IBM SPSS Statistics Server

Improve performance, security and analytic access in enterprise deployments

  • Overview
  • Features and Benefits
  • System Requirements

Gain fast analytical performance

  • Improve productivity by freeing up desktop software while analytical tasks are performed on the server.
  • Analyze massive datasets faster using 64-bit server grade hardware.
  • Run multiple jobs from a single desktop without compromising desktop performance.
  • Generate interactive and editable output tables up to five times faster.
  • Automate and schedule repeated tasks including reports, data preparation and other batch jobs.
  • Drive the SPSS Statistics analytical engine from an external application and implement extension commands in Java.

Sort and aggregate data inside the database prior to analysis

  • Use the Naïve Bayes algorithm to predict classification of cases by treating each variable as independent and equal.
  • Filter large amounts of irrelevant data to obtain only features relevant for modeling using the predictor selection algorithm.
  • Take advantage of optimized multithreading to perform analytical tasks with greater speed and ease.
  • Compare files or data sets to identify discrepancies between them.

Handle administrative functions more efficiently

  • Provide administration rights to users, and use batch-processing capabilities for efficient use of processing resources.
  • Assign priorities so that resources are reserved for high-priority users.
  • Connect outside your company firewall using SSL or connect via VPN.
  • Disconnect the SPSS Statistics client from the network when running server jobs and work uninterrupted without compromising the successful completion of analysis or output.
  • Compress temporary files created by the sort procedure within SPSS Statistics Server to save disk space.

Improve security and standardization

  • Encrypt the communication between a client and a server.
  • Enable password protection for data files and output.
  • Store data centrally instead of on a local desktop where it could be compromised more easily.
  • Enforce standards to ensure that all analysts are using the latest versions of a syntax or data file.

 




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