SPSS BI and Caesius SW Partner to Offer Web Data Analysis

Joining the strength of data mining with a new way to capture useful information from the Web, SPSS BI, a division of SPSS Inc, announces its partnership with Caesius Software, makers of WebQL. The June 1 agreement capitalizes on the complimentary relationship between SPSS' Clementine data mining workbench and Caesius' WebQL, a dynamic solution for Internet-based data aggregation, competitive intelligence and online tracking. Each company now has the option to use the other's services when creating custom solutions. As a result, SPSS customers benefit from WebQL's ability to easily collect valuable competitive information on the Web in real time and Clementine will bring predictive analytic capabilities to Caesius customers.

"More and more organizations are looking for predictive technology to compliment their applications," said John Higgins, director of sales alliances for SPSS BI. "This referral agreement with Caesius means we have yet another channel to deliver award-winning Clementine technology. This time it means people can implement both solutions in tandem, enabling them to sort through the vast amount of potentially critical information available on the Internet with WebQL and then mine that data with Clementine to make critical business decisions that can positively impact their business."

"WebQL gives our customers highly targeted information, but they need quick answers to their business intelligence questions, like how their Web site is performing or where to look for potential customers. Clementine is the next step to making the collected data relevant to their business," said John Fisk, director of business development at Caesius Software. "Clementine's analysis brings meaning to the information collected from the Internet. Now we can provide our customers with critical competitive information that will help them make better and smarter decisions."

WebQL (Web Query Language) was built to retrieve information from the Internet in the same way that Structured Query Language (SQL) retrieves information from enterprise databases. Also called Web harvesting, this process enables users to create simple queries, written in an SQL-like format, to learn more about competitors, recruit prospective customers or employees or create more complex tools such as an automated database population.

About SPSS BI

SPSS BI helps people solve business problems using statistics and data mining. This predictive technology enables customers in the commercial and public sectors to make better decisions and improve results. SPSS BI software and services are used successfully in a wide range of applications, including customer attraction and retention, cross-selling, survey research, fraud detection, Web site performance, forecasting and scientific research. SPSS BI's market-leading products include SPSS, Clementine, AnswerTree, DecisionTime and SigmaPlot.

About SPSS Inc

SPSS Inc is a multinational computer software company providing technology essential to the analysis of data in decision making. SPSS Inc is comprised of five divisions: SPSS BI, SPSS MR, ShowCase, CustomerCentric Solutions and Enabling Technologies. Headquartered in Chicago, SPSS has more than 40 offices, over 1200 employees and 2000 pro forma revenues of $198 million. For more information, visit www.spss.com.

About Caesius Software

Caesius Software is a leader in Internet data extraction software. Caesius develops software which finds, extracts and organizes data from the World Wide Web with tools to enable organizations to work faster and smarter while quickly responding to challenges and opportunities. The company's flagship product - WebQL - is a development tool used to create intelligent, flexible and responsive applications that extract data from the world's largest database: the Internet. For more information, visit www.webql.com.

Contact SPSS Inc, Susan Kalell, 800-525-4980, pr@spss.com.