SPSS Inc., a leading worldwide provider of predictive analytics software, has unveiled what the company calls one of its most robust releases of its enterprise data mining software, Clementine 11.0. The product features dramatically enhanced solutions through the addition of data analytic techniques and innovative graphic capabilities, the company says.
Version 11.0 of Clementine enables organizations to enhance productivity in customer relationship management (CRM), marketing, and risk analysis, and can provide better analysis for fraud detection, the company says.
The product is a key component of the companyÆs market-leading predictive analytics offerings, and this release is now tightly integrated with the SPSS statistical products, giving users easy access to statistical and data management capabilities.
Colin Shearer, senior vice president of market strategy at SPSS, led the team that designed and developed Clementine in the early 1990s. ôClementine has led the data mining market for more than a decade, particularly among organizations looking to boost their CRM return on investment,ö Shearer said. ôThe innovations in Clementine 11.0 push it even further ahead, taking SPSSÆ predictive platform to a new level by providing unequalled support for analytical productivity and bridging the gap between advanced analytics and business solutions.ö
Atique Shah, vice president of direct marketing and consumer insights at EarthLink, an Internet service providerand SPSS customer, said, ôWe are extremely impressed with the customer-centric response from SPSS in advancing their data mining product to help organizations, such as EarthLink, better meet their customer marketing needs.ö
Tilmann Bruckhaus, director of analytics at Numetrics Management Systems Inc., the leading provider of project planning tools to the semiconductor industry, added, ôClementine 11.0 considerably expands the product with attributes that will drive the use of analytics deeper into an organization and broaden its use in any business. As a product beta tester, IÆm extremely excited about the significant advancements to this version that bring Clementine above and beyond prior releases.ö
In commenting on the new product developments, Anthony Colyandro, data analyst/data management at government consulting firm SRA International Inc., said, ôSPSS is on the cutting edge of predictive analytics technology, and Clementine 11.0 offers new capabilities that will enable us to provide the best business solutions to our clients.ö
First released in 1994, Clementine is SPSSÆ industry-leading data mining workbench. Clementine customers span across many industries, including finance, banking and insurance, telecommunications, retail, utilities and pharmaceuticals. There are several thousand users.
SPSS was positioned in Gartner's Magic Quadrant Leaders' Quadrant. In the report, Gartner stated leaders are performing well today, have a clear vision of market direction and are actively building competencies to sustain their leadership position in the market.
Gareth Herschel, research director at Gartner, said in a recent presentation, ôThere is an ongoing explosion in the volume and variety of data available within organizations.ö He also noted, ôData mining is an important form of analysis for companies from a variety of industries to understand.ö
More Specific Benefits of SPSSÆ Clementine 11.0:
- New algorithms empower new application areas
Increased analytical power and functionality have been introduced with specific business solutions in mind. New algorithms provide support for credit scoring (Discriminant Function Analysis), complex pricing models (Generalized Linear Models), CRM and response modeling (Logistic Regression), forecasting (Time Series) and rule-based models that incorporate usersÆ business knowledge. - Productivity improvements increase efficiency
The time to develop and deploy models has been significantly reduced due to the development of more robust transformation capabilities, more automated data cleansing, and the use of optimal binning to enable more predictive power. Developing and selecting the best model is made simple by building multiple models simultaneously with the Binary Classifier. - Better graphical output and improved management communication and insight
Customers are now able to easily edit and distribute presentation-quality images, providing more efficient management reporting and more effective communication through a powerful new graphics engine and integration with the reporting and high-quality graphics of the SPSS statistical products. - Integration contributes to better performance and greater leverage of existing investments
Clients can now fully leverage their IT investments by using the parallelism in high-performance hardware and software (such as multiprocessor or multicore systems), as well as data mining algorithms provided as part of the database systems by IBM, Microsoft and Oracle. The use of secure sockets layer (SSL) encryption and stream password protection of files heightens the security of sensitive data.
For more information on Clementine 11.0, visit:
http://www.spss.com/clementine/whats_new.htm
About SPSS
SPSS Inc. (NASDAQ: SPSS) is a leading worldwide provider of predictive analytics software and solutions. The company's predictive analytics technology connects data to effective strategic action by drawing reliable conclusions about current conditions and critical future events. More than 250,000 commercial, academic, and public sector customers rely on SPSS technology to help increase revenue, reduce costs, improve important processes, and detect and prevent fraud. More than 95 percent of the Fortune 1000 companies are SPSS customers. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For additional information, please visit www.spss.com.
About the Gartner Magic Quadrant
The Magic Quadrant is copyrighted January 2006 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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