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OEMing SPSS Technology

Pyramid - Tools

Tools

The breadth of SPSS' predictive analytics offerings enables OEM partners like you to choose the level of functionality that suits your needs. If you don't want to implement a data management infrastructure around embeddable components, you can simply embed our tools into your applications. This enables advanced users to build models within the context of your application.

SPSS tools, such as SPSS® Server and Clementine® Server, have a number of properties that make them ideal for embedding into your applications.

The SPSS tools described below feature scalable servers that leverage relational database technology from leading vendors. All of our servers run on Microsoft® Windows® and UNIX server platforms.

AnswerTree Server

AnswerTree, SPSS' decision tree tool, supports four classification and regression algorithms: CHAID, exhaustive CHAID, classification and regression trees (C&RT), and QUEST. When embedded in other applications, companies can drive AnswerTree through scripting, and export output such as gains and model information from the model building process. The SPSS Scoring Engine can be used to score models generated by AnswerTree.

Clementine Server

Clementine, SPSS' market-leading data mining workbench, provides a comprehensive set of functionality that includes the ability to read data from many formats, transform and create visualizations of data, build data mining models, and deploy data to different formats.

When you embed Clementine Server into your application, you can use the Clementine client user interface to define data operations and expose modifiable parameters. Operations defined by the Clementine client can be driven by Clementine's scripting facility and executed through Clementine Server's command-line interface.

SPSS Server

The market-leading statistical analysis package, SPSS has an installed base of more than 250,000 users. SPSS Server includes an extensive library of data transformation and statistical procedures that your customers can use to solve a wide range of problems. SPSS syntax can be generated using the SPSS client user interface. As with Clementine, SPSS can be driven through a command-line interface to run SPSS syntax jobs. A new feature is the ability to create SPSS output in XML format, which allows embedding applications to either display the output through an XSLT-to-HTML transformation, or drive further processing by parsing the XML and evaluating the results.