In today's volatile market, insurance claim losses and unprofitable customer relationships can quickly overwhelm an insurance provider. To transform these potentially costly challenges into opportunities, many insurance companies are applying predictive analytics to their daily business operations.
SPSS predictive analytics solutions help insurance companies minimize claims risk and maximize customer value by integrating real-time analysis within their existing systems and processes. Predictive analytics make it possible to take advantage of oftentimes underutilized data from every channel—Web data, claims data, and textual data like notes from call centers—in closed-loop analysis that applies results to improve interactions.
Empower agents, call center representatives, and other employees throughout your organization with the predictive insight to know what’s next, now. Transform data into applied customer insight with real-time predictive analytics that optimize customer interactions for the greatest mutual value while minimizing claims risk.
Discover how SPSS Inc. solutions for insurance can support your organization’s objectives, including:
Contact an SPSS representative today to find out how we can help you achieve your goals.
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In the News: SPSS predictive analytics provide solutions to insurance companies by minimizing claims risk and enhancing customer relations
Dutch insurance agency FBTO Verzekeringen substantially improves direct marketing campaigns with SPSS PredictiveMarketing.
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Corona Direct, Belgium's second largest insurance agency, recduces direct marketing costs and maintains revenue using SPSS predictive analytics.
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Customer story: FBTO increased conversion by 50 percent
FBTO—a subsidiary of the Achmea Group, one of Holland's largest insurance groups—selected SPSS predictive analytics to target customers for outbound marketing activities and quickly increased the conversion rate of direct mail contacts by 50 percent.
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