The Wolfram Solution for

Data Science

Bring in your data, combine it with Wolfram|Alpha's ever-increasing store of knowledge, apply sophisticated symbolic and numeric analysis, and create state-of-the-art visualizations—all in one system, with one integrated workflow.

Underlying the Wolfram data science solution are world-class analysis and classification algorithms, free-form linguistics for quick input, and hundreds of importable data formats.

Combining built-in curated and imported data and performing unusual analysis
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Mathematica includes thousands of built-in functions and curated data on many topics that let you:

  • Build customized analytical tools
  • Fit data to common models or to newly developed theoretical models
  • Study voting patterns or other social statistics
  • Merge built-in economic data with your customer data to understand how changes in sales are linked to broader events
  • Make statistical visualizations with a high level of algorithm automation and computational aesthetics
  • Create interactive tools for analyzing your data and deploy them as presentations or reports in the Computable Document Format
  • Develop original, sophisticated algorithms for data science

Develop computationally intensive business intelligence applications with superior user experience and deployment flexibility

Create histograms with log scales for easier interpretation or show histograms alongside other visualizations

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Combine your data with Wolfram|Alpha's ever-increasing database on a wide range of topics, accessible programmatically and ready for further analysis
    No other system has built-in access to such a broad selection of curated data
  • Instantly create interactive tools for curve-fitting or data analysis
    Other programs do not allow creation of interactive tools
  • Import, analyze, and deliver results in one interactive document instead of across several applications
    MATLAB does not offer this feature
  • Create highly customized, presentation-quality visualizations, including charts, bar charts, scatter plots, and many more
    SPSS requires explicit programming for customized charts
  • Work with sparse arrays with algorithm support that improves performance of very-large-scale linear algebra operations
  • Work with 35 properties of over 100 statistical distributions with specialized coverage for finance, medicine, and engineering—more distributions than any other system, including dedicated statistics software
  • Extend built-in algorithms with your own models
  • Use readable, easily recognizable function names
    R's function names are nonstandard abbreviations
  • Use built-in parallel and GPU computing capabilities to speed your computations
    Other programs do not offer built-in parallel or GPU computing

Work with nonparametric data models in any number of dimensions

Create dashboards that analyze and display live data in real time

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

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