Spss 16.0

Product Overview:

Features:

Enterprise-level users of SPSS will gain greater productivity with enhancements available in SPSS 16.0. Multithreaded algorithms speed processing If your organization makes use of hardware with multiple processors or with multi-core processors, you’ll gain greater efficiency in processing data, thanks to several multithreaded algorithms available in SPSS 16.0. The following algorithms in SPSS Base are multithreaded: Linear regression Correlation Partial correlation Factor analysis Also, in the add-on module SPSS Complex Samples™, the SPSS Complex Samples Select routine is multithreaded. SPSS Adapter for SPSS Predictive Enterprise Services™ As organizations recognize the need to create more effective processes for managing and automating their analytic assets, providing an efficient, cost-effective way to manage and update these assets becomes increasingly important. SPSS Predictive Enterprise Services provides these capabilities for analytical assets created with SPSS—such as syntax, scripts, and output—as well as for assets created with other SPSS products such as the Clementine® data mining workbench. Please note: The SPSS adapter is available only on the Microsoft® Windows® platform. Enhancements available in SPSS 16.0 enable you to store and manage a variety of assets, including Python® script files, while enjoying increased performance during retrieval and refresh processes. SPSS Predictive Enterprise Services also enables you to automate the steps in the analytic process so that your organization can achieve greater productivity, consistency, and accuracy. For example, if you use SPSS to perform parts of your data preparation and transformation processes and then use Clementine streams to build operational models, the completion of the SPSS job would automatically trigger the Clementine job. This automation enables you to efficiently manage sophisticated jobs that contain multple steps and branching logic. You can also automate the process of notifying analysts when new jobs have run. Finally, once operational models are built, you can automatically score your operational databases or distribute reports that show the results of those models.