Enterprise-Scale Analytics With R: White Paper

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Enterprise-Scale Analytics With R: White Paper

Making R work for predictive analytics in the enterprise.

Written By

RTInsights Team

Oct 25, 2016

1 minute read

The R programming language is pervasive in academia as a statistical tool, but it’s quickly becoming a critical language for companies that want to leverage the power of predictive analytics.

Roughly 70 percent of data miners report using R and some 25 percent use it as their primary tool. The R language excels at including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, and clustering.

But businesses that want to get a handle on big data and fast data face some challenges in using open-source R, including memory limitations and lack of scalability.

In this white paper, you will learn:

What the key success factors are for enterprise analytics.
Three requirements for deploying predictive analytics.
The most popular R algorithms in use.
Overcoming open-source R challenges by using a commercial platform such as Teradata Aster Analytics.

RTInsights Team

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Enterprise-Scale Analytics With R: White Paper

In this white paper, you will learn:

What the key success factors are for enterprise analytics.

Three requirements for deploying predictive analytics.

The most popular R algorithms in use.

Overcoming open-source R challenges by using a commercial platform such as Teradata Aster Analytics.

RTInsights Team

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