IBM offers strong capabilities in information management, reporting and analysis. A merger with SPSS in 2009 further enables customers to drive competitive action from both structured and unstructured data. SPSS was an early driver of predictive analytics and influenced its emergence on the market; now it’s an established leader in the field. This IBM company’s predictive-analytics offerings provide organizations a distinct advantage as analytics becomes a mainstay in today’s gridlocked marketplace.
The IBM SPSS predictive-analytics software portfolio combines various capabilities that integrate multiple data sources for statistical, mathematical and other algorithmic analyses and predictive modeling—along with an infrastructure that helps organizations effectively deploy predictions. The results are higher-quality decisions, measurably better outcomes and a higher ROI.
Business analytics combines the forward-looking capacities of predictive analytics with the data-exploration and reporting capabilities of business-intelligence applications. Because it gives organizations the power to use their rich stores of data in many different ways, business analytics is at the heart of providing business insight; it’s the engine that drives better outcomes. System Components>
The Real ROI
Organizations that invest in predictive analytics improve their capability to gain detailed insight into present conditions and to evaluate likely future events and outcomes. They quickly identify ways to improve business performance by cutting costs, minimizing risk and developing successful strategies for increasing revenue. They often outperform their peers. Not surprisingly, the demand for predictive analytics continues to grow. In a 2009 IBM study, 83 percent of CIOs said analytics is a priority.
Companies that deploy predictive solutions clearly demonstrate the power of predictive analytics. Ninety-four percent of SPSS customers achieved a positive ROI with an average payback period of 10.7 months, according to a Nucleus Research study. Returns were achieved through reduced costs, increased productivity, increased employee and customer satisfaction, and greater visibility. Flexibility, performance and price were all key factors in SPSS software purchase decisions.