Kristof Coussement - The Debate: the Future of (Big) Data Analytics Software

1. Trends in Analytical Software
Andrie de Vries
Revolution Analytics
@RevoAndrie
November 26, 2014
BAQMAR, Ghent, Belgium

2. OUR COMPANY
The leading provider
of advanced analytics
software and services
based on open source R,
since 2007
OUR PRODUCT
REVOLUTION R: The
enterprise-grade predictive
analytics application platform
based on the R language
SOME KUDOS
Visionary
Gartner Magic Quadrant
for Advanced Analytics
Platforms, 2014
(c) Revolution Analytics 2014 2

3. Trends in Analytical Software
Big Data
• Bigger data sets
• Variety of sources
• Distributed
computing
Data Science
• Statistician
• Programmer
• Data expert
R is the tool
• As well as python,
C++
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4. Beyond the hype
Gartner hype cycle
Source: Adapted from http://www.gartner.com/newsroom/id/2819918
(c) Revolution Analytics 2014
Innovation
trigger
Peak of inflated
expectations
Trough of
disillusionment
Slope of
Enlightenment
Plateau of
Productivity
Data
Science Big Data
Cloud
computing
In-memory
analytics
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5. The challenge of big data
Changing Business Environment
• Data driven decisions
• Understand best course of action
Faster Time to Value
• Reduce analytic cycle time
• Build and deploy models faster
Rapid Customer Facing Decisions
• Score more frequently
• Decide in real time
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6. Data science
 I keep saying the sexy job in the next ten years will be
statisticians. People think I'm joking, but who would've guessed
that computer engineers would've been the sexy job of the
1990s?
– Hal Varian, Chief Economist at Google,
The McKinsey Quarterly, January 2009
Data Process Insight Visualise Action
Source: http://www.mckinsey.com/insights/innovation/hal_varian_on_how_the_web_challenges_managers
(c) Revolution Analytics 2014
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7. R is growing rapidly in use and popularity
(c) Revolution Analytics 2014
R Usage
Rexer Data Miner Survey, 2007-2013
Language Popularity
IEEE Spectrum Top Programming Languages
Source: Rexer Data Miner Survey Source: IEEE Spectrum, July 2014
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8. What is R?
 Most widely used data analysis software
• Used by 2M+ data scientists, statisticians and analysts
 Powerful statistical programming language
• Flexible, extensible and comprehensive for productivity
 Create beautiful and unique data visualizations
• As seen in New York Times, Twitter and Flowing Data
 Thriving open-source community
• Leading edge of analytics research
 Fills the Data Science talent gap
• New graduates prefer R
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9. 9
What is R?
http://www.revolutionanalytics.com/what-r
(c) Revolution Analytics 2014

10. Advanced Analytic Platforms
 Revolution Analytics is one of just two
vendors in the visionaries sector
– Along with our partner Alteryx, you have
a leading solution that includes both
scalable analytics and ease of use.
 Revolution Analytics "provides an enterprise-grade,
multiplatform execution framework and an
ecosystem of partnerships to the increasingly
popular open-source R language".
– Gartner
Challengers Leaders
Revolution
Analytics
Niche players Visionaries
Source: Gartner (Feb, 2014)
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11. What this means for you
 Innovation
– Academic research
– Prototyping
 Skills availability
– Your people already know R
 Big data disruption
– Taking analytics to the data
 Many vendors have already
integrated R
(c) Revolution Analytics 2014 11

12. The leading commercial provider of software and support for the popular
open source R statistics language.
Thank you
www.revolutionanalytics.com sales@revolutionanalytics.com
Twitter: @RevolutionR
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