Machine Learning

Sophisticated analytics made easy.

Screenshot of a data-science algorithm being built with Python code

Maximize the impact of your business applications and drive your Intelligent Enterprise with powerful, advanced, and predictive analytics. MicroStrategy provides an extensive library of native analytical functions and scoring algorithms, along with an SDK to integrate with third-party and open source statistical and data mining products.

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Extend OOTB functionality by integrating with open source and 3rd-party statistical programs.

Using MicroStrategy and popular statistical languages, data scientists can access trusted data to build complex models that benefit the entire enterprise. MicroStrategy delivers open-source R and Python packages that let data scientists surface powerful machine learning algorithms, empowering analysts and developers to rapidly build sophisticated intelligence applications.

R Analytics

R analytics is a leading open-sourced, 3rd-party statistical software. MicroStrategy offers an innovative integration with R that’s fast, simple, and scalable. In just a few clicks, any algorithm, statistic, or analysis generated in R can be seamlessly incorporated into a MicroStrategy report, dashboard, or visualization.

PMML

Predictive Model Markup Language (PMML) is a standardized language for data mining models developed by the Data Mining Group (DMG). It’s the output generated by many leading data mining tools including, SAS®, SPSS®, Microsoft®, Oracle®, and IBM®. MicroStrategy is able to automatically convert PMML outputs into an algorithm that can be used by metrics in MicroStrategy, so you can leverage the work done in these data mining tools directly in your BI applications.

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Integrate MicroStrategy with Alexa or Google Home to turn analytics applications into a voice-enabled personal coach. Boost productivity by blending insights into existing workflows.

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Your pipeline for this quarter is $30M, with your largest opportunity being $3M with WindFarm Technologies. Would you like me to continue?

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