This document discusses the challenges of applying R in streaming and business intelligence applications and introduces TIBCO's Enterprise Runtime for R (TERR) as a solution. TERR is an enterprise-grade R engine that allows users to develop code in open source R and deploy it on a commercially supported platform without rewriting code. This enables easy integration of R into applications for real-time analytics on streaming data and embedding R functionality in tools like Spotfire for business intelligence. Examples are provided of using TERR for predictive maintenance of oil and gas equipment and transportation logistics optimization.

1. Applying R in Streaming
and Business Intelligence Applications
Lou Bajuk-Yorgan
Sr. Dir., Product Management
TIBCO Software
lbajuk@tibco.com
@loubajuk
© Copyright 2000-2014 TIBCO Software Inc.
1

2. Analytic Challenges for Enterprises
• Big Data
– More and more data, and the expectation to
do something with it
• Competitive Pressures
– Deeper insights into data--Apply Advanced
Analytics
– Smarter Decisions--Broaden analytic usage
to wider community beyond Data Scientists
– Faster Decisions—both human and
automated
• Agile response to evolving opportunities
and threats
– Answers (and the questions to ask) change
rapidly

3. • Agile
– Easy prototyping of new models
and analysis
• Deeper insights
– Huge array of analytic methods
available
– The “best” method to solve a
given problem is likely available
• Performance
• Not designed for real time or Big Data
applications
• Broader usage
• Hard for non-Data Scientist to use
directly
• Challenging to integrate into enterprise
applications
• Performance, commercial support and
Intellectual Property concerns
• Compromises which impact Agility
• Recode in a new, less agile environment
• Rewrite, use specialized R packages to
solve one problem better
R can help… …but has it’s own challenges

4. What would the ideal solution look like?
• A single environment that would allow you to prototype in R, and deploy to
production in R
– Without recoding, without delay, without compromises
– Enable agile response to changing opportunities and threats
Requires
• Analytic flexibility, power and breadth of R
• High performance, scalable, robust platform
• Easy to embed in Business Intelligence, Real time and custom applications
• Fully supported for mission critical applications
• Allows R users to continue to work in their preferred development environments (e.g., RStudio)

5. TIBCO Enterprise Runtime for R (TERR)
• Unique, enterprise-grade engine for the R
language, built from the ground up by TIBCO
– Based on TIBCO’s long history and expertise with S+
– Better performance and memory management than open
source R
• Designed for R language compatibility
– Wide range of built-in analytic methods
– Compatible with thousands of CRAN packages (dplyr,
data.table, etc.)
• Designed for commercial embeddability
– TIBCO licensed & supported product
– Not GPL, not a repackaging of the Open source R engine
• TERR extends the reach of R in the enterprise
– Develop code in open source R
– Deploy on a commercially-supported and robust platform
– Without the delay and cost of rewriting your code
– Embed in Data Discovery, BI and real time applications

6. Example 1: Embedded TERR in Spotfire
• Spotfire: Data Discovery and Visualization platform for Business Users and Analysts
– Separate analytics platform, independent of TERR/R
• Easily enhance Spotfire analyses and applications with R language scripts
– Extend the impact of the Data Scientist/R by making their analytic insights available to a wider audience
Write R code directly in Spotfire;
TERR executes locally or on server
Manage TERR analytics locally or
in Server to reuse across
community
Deploy TERR-powered
applications to the web

7. Illustrating the power of embedded Advanced Analytics

8. Advanced Analytic Applications in Spotfire
Customer Churn:
• Retain your most profitable customers
• Increase upsell, decrease churn
Fraud Detection:
• Reduce losses due to fraudulent
transactions
Supply Chain Optimization:
• Anticipate peaks and lulls
• Optimize distribution centers
HR Planning:
• Predict employee attrition and optimize
retention

9. • Real-time advanced analytics
– Apply predictive model in response to some triggering event
 Sensors on industrial equipment trending negative; customer walks into your store or purchases online,
etc.
– Trigger the right decision in response
 Extend a mobile offer to a customer; stop a fraudulent transaction in process; alert the equipment
operator or shut down the equipment
Example 2: TERR and Streaming Data
Model
Develop model
Deploy via TERR in
TIBCO Streambase
Act
Automatically monitor
real-time transactions
Automatically trigger
action
Analyze
Analyze data in Spotfire
Uncover patterns,
trends & correlations

10. • Oil & Gas Extraction
– Maintenance Downtime and Equipment failures
are costly
– Engineers track sensor data to find leading
indicators
• Temperature, vibration, etc.
• Engineers usually use ad hoc rules on leading
indicators
– R/TERR used to develop predictive models for
preventative maintenance
– Deployed in real-time systems, alert when
maintenance recommended
Predictive Maintenance for Oil & Gas
© Copyright 2000-2013 TIBCO Software Inc.

11. • Port Congestion Detection
– Real time system triggers TERR
– Analyzes port congestion
– Recommends reduction of speed if
no berths available
• Maritime Abnormality Detection
– Based on Automatic Identification
System info, TERR calculates
likelihood of deviation from normal
sailing routes
– Alerts carrier & operator
Transportation and Logistics Optimization

12. Use TERR in your familiar tools
RStudio IDE
– Free, open source IDE widely used by the
R Community
– Fully compatible with TERR Developer
Edition
KNIME
– Free, open source workflow tool for data
management and analysis
– TERR fully compatible with KNIME
Interactive R Statistics Integration nodes

13. TERR is R for the Enterprise
• Develop code in open source R, deploy on commercially-supported, and
robust platforms
– Without recoding, without compromises
– Save time & money, quickly respond to new threats and opportunities
• Tightly & efficiently embed R language functionality
• Extend the power of R to a wider audience, more applications

14. • TERR Community at community.tibco.com
– Resources, Documentation, R compatibility, FAQs, Forums
– Predictive Analytics overview and resources
• Free TERR Developer Edition
– Full version of TERR engine for testing code prior to deployment
– Supported through TIBCO Community, download via tap.tibco.com
• Spotfire Free Trial: http://spotfire.tibco.com/trial
• R Consortium Founding Member www.r-consortium.org
Learn more and Try it yourself