SPSS Insight Award™ for excellence and innovation in predictive analytics

European Directions provides a chance for SPSS’ customers in Europe to be recognised by the annual SPSS Insight Award™. The award acknowledges the customer who has most effectively driven the widespread use of data to improve decision making.

As part of the annual Insight Award Programme, SPSS reviews best practices in predictive analytics, identifies the top performing customer as it navigates the predictive analytics journey, and chooses the organisation that has achieved significant business results and made the biggest steps towards becoming a true Predictive Enterprise using SPSS solutions.

The 2008 European Insight Award winner is Digital+

During the closing reception at SPSS Directions 2008 in Athens, SPSS Inc. announced that Digital+, Spain’s leading pay television provider, was the winner of the SPSS Insight Award™ 2008.

Digital+ received the Insight Award for Excellence and Innovation in Predictive Analytics for successfully improving its customers’ experiences and strengthening its relationships with its viewers.

Digital+, part of Sogecable, made outstanding improvements to its customers’ overall experiences by using SPSS Predictive Analytics in its call centre operations. SPSS software equipped the company’s call centre agents with instant, reliable data in the form of a ‘pop-up’ card providing information on each customer, including key data about their contract and product package. This helped Digital+ enrich its relationships with individual customers.

SPSS Predictive Analytics was the key to improving customer acquisition, satisfaction and loyalty, and it contributed to a significant increase of customer retention only two months after being deployed.

Previous winners of the European Insight Award

The 2007 winner of the Insight Award for Excellence and Innovation in Predictive Analytics was Cablecom, a Swiss cable television company, which won the prize for the best use of a predictive software solution in its efforts to improve customer retention.

Through its innovative use of SPSS Predictive Analytics, the cable television operator was able to make outstanding improvements in customer loyalty, reducing churn from 19 percent to two percent among customers targeted by the predictive analytical model.