How to Build and Share Richer and More Accurate Predictive Analytic Models

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The R language was made for predictive analytics; however, it still has some challenges. When doing sophisticated analysis with R, scaling your workload and managing complex data sets can be tricky. Issues like assembling data, performance, scalability, and then distributing those models can still be difficult with this language.

R was never meant for large-scale enterprise deployments. As data sources get bigger, R’s speed and stability become an issue. This is the reason TIBCO created the TIBCO Enterprise Runtime for R (TERR). TERR is a fundamental reconstitution of an analytics engine that is still compatible with R script. However, this engine is optimized for enterprise-level deployments, allowing it to handle larger volumes of data coming from disparate sources.

Nevertheless, even with R and TERR, there is still the arduous task of acquiring and preparing all of your data for analysis. This is why TIBCO Spotfire is pleased to announce a partnership with Lavastorm.

Lavastorm’s first-to-market, enterprise ready, high-performance, and commercially supported R environment with embedded TIBCO Enterprise Runtime for R (TERR), is designed for IT and data scientists. This partnership will introduce a better way for IT and data scientists to create trusted, complex, and scalable analytical applications faster.

Learn more in our upcoming webinar, “Build and Share Richer and More Accurate Predictive Analytic Models,” where you’ll learn how to:

  • Build richer and accurate data sets more rapidly without requiring access to an open source R server
  • Curate and democratize predictive data models by converting complex algorithms into accessible, reusable analytic building blocks
  • Focus on what you love doing most—building data models, instead of data prep work

Register today to attend! As a thank you from us, all webinar attendees will receive a free 30-day trial of the fundamentally better R engine.