Revolution R Enterprise is a leading analytics platform based on the open-source R language, focusing on customer retention through churn analytics. It enables high-performance, scalable analytics and integration with Hadoop, offering real-time scoring and deployment of customer churn scores. The platform allows businesses to enhance customer understanding and optimize retention strategies through data analysis and effective offer presentation.

1. Revolution R Enterprise
Demonstration
BDBA Cellular Improves Customer Retention through
Churn Analytics and Relevant Web Content Placement

2. Corporate Overview & Quick Facts
Revolution R Enterprise is the leading commercial analytics platform based on
the open source R statistical computing language
Revolution – “Contender”
The Forrester Wave™: Big Data
Predictive Analytics Solutions, Q1
2013
Founded 2008 (as REvolution
Computing)
Office Locations Palo Alto (HQ), Seattle
(Engineering)
Singapore
London
CEO David Rich
Number of
customers
In the big data analytics
context, speed and scale
are critical drivers of
success, and Revolution
R delivers on both
200+
Investors • Northbridge Venture Partners
• Intel Capital
• Platform Vendor
Web site: • www.revolutionanalytics.com
Confidential to Revolution Analytics 2

3. Revolution R Enterprise
is….
the only big data big analytics platform
based on open source R
the defacto statistical computing language for
modern analytics
§ High Performance, Scalable Analytics
§ Portable Across Enterprise Platforms
§ Easier to Build & Deploy Analytics
3

4. How is RRE used in this demo?
Build & Deploy Consume in BI Real-time Scoring
§ ScaleR Big Data-ready
algorithms
§ Explore data in Hadoop
§ Build & score model in
Hadoop
§ DeployR integration to
BI Solution
§ RRE model-generated
customer churn scores,
other calculated fields &
additional data used for
customer retention
strategy decisions
§ DeployR web services
interface provides real-time
churn propensity
scores to rules engine,
which prescribes
specific offers
4

5. Highlights
Build & deploy Consume in BI Real-time scoring
§ ScaleR Big Data Big
Analytics-ready
algorithms
§ Logistic regression
§ Specify Hadoop
compute context
§ In-Hadoop model
scoring
§ Customer Analysis
§ DeployR Web services
interface to BI Solution
§ DeployR Web services
interface to rules engine
5

6. Revolution R
Enterprise &
Hadoop
§ How Does RRE Play Inside Hadoop
§ How Does RRE 7 Achieve Scale
Internally

7. 7
Simplicity Goal:
Leverage Hadoop As An R Engine.
§ Plus:
– Run RRE Analytics In Hadoop
Without Change
– Eliminate Need To Design Parallel
Software or “Think In MapReduce”
– Leverage All Revolution R
Enterprise Pre-Parallelized
Algorithms
– Enable Users To Build Custom
Apps That Leverage Hadoop’s
Parallelism
– Slash Data Movement by Analyzing
HDFS Data In place
– Expand Deployment and
Integration Options
Broad Adoption of Hadoop
for Big Data Analytics
Performance, Scale, Portability
and Enterprise Assurance
Rapid Adoption of R
Hadoop

8. Parallel Algorithms Running Hadoop
Transparent Distribution of Computation
Hadoop
Cluster
Edge
Node
Data
Nodes
Master Process
Reducer
Mapper Mapper Mapper
8
Mapper
Desktops & Servers
Revolution R
Enterprise

9. Demo
www.revolutionanalytics.com
1.855.GET.REVO
Twitter: @RevolutionR

10. 10
Analytics Ingestion by BI Solution

11. 11
Review – What you just saw
§ RRE as an analytic engine
§ Built a model
§ Generated scores – likelihood to churn
§ Scores are shared with BI Solution using DeployR
– Enhanced customer understanding via visualization
§ Scores can be used to optimize offers presented to customers
– Customer retention offers, up sell/ cross sell, etc.
§ Retain your customers and increase their value

12. Thank you.