P r e d i c t i v e Me t r i c s
PredictiveMetrics’ UtilityScore for Collections: Helping You Work the Right Accounts Founded in 1995, PredictiveMetrics, Inc., formerly Predictive Business Decision Systems (PBDS) turns probabilities into profits by providing statistical-based industry specific UtilityScore for Collections and by developing custom credit, behavior, collection, and recovery scoring solutions.
Increased credit losses and rising DSO, coupled with human resource constraints, have driven utilities to search for new technology to improve collection processes. The industr y is looking for better risk-management tools to help collect smar ter. Collect more and become more efficient by accurately prioritizing your field visits and telephone queues with PredictiveMetrics’ UtilityScore™ statistical model for collections. For even greater accuracy, this solution can be fur ther customized to your specific por tfolio, data, and objectives.
What UtilityScore for Collections Does for Your Business By conducting a retrospective analysis of UtilityScore on your portfolio, obtain mathematical proof that the score optimizes the rank-ordering of collections for you. Develop an effective collection strategy with UtilityScore and benefit from: • Reducing DSO and write-offs – Improves your bottom line by predicting the probability an account will pay or become severely delinquent, possibly leading to write-off. • Payment behavior specific to utilities – Using industr y specific accounts receivable data, collection per formance data, and other external predictive information, PredictiveMetrics’ UtilityScore for Collections is designed for electric, gas, and water companies for both residential and industrial/commercial accounts. • Optimizing final notices, collection calls, and letters – Focus your resources on the right accounts and avoid wasting time on accounts that will “self-cure.” • Minimizing IT resources – The model scores are straightforward and easily accessible via the Internet. File transfer occurs through encrypted FTP Internet exchange.
Solution Provider
• Improving customer satisfaction – Know which customers will pay when they first become delinquent and which customers will pay even if they are delinquent every month.
Leveraging Your Internal Performance Data Is Simple and Saves Money You will need to provide 12 months of the following data to produce and validate UtilityScore: • Aging dollars • Disconnect history • Tenure in months • Balance • NSF returned check • ZIP code • State Your customer’s private identification information (i.e., name, social security number) is NOT REQUIRED.
Enhance Your Collection Scoring With a Custom Treatment Design Identify the best collection methods to take cost-effective actions. PredictiveMetrics combines UtilityScore together with your collection treatments (actions) to develop a statisticalbased treatment design strategy. By using this ser vice, you will understand the measurable impact of taking cer tain collection actions on an account and por tfolio basis, leading to a superior collection strategy.
www.predictivemetrics.com CONTACT INFORMATION Michael J. Banasiak President Vernon E. Gerety, Ph.D. Senior VP, Business Development and Senior Consultant Dan Tantum, Ph.D. VP, Analytical Services
PredictiveMetrics, Inc. 106 Apple Street, Suite 303 Tinton Falls, NJ 07724 Phone 732.530.9303 Fax 732.933.9267 BUSINESS CONTACT
Vernon E. Gerety, Ph.D.
[email protected] Phone 732.530.2980
Custom Scoring Solutions to Meet Your Credit and Collection Objectives Custom statistical scoring models are automated business-decision tools that are empirically derived and validated based on credit per formance of accounts from your residential and commercial por tfolios. • New application scoring – Predicts the risk that a new customer will pay severely delinquent or be written off. • Behavior and collection scoring – Evaluates the risk that an existing customer will go 90 plus days delinquent or be written off. • Recovery scoring – Determines the probability that a collection account will pay its outstanding credit obligation.
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