New York, NY (PRWEB) November 13, 2012
Collection Advisor, a leading credit and collections magazine for debt collectors, has named SunGard in its list of Top 20 Companies of the Decade. The distinction recognizes SunGard’s AvantGard Predictive Metrics, a statistical modeling solution that helps collection agencies and debt buyers prioritize collections for improved debt recovery while also helping debt buyers to assess consumer portfolio risk.
SunGard’s AvantGard Predictive Metrics statistical models utilize the statistical relationship found in payment behaviors which are specific to industry type, including credit card, healthcare, and telecom/utility. The models are run across a debt portfolio to produce a collections score that can help collection agencies determine which accounts have the highest propensity to pay, as well as the forecasted dollar value. This allows them to better allocate resources and prioritize collections, helping to reduce costs and improve recovery rates. The statistical models also help debt buyers assess the expected value of portfolios, helping to reduce the risk of overbidding.
Steel Rose, editor, Collection Advisor, said, “Collection Advisor magazine has been reviewing debt collection solutions for the past decade and we’ve seen many companies and dozens of products. The companies on this list have continued to offer solutions to help resolve the industry’s challenges and have remained forward-thinking throughout the years.”
Mike Banasiak, senior vice president, liquidity and risk analytics, Predictive Metrics solutions, at SunGard’s AvantGard business unit, said, “To be recognized by Collection Advisor for our dedication to the consumer debt community over the past decade is a great honor. Throughout the past 17 years that we have been providing statistical models, we have seen lots of changes affecting the industry, including both the economy and new regulations like the Pintos Ruling, which have impacted the ability for companies to acquire consumer credit reports. Since our models leverage internal data based on a customer’s payment behavior and not credit bureau data, we’re able to help collection agencies and debt buyers adhere to regulations while at the same time, utilize statistical models that have been shown to be more predictive.”
About SunGard’s AvantGard
The AvantGard solution suite includes credit risk modeling, collections management and scoring, treasury risk analysis, cash management, payments system integration, and payments execution delivered directly to corporations or via banking partners. AvantGard solutions help consolidate data from multiple in-house systems, drive workflow and provide connectivity to a broad range of trading partners including banks, SWIFT, credit data providers, FX platforms, money markets, and market data. The technology is supported by a full range of services, including managed cloud services, treasury operations management, SWIFT administration, managed bank connectivity, bank on-boarding, and vendor enrollment, and is delivered by a team of domain experts. For more information, visit http://www.sungard.com/avantgard.
SunGard is one of the world’s leading software and technology services companies. SunGard has more than 17,000 employees and serves approximately 25,000 customers in more than 70 countries. SunGard provides software and processing solutions for financial services, education and the public sector. SunGard also provides disaster recovery services, managed IT services, information availability consulting services and business continuity management software. With annual revenue of about $4.5 billion, SunGard is the largest privately held software and services company and is ranked 480 on the Fortune 500. For more information, please visit http://www.sungard.com.
Trademark Information: SunGard, the SunGard logo and AvantGard are trademarks or registered trademarks of SunGard Data Systems Inc. or its subsidiaries in the U.S. and other countries. All other trade names are trademarks or registered trademarks of their respective holders.
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