Advancements in SPSS 16.0 Expand Analytical Power

CHICAGO–(BUSINESS WIRE)–SPSS Inc. (Nasdaq:SPSS), a leading worldwide provider of predictive analytics software, today released SPSS 16.0, a significantly enhanced version of its flagship statistical software suite of products. New capabilities in SPSS 16.0 integrate this product with SPSS’ Predictive Enterprise Services™ (PES) analytics platform to direct and automate decisions. This use of predictive analytic technology produces a measurable return on investment and provides SPSS customers with a competitive advantage.

SPSS 16.0 targets the needs of organizations that value predictive modeling capabilities as corporate assets. With PES — an enterprise-level predictive platform addressing key requirements supporting the widespread use and implementation of predictive analytics — businesses utilize more powerful statistics to tap into customers’ attitudinal and behavioral data. The benefits achieved include detecting fraud, increasing revenues through cross-selling and up-selling, and improving overall business process efficiencies and outcomes.

The SPSS 16.0 release features a new user interface written completely in Java™, making the software more flexible and easier to use. Other major enhancements include significantly expanded analytical capabilities, enhanced data management, improved programmability and greater performance and scalability in enterprise applications. This release features the immediate availability of all SPSS 16.0 product modules across the major computing platforms — Microsoft® Windows®, Apple® Mac® OS® X or Linux®.

With version 16.0, SPSS addresses the growing demand for predictive analytics from the commercial sector, while maintaining its leading and respected position in academia. SPSS leads the charge in education as universities worldwide incorporate SPSS in their applied statistics training programs. Today, SPSS 16.0 is the flexible suite of products students-turned-business leaders incorporate into their daily analysis of their customers’ needs, wants and desires.

Customers Laud Added Capabilities of SPSS 16.0

Ken Kirsten, director of analytic consulting for The Nielsen Company, said, “Businesses that incorporate SPSS 16.0 into their technology stack will gain a real competitive advantage as they’ll have the suite of tools necessary to become predictive enterprises. I use SPSS for analysis that simply can’t be done in a simple spreadsheet. This newest version will help me do my job more efficiently and productively.”

Added Bob Muenchen, statistical consultant and manager of the University of Tennessee Statistical Consulting Center, “The SPSS name has been well-known at major colleges and universities around the world for almost four decades now. Students prefer SPSS because it lets them spend their time learning research methods rather than computer programming. SPSS offers a unique combination of ease-of-use for beginners, while providing advanced users programmability and the ability to handle massive data sets.”

Highlights of SPSS 16.0

Supporting the Predictive Enterprise

SPSS 16.0 delivers additional integration with PES, providing a highly efficient, cost-effective way to manage and update the growing number of analytical assets. Enhancements in the SPSS Adapter for Predictive Enterprise Services make it possible to store and manage a variety of analytic assets, including predictive models and data transformations — whether created with version 16.0 or other popular SPSS products — resulting in increased performance.

A New, More Flexible User Interface

The entire user interface, rewritten in Java, has a new form and functionality, making it even easier to work with data. SPSS 16.0 now provides the ability to instantly resize a dialog to see a more complete description of variables, as well as quickly select and drag the variables wanted for analysis.

More Powerful Statistics

A new optional module, SPSS Neural Networks™, provides a complementary approach to the statistical techniques available in SPSS 16.0. Access to neural networks is made simple with the familiar SPSS interface, leading to the discovery of more complex relationships in the data. These powerful analytics offer the ability to forecast consumer demand for a particular set of products, calculate the likely rate of response to a marketing campaign, determine an applicant’s credit worthiness or detect potentially fraudulent transactions.

Enhanced Data Management and Reporting Capabilities

For organizations working with data in multiple languages, SPSS 16.0 provides the ability to process Unicode data, as well as treat text according to Unicode properties for such tasks as sorting and case conversion. In addition, version 16.0 addresses data management concerns, offering more flexibility in how data are prepared and managed.

Improved Programmability

The SPSS Programmability Extension™ enhances the capabilities of SPSS 16.0 by using external programming languages such as Python®. Integration plug-ins are available at the SPSS Developer Central Web site, as is the SDK extension from SPSS that allows users to create their own integration plug-ins.

New to SPSS 16.0 is an integration plug-in for the Open Source statistical programming language, “R.” This enables access to the wealth of statistical routines created in R that can be used within the supportive infrastructure of the SPSS environment as part of SPSS syntax.

To view the entire list of enhancements in SPSS 16.0, please visit http://www.spss.com/spss16/images/pdfs/S16CMPhr.pdf and download a PDF brochure.

About SPSS Inc.

SPSS Inc. (Nasdaq: SPSS) is a leading global provider of predictive analytics software and solutions. The company’s predictive analytics technology improves business processes by giving organizations forward visibility for decisions made every day. By incorporating predictive analytics into their daily operations, organizations become Predictive Enterprises — able to direct and automate decisions to meet business goals and achieve a measurable competitive advantage. More than 250,000 public sector, academic and commercial customers rely on SPSS technology to help increase revenue, reduce costs and detect and prevent fraud. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For additional information, please visit www.spss.com.