Access Receivables will leverage the predictive power of placement data to determine not only the propensity of accounts to pay, but also the expected dollar amount in order to help increase their liquidations and gain more accurate payment forecasting. AvantGard Predictive Metrics will help the company enhance their debt collections programs for their clients by helping them more accurately prioritize accounts and identify the type of collection strategy to apply.

Tom Gillespie, president Access Receivables, said, “Access Receivables prides itself on introducing innovative solutions like statistical modeling into its collections programs. A determining factor in our selection of SunGard’s AvantGard Predictive Metrics was the complimentary validation analysis performed on one of our most successful portfolios. The analysis demonstrated strong segmented results, thereby proving that they work and are accurate. Statistical modeling will help us reduce our dependency on credit bureau data and instead use debtor payment behavior data to help provide our clients with the highest rate of debt recovery.”

Dwayne Banasiak, vice president business development, Predictive Metrics solutions, at SunGard’s AvantGard business unit, said, “Collection agencies like Access Receivables are under increased pressure to deliver high rates of liquidations to their clients. Persistent economic volatility and high unemployment rates only add to the complexities of an already challenged industry. As such, knowing the probability that an account will pay, and the expected value, and then tailoring collections activity around this decisioning solution is a must. SunGard’s AvantGard Predictive Metrics provides statistical scoring for the collection of debt, automating the decisions necessary for evaluating the collectability of a portfolio, and thereby helping drive higher rates of debt recovery and increased liquidations.”

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