Industry Solutions for Statistics and Business Analysis

Statistics

Pull in your data or ours, do standardized or custom analysis and visualization, then generate and deploy interactive reports—all in one system, with one integrated workflow.
The Mathematica statistics solution includes powerful optimization and statistics functionality alongside unique capabilities like free-form linguistic input, instant interactivity, and the reliability of any-precision numerics and symbolic analysis.
Creating dynamic visualizations of data
Comparing two datasets side by side with paired histograms; visualizing distribution shapes using binning or kernel smoothing
Key Capabilities
Why Choose Mathematica
Ways to Use
Key Capabilities
Why Choose Mathematica
Ways to Use
  • Powerful symbolic statistical computation and built-in functions for all standard statistical distributions »
    Competitor note: Matlab, R, STATA and other numerical systems do not have integrated symbolic functionality
  • Integrated access to financial, socioeconomic, geographic, scientific, and other data suitable for computation without preprocessing
    Competitor note: Built-in curated data is not available in other software
  • Complete statistical analysis workflow, from data import to analysis to typeset document or slide show, in a single document
    Competitor note: R, SAS, S-PLUS, Minitab, and other software do not support a complete analysis workflow in a single document
  • Next:
    Ways to Use
Key Capabilities
Why Choose Mathematica
Ways to Use
  • Perform Monte Carlo simulations, bootstrap analysis, estimate probabilities, and more for pricing options and other finance applications
  • Model and predict a wide range of failure rates, such as the life expectancy of a product or the reliability of engineering materials using built-in Weibull distribution functions
  • Analyze FRAP (fluorescence recovery after photobleaching) experiments to quantify the mobility of molecules in live cells or develop models to investigate SIR epidemic dynamics
  • Determine insights by analyzing current and historical built-in financial, socioeconomic, geographic, and demographic data
  • Study public health statistics, voting patterns, consumer spending data, and more for predictive modeling
  • Solve day-to-day optimization problems in many diverse fields such as production, supply chain management, engineering design, finance, and more using built-in or user-defined routines
  • Generate user-defined or built-in 2D and 3D graphics for visualizing data
  • Create interactive applications, reports, and presentations for instant deployment through the CDF Player or webMathematica
  • Next:
    Key Capabilities

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Industrial Strength Statistics & Data Analysis with Mathematica

User Stories
"It's a very effective, compelling visualization tool, and it's open; that is, when someone asks me a question at a presentation, I can actually modify the code on the fly to take account of their new assumption, rerun the model, and present it...they find it a useful tool for thinking about the problem"
—Seth Chandler
Professor of Law, University of Houston
"Now that we have the powers of Mathematica, especially some of the new stuff [in Mathematica] we can do things we couldn't do before.... We can get better results and we can do it quickly."
—William Meyer
Vice President of Technology Development, Scattering Solutions, Inc.
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