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SAS Advanced Analytics

SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

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SAS Advanced Analytics Alternatives

The best SAS Advanced Analytics alternatives based on verified products, votes, reviews and other factors.
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  1. RStudio

    RStudio™ is a new integrated development environment (IDE) for R.

  2. RapidMiner Studio

    Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

  3. MATLAB

    A high-level language and interactive environment for numerical computation, visualization, and programming

  4. RapidMiner

    RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

  5. Anaconda

    Anaconda is the leading open data science platform powered by Python.

  6. IBM SPSS

    IBM SPSS is a predictive analytics suite for enterprises.

  7. Board

    Unified BI, CPM and predictive analytics software.

  8. Tableau Server

    Tableau Server is a business intelligence application that provides browser-based analytics anyone can learn and use.

  9. Alteryx

    Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

  10. IBM Watson Studio

    Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

  11. MicroStrategy

    MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

  12. IBM SPSS Modeler

    IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.

  13. QlikSense

    A business discovery platform that delivers self-service business intelligence capabilities

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This article was published on | Author: | Publisher: SaaSHub
Categories: Technical Computing, Data Visualization, Numerical Computation
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