Advanced Analytics with TIBCO Spotfire® Data Functions

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 Python, 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.

Webinars, Whitepapers, Customer Stories and related Wiki pages

• View a webinar on Extending Spotfire with R & Python data functions
  • View Zoom recording,  Passcode: 8.CjdGu?
  • View Slides python_and_r_in_spotfire_-_jnj.pdf 
• InsideBigData Guide to Predictive Analytics, sponsored by Spotfire
• Whitepaper Top 3 Ways to Use Data Science
• Whitepaper Empowering the Masses with Analytics
• This webcast  gives an overview of using Predictive Analytics with Spotfire and TIBCO Enterprise Runtime for R. 
• This white paper, Busting Financial Crime with TIBCO, details a financial crime solution using Spotfire.
• TIBCO Analytics Meetup (TAM) Webinar series - videos, sign-up
• Follow this link for archived webinars and customer success stories around Predictive Analytics in Spotfire.
• How to Apply Analytic Models (R, TERR and others) to Real Time Event Processing, RTInsights article with several real world examples about how to combine Spotfire and StreamBase.
• Machine Learning Wiki page: Machine learning is a method of data analysis that automates analytical model building.  Powered by algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.
• Solution Templates, data functions and accelerators on the TIBCO Component Exchange:
  • Watch video on Using data functions on the TIBCO Component Exchange

Videos

• Overview: Spotfire Data Functions using TERR (17 min)
• How To Video: TERR in Spotfire (7 min)

Using Advanced Analytic Engines from Spotfire

Spotfire Help Files: What are Data Functions?

TIBCO Enterprise Runtime for R

• TIBCO's enterprise-grade runtime for the R language
• Software Required
  • For desktop use, TIBCO Enterprise Runtime for R is automatically Installed with Spotfire Desktop/Analyst, and you can use it directly. For example, you can configure RStudio to open the same TIBCO Enterprise Runtime for R engine, and easily dowload and install CRAN packages for use with TIBCO Enterprise Runtime for R. 
  • For cloud use, TIBCO Enterprise Runtime for R is included on TIBCO Cloud™ Spotfire®. You can design data functions with Spotfire Analyst for TIBCO Cloud™ Spotfire®, and then publish them to TIBCO Cloud™ Spotfire®. You can use any of the nearly 600 CRAN packages also available on TIBCO Cloud™ Spotfire®. To reviewa list of the available packages, see http://spotfi.re/package-list.
  • To use TIBCO Enterprise Runtime for R in Spotfire Web applications, Spotfire Statistics Services is required. 
• More info
  • TIBCO Enterprise Runtime for R Wiki
  • Free Quick Reference Topics
    • Data Functions: pass multiple inputs and outputs to TIBCO Enterprise Runtime for R. The most flexible way to call R scripts in Spotfire.
    • Expression Functions: Call TIBCO Enterprise Runtime for R directly from the Spotfire Expression Language. The simplest way to enhance your analysis with R scripts. 
  • ​Full, in depth training course available on line: Spotfire Analyst Extended with R - TIBCO Enterprise Runtime for R
  • Tips for Debugging Data Functions
  • Top 10 Tricks for using TERR data functions
  • Upload SBDF Files to the Spotfire Library on Spotfire Server
  • Sample Data Functions and Analysis files for TIBCO Enterprise Runtime for R are provided for your Spotfire Library. If you don't see these files in Library, contact your Spotfire Adminstrator. 
  • Spotfire components on the Exchange:  Download data functions and analysis templates that enable you to easily extend Spotfire advanced and predictive capabilities
  • Blog Post: Easy to use Interfaces for Hadoop Calculations (with Spotfire and TERR)

Open Source R

• Software Required
  • Spotfire Statistics Services
  • Download of the OS R engine
• More Info
  • See Configuring an Open-Source R Engine in the Spotfire Statistics Services Installation Guide for info on configuring it to use open source R.
  • See reference above to quick start guides and training course on R - TIBCO Enterprise Runtime for R.
  • Sample Data Functions and Analysis files for OS R are provided for your Spotfire Library. If you do not see the data functions, consult your library administrator.
  • See https://community.tibco.com/wiki/effective-r-package-management-using-packrat-statistics-server for information on how to use Packrat with OSR to provide an effective method for managing package dependencies for your Data Functions.

SAS

• Software Required
  • Spotfire Statistics Services
  • SAS license
• More info
  • See Configuring a SAS Engine in the  TIBCO Spotfire Statistics Services Installation Guide for info on configuring it to use SAS.
  • Sample Data Functions and Analysis files for SAS are provided for your Spotfire Library. If you do not see the data functions, consult your library administrator.

MATLAB

• See Running MATLAB under TIBCO Spotfire

BIOVIA Pipeline Pilot

• Software Required
  • Pipeline Pilot
  • TIBCO Spotfire Connector for Pipeline Pilot
• More info
  • TIBCO Spotfire Connector for Pipeline Pilot

Python

There are a few options for how to use Python for Advanced Analytics in spotfire. As of Spotfire 10.7 there is native support for Python Data functions in Spotfire Analyst (the installed Spotfire client) which is the prefered method. Read more about it here.

If you are on an older version of Spotfire please see the FAQ and the heading "I have an earlier version of Spotfire. Can I use Python in some other way?"