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IBM SPSS Statistics

Tekpon Score
8.9

IBM SPSS Statistics Reviews

& Product Details

What is IBM SPSS Statistics?

IBM SPSS Statistics is a comprehensive statistical software tool designed to help businesses, researchers, and educational institutions perform advanced data analysis and predictive analytics.

IBM SPSS Statistics is a comprehensive software platform designed for statistical analysis. It provides tools to manage and analyze data, supporting advanced statistical procedures to enable precise decision-making across various fields. The software caters to diverse users, including researchers, students, and corporations, offering both subscription-based and traditional licensing options.

SPSS Statistics integrates with open-source programming languages like R and Python, enhancing its analytical capabilities. It supports a wide range of statistical tests, predictive modeling, and machine learning techniques, making it a versatile tool for in-depth data analysis.

Found in these Categories

Best For

Uncover data insights that can help solve business and research.
  • StartUps
  • Freelancers
  • Small Business
  • Medium Business
  • Large Enterprise
  • Non-profit Organization
  • Personal
  • Cloud, SaaS, Web-Based
  • Mobile - Android
  • Mobile - iPhone
  • Mobile - iPad
  • Desktop - Mac
  • Desktop - Windows
  • Desktop - Linux
  • Desktop - Chromebook
  • On-Premise - Windows
  • On-Premise - Linux
  • Company Name

    IBM

  • Located In

    United States

  • Website

    ibm.com

Starting from:

$99 /month

Pricing Model: Subscription

  • Free Trial
  • Free Version

Pricing Details:

This tool has a singular plans for 99 USD.

  • Data Cleansing
  • Key Performance Indicators
  • Predictive Analytics
  • Reporting & Statistics
  • Reporting/Analytics

Additional Features

  • Data Discovery
  • Ad hoc Reporting
  • Statistical Analysis
  • Predictive Modeling
  • Budgeting/Forecasting
  • Collaboration Tools
  • Data Visualization
  • Dashboard
  • Machine Learning
  • High Volume Processing

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