News & Events Standin Text
June 2007
SunGard announced that PredictiveMetrics (PMI), a leading provider of accounts receivable based predictive scoring using advanced statistical techniques, will integrate its Net30Score product into SunGard’s AvantGard Receivables solution. AvantGard Receivables helps credit and collections professionals to improve liquidity management by delivering solutions for operational control and visibility of treasury, receivables and payments operations. PredictiveMetrics’Net30Score predicts the likelihood that a customer will become severely delinquent,go to write-off, or file for bankruptcy within six months of the date the customer was scored. Net30Score will be integrated into the AvantGard Receivables solution to help customers to utilize statistical-based credit scoring as the basis for the development of risk based collection strategies.June 2007
Michael Banasiak, president of PredictiveMetrics, was interviewed for an article entitled "Knowing the Score on Productivity," that appeared in the June issue of Collections & Credit Risk Magazine. The article addressed that collection agencies are adopting the use of scoring models as a strategic and tactical tool to help them increase productivity while reducing costs. Michael discussed the importance of using scoring models to understand the profit margin of the portfolio and the cost to work the portfolio to develop the most profitable strategy for applying resources. He also discussed that its the detail around the debt that drives the models to help determine how to best work the account. For example, a medical provider information such as the type of procedure, when it took place and how many submissions the medical provider has made to the insurance agency is important to helping agencies determine how aggressively to work the medical debt.April 2007
Eileen O'Hare, assistant vice president of marketing for PredictiveMetrics, wrote an article entitled Customer Scoring for Collections - Bringing the Cash In! for the January/February issue of the Journal of Business Credit. The article discussed how the commercial trade industry focuses on front-end decisions when they should be focuses on the back-end since that is the profit and loss center. Implementing statistical-based scoring for portfolio management achieves profit maximization. In particular, implementing Customer Scoring (a/k/a Behavior Scoring) for Collections will keep delinquencies down and cash coming in quicker. Eileen discussed how well these models work for other commercial collectors, what these models are, and your return on investment. The article also addressed some of the Scoring Perceptions vs. The Facts.December 2006
PredictiveMetrics’ UltraRecovery™ Score (URS) statistical model for predicting liquidations, was selected by Collection Advisor magazine as a top collection technology product for 2006, for the second year in a row. Collection Advisor magazine recognizes the value of an agency receiving a dollar score and the traditional payer score as well as a comprehensive summary and detailed analysis, including rank order reports and the ability to set up simulations to determine profitability.October 2006
Sam Fensterstock, director of business development for PredictiveMetrics, was a contributing writer for a special issue of Credit Today dedicated to credit scoring. It is a complete "plain-English" guide to credit scoring. PredictiveMetrics' customer Wright Express submitted a credit scoring case study on using statistical scoring to manage credit lines. Wright Express' goal was to expand business with customers exhibiting financial strength and low risk, while limiting access to credit for customers with higher risk, thereby resulting in an expansion of business with little or no incremental portfolio risk. Wright Express through custom behavior scoring models achieved 20% higher credit lines with no additional portfolio risk.October 2006
Michael Banasiak, president of PredictiveMetrics, was interviewed for the Technology issue of Business Credit magazine. The article addressed new and improved technological advancements for credit departments. Michael discussed the innovation of a web-hosted risk based data mining application that integrates predictive scoring output to group data for developing performance based collection strategies. There is no software to implement, no IT resources to implement. Another technological advancement is the improvement of generic scoring decision tools for existing customers that leverages internal AR and collections data, data that is free and proven to be a much more powerful indicator of risk than scores based primarily on bureau data for back-end decisions.July 2006
Ontario Systems, a leading provider of receivables management information systems and PredictiveMetrics, a leading predictive scoring company announced a partnership. This partnership will allow Ontario Systems’ customers to significantly improve collections and recovery operations utilizing PredictiveMetrics’ UltraRecovery™ Score. UltraRecovery Score is a statistical model based on observations from more than 10 million charged-off accounts and blended with socio-economic and demographic data supplied by PredictiveMetrics. Because the pool of data is so vast, UltraRecovery Score accurately predicts payers and dollars to be collected per account, and does not require bureau data or personal information. Customers receive with the scored account files a comprehensive summary and detailed analysis, including rank order reports and the ability to set up simulations to determine profitability. As a value added service, Ontario Systems will offer its customers the ability to determine an optimal bidding price on a bad debt portfolio using PredictiveMetrics' DebtBuyerScore.Second Quarter 2006
Albie Fensterstock, Ph.D., senior consultant for PredictiveMetrics, an article entitle "Data Mining for Dollars," for The Credit and Financial Management Review. The article discussed data mining as one of the tools that can be used, in conjunction with credit scoring, to help optimize the generally sparse resources available to credit and collection departments and, thereby, increase the cash flow, reduce the DSO and control the risk inherent in an accounts receivable portfolio.July 2006
Michael Banasiak, president of PredictiveMetrics, is interviewed for a feature article entitled "Changing the Odds - Is It Time to Go "All-In" on Predictive Analytics?," for the July issue of Collections Technology magazine. The article addresses the slow adoption of collection agencies to use scoring to prioritize collection activities, but the concept is emerging. Creditors have long ago adapted to using scoring effectively for front and back-end portfolio management decisions. Michael Banasiak said, "We absolutely see an uptick in business in the past couple of years from people who have seen the light." The key is to validate the models.July 2006
PredictiveMetrics' UltraRecovery Score is featured in the Vendor in Focus section of the July issue of Collections Technology magazine. The write-up also focuses on PredictiveMetrics' company milestones, our customers for the collections market, and our partners.June 2006
PredictiveMetrics the leading provider of accounts receivable based predictive scoring solutions announced the successful launch of ScoreMinerSM, at NACM’s 110th Credit Congress & Exposition recently held in Nashville, TN. ScoreMinerSM web-based credit scoring and data mining application leverages the predictive power of PredictiveMetrics' Net30Score model output. PredictiveMetrics developed ScoreMiner, to provide clients with a more flexible and viable platform for receiving, reviewing and analyzing information to group accounts based upon the credit or collection manager’s criteria for implementing strategies worldwide.BACK TO TOP
