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. 

Customer data mining and predictive analytics helps achieve customer innovation, strengthen brand and lift sales. Gain further customer insight with four attributes of a predictive enterprise so you can start putting customer innovation to work. 

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. 

Before you can analyze your data, you must prepare it for analysis. SPSS Statistics Base offers an array of techniques and features to help users validate data in order to ensure complete, effective, and accurate analysis. This webinar will show you some of these techniques so you can be certain you are getting the best information from your data. 

Maximize survey research value with open text responses. If you've limited your surveys to close-ended questions due to the time and expense of reading and manually coding text responses, this session can be your organization's first step toward maximizing the value of your survey data. 

Join us at this live webcast and learn how you can:<ul> <li>Use RFM analysis to quickly rank customers for high-return marketing</li> <li>Use advanced visualization techniques to uncover segments and patterns in your data, and apply these insights to growth, acquisition, and retention planning</li> <li>and more</li></ul> 

This free webcast will show you how to use the data you are already capturing through your feedback programs, as well as data generated through online conversations, to help you gain more value from every customer interaction. 

To improve the profitability of its subscriptions and increase the value it provides to its advertisers, The Miami Herald Publishing Company used PASW Statistics to find and target new subscribers likely to be stable, profitable customers. Read this case study for more. 

A successful credit card company must be able to accurately assess its credit risk at any given time. Having an up-to-date picture of which clients may default on payments is critical to this process, not only amongst new applicants, but existing customers too. 

CMPD experienced problems with two particular areas of crime. They needed community involvement to really make an impact in these areas. PASW Statistics allowed CMDP to gather data and present it as compelling evidence of the need for community involvement. 

Aspen Publishers Inc. was able to complete two benchmarking surveys more efficiently and save $20,000 per year without the help of outside consultants by using SPSS for Windows, SPSS Data Entry Builder, and SPSS Data Entry Station. Read this case study and find out how they did it. 

This whitepaper details how predictive analysis can help your business. We give you 10 really good reasons on how predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.