Predictive Analytics with TIBCO Spotfire® and TIBCO® Enterprise Runtime for R
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Last updated:
9:48am Dec 23, 2016

Overview

TIBCO Spotfire® makes it easy for you to analyze data from any number of data sources. Using this data, you can create predictive models and apply advanced techniques within the Spotfire environment. You can also use R models and run them within Spotfire using the in-built TIBCO® Enterprise Runtime for R  engine, as well a leveraging advanced analytics from SAS, MATLAB and databases. You can seamlessly go from data to charts, charts to charts and charts to data which gives you complete flexibility in how you want to analyze data and take advantage of advanced  modeling techniques. You spend time generating insights from your data rather than working on logistics of data and multiple tools.

And once you create an analysis, you can easily share this interactive analysis with others via the Spotfire Library and Spotfire Web Player.

Related Resources, Webinars and Customer Stories

Videos

Using Advanced Analytic Engines from Spotfire

Spotfire Help Files: What are Data Functions?

TIBCO Enterprise Runtime for R


Open Source R


Spotfire S+


SAS


MATLAB


KNIME

TIBCO Partner, Infomatix, provides a Spotfire extension to enable Spotfire to call out to KNIME. 

BIOVIA Pipeline Pilot

Python

You might find yourself working in a situation where you have Python programmers writing Python scripts and R programmers writing R scripts, but you need to share results from data across the organization. Using TIBCO Enterprise Runtime for R, Python, and a set of available packages, you can span the chasm of programming languages for meaningful results.  Optionally, you can create a data function in TIBCO Spotfire to call this code, and then use the results returned from Python to create a visualization.

See https://community.tibco.com/wiki/fitting-model-using-python-and-tibcor-enterprise-runtime-r