, including data manipulation and statistical model building. Each day, CBE receives high-volume data updates to huge client databases that store client information about consumers and debt statuses. That data can be unorganized, unformatted, redundant and sporadic, requiring reformatting and transformation into structured data sets for analysis – a process that was previously cumbersome and time-consuming.
Seeing All Areas of the Business
According to CBE analyst, Shane Roberts, the value from SAS is extensive. "SAS is becoming an invaluable tool for data manipulation and data mining," he said. "For the databases we're analyzing – which are quite large – SAS is essential for us to drill down on each client and measure performance and create granular reports. SAS provides reporting and dashboard capabilities that we've never had before – whether it's inventory management, payment statistics, or dialer performance. Now we can easily and quickly see what's happening in all corners of our business."
Optimizing Profitability and Efficiency
The team has turned to SAS Analytics Pro and SAS® Enterprise Miner™ to create the sophisticated predictive models for each client group that identify the best candidates for debt collection. These well-developed models help CBE understand how certain consumer characteristics and variables can influence their ability to make payments. Assumptions and distributions in many CBE models will change over time, making it necessary to constantly monitor and adjust models to maintain or improve their efficacy. Analysts in ASG use SAS to monitor the applicability and performance of their models by creating distribution charts for all variables to detect possible population changes with each new wave of inventory (accounts) received. This SAS routine, which CBE calls its Model Distribution Program, combines data manipulation and data analysis to transform raw new inventory data into the desired format, append it to the base data set, and then compare the variable distributions for different inventory periods through histograms and Pareto charts. Instantly, the ASG analysts can see if modifications are needed in their models.
Exploring the Data
"SAS is helping CBE capitalize on and manage the wealth of real-time and historical data to create an information-driven business that sets the standard for debt collection," said Chad Benson, Chief Operating Officer for CBE. "SAS processes large amounts of data and offers 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. SAS will further benefit our clients as we move into real-time decision making and begin using advanced predictive analytics capabilities, like neural networks, to drive our collection efforts into the future."
The results illustrated in this article are specific to the particular situations, business models, data input, and computing environments described herein. Each SAS customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software. Brand and product names are trademarks of their respective companies.
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One of the nation's premier providers of accounts-receivable management and debt collection services needed smarter ways to manage daily updates to large, disparate data sets. It also wanted to mine, explore, and analyze its data to optimize its collection efficiency for its clients, as well as company profitability.
SAS has enabled the company's Analytics Solutions Group (ASG) to target accounts with an optimal combination of high probability of recovery and high value. In addition, SAS helps analysts constantly evaluate the characteristics of daily data updates to determine if their predictive models need adjustments.
“"SAS is helping CBE capitalize on and manage the wealth of real-time and historical data to create an information-driven business that sets the standard for debt collection."”
Chief Operating Officer