Tag Archives: spss

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.

Analyse the Strengths and Weaknesses of Spss BI

DUBLIN, Ireland –(Business Wire)– Research and Markets (http://www.researchandmarkets.com/reports/c66692) has announced the addition of “The Spss Business Intelligence Radars (Vendor Focus)” to their offering.

This brief analyses the strengths and weaknesses of SPSSs Business Intelligence offering. Information Builders is rated according to its market impact (based on revenues), user sentiment (based on customer perceptions) and technology.

Scope of this title:

Technology: an assessment of SPSSs technology based on specific attributes and the availability of certain features. User sentiment: tracks end-users impression of SPSSs products based on a survey of over 700 Business Intelligence users. Market impact: measures SPSSs market impact based on its revenues and financial performance.

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Highlights of this title:

Many enterprises have invested heavily in enterprise applications that by now form an integral part of their core business processes. Subsequently enterprises are increasingly deploying Business Intelligence solutions in order to unlock the potential of the increasing volume of the mission-critical data captured within an enterprise. Since Business Intelligence could be of benefit to a wide range of organizations, the demand for these solutions will expand. Particularly as organizations are seeking to consolidate their existing BI capabilities further.

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Reasons to order your copy:

Gain detailed knowledge of SPSSs strengths with regards to technology, user sentiment and market impact. Business Intelligence vendors can benchmark their own performance against SPSS in various key criteria. Enterprise IT managers will gain valuable insight to improve their Business Intelligence purchasing decisions.

Topics Covered:

The BI market will continue to evolve and grow

SPSS: Business Intelligence Radars

Recommendation: Explore
Our Ratings
Extended methodology
User Sentiment
Market Impact
Further reading
Ask the analyst

For more information, visit http://www.researchandmarkets.com/reports/c66692.

Source: Datamonitor

Virgin Mobile picks SPSS to optimize CRM strategy

By Melissa Campanelli

Virgin Mobile, Britain’s leading virtual network operator, has selected predictive analytics software from SPSS to drive marketing campaign optimization and reduce customer churn.

The software from Chicago-based SPSS enables Virgin Mobile to analyze its customer data and the results of previous direct marketing campaigns to identify appropriate customer segments for new marketing initiatives targeted at the mobile operator’s 4 million customers.

Virgin Mobile undertakes more than 100 marketing campaigns each year. By identifying the most appropriate customers for each of these, the mobile operator will be able to lower campaign costs, reduce customer churn and increase revenue per user from event-triggered marketing activities. For example, customers who add additional minutes by a certain amount and are likely to churn can be sent a text message reminding them of the benefits of Red, Virgin Mobile’s rewards scheme, at or close to the time they re-up their minutes, rather than within an ad hoc campaign.

SPSS’ predictive analytics software provides Virgin Mobile with a better understanding of its customers by combining information on past circumstances, present events and projected future actions. This gives the mobile operator a complete view of its customers and enables the company to adequately anticipate individual customer behavior and needs. For example, Virgin Mobile can predict the likelihood of a customer leaving and take measures to prevent this.


SPSS Rolls Out Clementine Version 11

by Alex Woodie

Business intelligence software developer SPSS recently unveiled a new version of Clementine, the data mining software that’s often deployed alongside CRM systems to help detect customer patterns, like fraud. Version 11 includes better data cleansing and transformation capabilities, many new calculations, and improved output.

Clementine is one of several predictive analytics products from SPSS that help companies improve their visibility into their customers’ buying trends and habits. In a nutshell, the software accomplishes this little feat of magic by analyzing information on past circumstances along with present events, and projecting their future actions, such as whether they might stop being customers, or try to rip somebody off.

With version 11, SPSS is aiming to make predicting the future even easier. The product includes new algorithms for credit scoring, complex pricing models, CRM and response modeling, forecasting, and rule-based models that incorporate users’ business knowledge, the company says.

Future predictions will arrive earlier than before, thanks to better tooling with Clementine, according to SPSS. The new release includes more robust transformation capabilities, more automated data cleansing, and the use of “optimal binning” to enable more predictive power, the company says. What’s more, the new Binary Classifier feature makes it easier to build multiple models simultaneously, so that the user can pick the best one.

The future is also clearer with Clementine 11.0 thanks to a new graphics engine that makes it easier to generate and edit images, and closer integration with SPSS statistical products.

Unfortunately for iSeries shops, the OS/400 version of Clementine is still several months away from general availability, according to SPSS officials; the Windows version is available now. Stay tuned for more coverage of Clementine for iSeries in an upcoming issue of this newsletter.


Schools use analytic tools to address student performance

SPSS software used to develop performanace models in grades K-12

As students head back to their pencils and books, school districts in several states are turning to predictive analytic tools to meet the data aggregation and analysis requirements of the No Child Left Behind Act and to focus teacher efforts on boosting academic performance.

Research firms Analytic Focus LLC and Reveal Technologies LLC have partnered with Chicago-based SPSS Inc. to help develop models that can predict student performance in grades K-12 based on current instructional methods used in a school. School districts in New York, Colorado, Minnesota, Alabama and Iowa will put in place the SPSS predictive analytics tools and participate in this new program, according to an SPSS announcement.

In addition, the Naperville, Ill., school district, located in the suburbs of Chicago, this summer has been training principals in its 21 schools how to use SPSS’s predictive analytics software, said Alan Leis, superintendent of the Naperville Community Unit School District 203.

“No Child Left Behind [legislation] forces us to focus on individual student data… and large groups by schools,” Leis said. “[SPSS] will allow us to see which students are on a normal growth path and which students are below it… and to predict which students are most at risk for not meeting achievement standards.”

The district began working with SPSS last year to build a master data warehouse that could pull together data from disparate databases containing test scores, demographic data and other information needed for predictive analysis, Leis added. This school year, the district will begin using the software to analyze data and build growth plans for schools and the district’s 19,000 students. The software will replace the time-consuming process of manually analyzing data from test score spreadsheets, Leis added.

“Now we can give [users] a CD with all this data on it so they can do the what-if analysis,” he said. “It allows you to not spend all this time figuring out the data but… figuring out what you did right and what you need to do better.”

Leis said he hopes to eventually expand the use of the software to the district’s 1,200 teachers.

Phil Ashworth, coordinator of testing data for the Hamilton County school district in Chattanooga, Tenn., said he has been using SPSS predictive analytics software for several years to analyze testing data. A year ago, he added SPSS’s Clementine data mining tool to the mix to provide a graphical representation of test scores from the district’s 40,000 students.

The tool allows him to set up the parameters for analysis and to run a report and apply those parameters to any of the 80 schools in the district without having to rewrite any of the instructions, he said. In addition, while testing is commonly done in the spring, it is at the beginning of the school year that teachers need to know their students’ strengths and weaknesses, Ashworth said. The SPSS tools allow him to provide testing data to each teacher at the beginning of the year, he said.