eagle-i Ponce School of MedicinePonce School of Medicine
See it in Search
This page is a preview of the following resource. Continue onto eagle-i search using the button on the right to see the full record.


eagle-i ID


Resource Type

  1. Software


  1. Resource Description
    "The STATISTICA line of software provides a comprehensive and integrated set of tools and solutions for: * Data analysis and reporting, data mining and predictive modeling, business intelligence, simple and multivariate QC, process monitoring, analytic optimization, simulation, and for applying a large number of statistical and other analytic techniques to address routine and advanced data analysis needs * Data visualization, graphical data analysis, visual data mining, visual querying, and simple and advanced scientific and business graphing * Simple and advanced desktop analyses and computing for business, engineering, research institutions, universities, laboratories, and for applications ranging from CRM and predictive modeling to the application of multivariate model-based quality control. * Role-based and guided enterprise-wide analytic computing and reporting, using Web-enabled server-based computations managed by a mature, robust, scalable, and open-architected server platform that can take advantage of the most powerful hardware, multi-core servers, and server farms, to perform mission critical analytic tasks (in validated manufacturing environments) that in many cases cannot be accomplished by any other analytic solution platform."
  2. Contact
    Colón, María
  3. Manufacturer
    StatSoft, Inc.
  4. Used by
    Behavioral Core Facility
  5. Version
  6. Operating System
    Microsoft Windows
  7. Software purpose
    Statistical analysis and modeling objective
  8. Website(s)
  9. Software license
    Proprietary commercial software license
Provenance Metadata About This Resource Record
  1. workflow state
  2. contributor
  3. created
  4. creator
  5. modified
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016