Insightful Corporation (Nasdaq:IFUL), a leading provider of advanced statistical software for analysis of numeric and text data, today announced that Ohio Savings Bank's Indirect Lending division has selected S-PLUS 7 Enterprise Developer, the de facto industry standard software platform for statistical data analysis and predictive analytics.
Analysts and business decision-makers at Indirect Lending are benefiting from the power of predictive analytics made possible by S-PLUS 7 Enterprise Developer. The software is improving the effectiveness and efficiency of the company's decision-making processes in a variety of business areas, including application-based risk scoring, portfolio risk management, and collections behavior strategies. Deployment of S-PLUS 7 Enterprise Developer is supporting customer demand to manage and analyze increasingly larger data sets with greater efficiency, supporting the dynamic nature of the indirect lending business.
In addition, the S-PLUS workbench environment, complemented by powerful visualization tools for exploring data, helps communicate current portfolio performance to time-constrained decision-makers who need to take action to reduce risk and optimize lending product performance. Better visualization enhances productivity by reducing the time required to explain each analysis, leaving more time to make important lending decisions.
"I am very pleased with the release of S-PLUS 7 Enterprise Developer," said Donald Seyler Sr. business statistician, for Indirect Lending at Ohio Savings Bank. "Insightful has developed their software to meet my needs, giving me confidence that future releases will continue to evolve to meet the challenges I face going forward."
"We are delighted that Ohio Savings Bank's Indirect Lending division has selected S-PLUS 7 Enterprise Developer to support their need to deploy predictive analytics for immediate business benefit," said Jeff Coombs, CEO of Insightful Corporation. "With S-PLUS 7, the bank now has a flexible, scalable platform for efficiently and effectively analyzing and visualizing portfolio and loan level data to provide the predictive intelligence their decision-makers need to reduce risk and improve performance of their lending products."