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WHITE PAPER:As the second installment in The Customer Innovation Series, this paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation.

Posted: 07 May 2009 | Published: 31 May 2007

WHITE PAPER:This whitepaper makes the case for using predictive analytics as a catalyst for a company's growth. It includes best practices from several global companies including: Cablecom, Royal & Sun Alliance, and T. Rowe Price. Ultimately, it is about maximizing the level of understanding that can be achieved with customer data.

Posted: 07 May 2009 | Published: 31 Dec 2008

WEBCAST:Are spreadsheets a help or a hindrance when performing data analysis? Get the real story from the author of SPSS for Dummies, Arthur Griffith. In this informative and entertaining webcast, you'll receive expert guidance on the proper uses and limitations of spreadsheets, as well as the strengths and benefits of SPSS Statistics.

Posted: 05 May 2009 | Premiered: Mar 19, 2009, 01:00 EDT (05:00 GMT)

WHITE PAPER:Who are my best customers? If you manage sales, marketing, or customer service, you want an answer to that. That's because implementing successful strategies for every customer segment is critical to increasing business profits. This paper describes just a few of the ways that you can use analytics to better understand your customers.

Posted: 20 Feb 2009 | Published: 20 Feb 2009

WHITE PAPER:This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by SPSS Inc.'s text analytics solutions.

Posted: 20 Feb 2009 | Published: 20 Feb 2009

WHITE PAPER:This paper makes the case for using predictive analytics to drive organic growth, and gives two different methods for measuring financial return.

Posted: 20 Feb 2009 | Published: 20 Feb 2009

WHITE PAPER:The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." Myths and misconceptions create their own risks and need to be debunked. This article outlines some risks, debunks some myths, and provides some protective "hard hats" for data miners.

Posted: 20 Feb 2009 | Published: 20 Feb 2009