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Matt Aldridge – CEO
matt@mango-solutions.com
Is R Ready for the
Enterprise?
Matt Aldridge – CEO
matt@mango-solutions.com
Agenda
• Data Science
• Why was there a need for R
• Classic Advantages of R
• Today’s advantages – Is R now ready for
the Enterprise
• Summary
Matt Aldridge – CEO
matt@mango-solutions.com
Data.
Science.
Matt Aldridge – CEO
matt@mango-solutions.com
Data Science
• Analytics has long been a “reactive” industry
• Businesses increasingly understand that the key
to better decision making can be found in their
data
• The “Data Science” approach embodies a move
towards analytics used in a proactive manner to
drive decision-making
Matt Aldridge – CEO
matt@mango-solutions.com
The Data Science Opportunity
• Drive efficiencies and cost savings by putting
data-driven insight into the hands of decision
makers
• Analytics can help to
• Understand business drivers
• Predict trends
• Optimize business behaviours
• Identify new opportunities
Matt Aldridge – CEO
matt@mango-solutions.com
Key Data Science Component - R
• Massive growth in usage and popularity
• Grown from academic offshoot of S Language
• Fastest Growing Programming Language
Matt Aldridge – CEO
matt@mango-solutions.com
Why was there a need for R?
• Existing technologies grown around commercial
operations
• Minimal innovation around stats and math
• New techniques and methods taking years to reach
softwares
• Embedded stats within large scale softwares
• Stats as an add on rather than central
• Competitive advantage becoming crucial
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantages of R
• Open
• Extensible
• Powerful
• Support
• Graphics
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantage - Open Source
• Free! No license obligations
• Backbone of the S language developed by AT&T Bell Labs
• Core group supported by 1,000s of developers
• Large take up in academia
• New methods from research quickly integrated
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantage - Extensible
• Fast Growing Community
• Platform independent
• Architected as a central platform with addons
• Verticalised approach to industries
• If the algorithm doesn’t currently exist you can create it
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantage - Powerful
• License means R can be used in whatever manner you
want
• Can be used as an analysis slave with other apps
• Native connectivity to many other systems, Excel, SAS,
Oracle.
• Enhance existing apps with stats
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantage - Support
• Little formal support
• 1,000s of Developers
• Very fast growing community 0-250 messages a day on r-
help in <10 years
• Bugs very quickly solved
• Commercial support available from Mango
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantage - Graphics
• Easy to create sometime complex statistical charts
• Production ready graphics
• Control over all aspects of graph
Matt Aldridge – CEO
matt@mango-solutions.com
Today’s Reasons for using R
Matt Aldridge – CEO
matt@mango-solutions.com
Classic Advantages of R Are Still Relevant
• Open
• Extensible
• Powerful
• Support
• Graphics
Matt Aldridge – CEO
matt@mango-solutions.com
Some advantages are more advantageous
than others…..
• Cost is still attractive but free software costs
money when deployed at scale
• Powerful was always a relative term
• User had ability to extend R and deploy powerfully
• Graphics, there are a host of other graphical
softwares that can be used today
Matt Aldridge – CEO
matt@mango-solutions.com
Reasons Why R is Ready for Enterprise
Deployment
• Architecture
• Stability and Maturity
• Ecosystem
• Market Presence
• New hires
Matt Aldridge – CEO
matt@mango-solutions.com
Reasons Why R is Ready
• Architecture
• R was developed for years for single use installations
• Developers not interested in IT installation
• Application is mature and in a steady state
• Latest releases (after 3.0.0) focus on providing a more
robust and stable environment
• Parallelisation – speeds up base R considerably
Matt Aldridge – CEO
matt@mango-solutions.com
Reasons Why R is Ready
• Stability and Maturity
• Class A packages promoted
• Methodology of package creation and deployment
• Mature test environments
• Solid Platform for extensions
• Availability through APIs
Matt Aldridge – CEO
matt@mango-solutions.com
Reasons Why R is Ready
• Ecosystem
• Methods to control spread and use
• Widely documented
• Companies offering plug ins – Shiny
• R is the glue for many new technologies
• Maturity of IDEs for R
Matt Aldridge – CEO
matt@mango-solutions.com
Reasons Why R is Ready
• Market Presence
• R is fastest growing analytics platform
• Large scale adoption across industries and across
functional areas, ie risk, trading, marketing functions in
Finance companies
• Many softwares using R as a third party stats tool e,g.
Microsoft, Qlik, Tableau, Oracle, Teradata
Matt Aldridge – CEO
matt@mango-solutions.com
Reasons Why R is Ready
• Next Generation Data Scientists
• Most universities are offering R as the sole technology
for maths based degrees and research
• Large population already coming into the workforce
having only used R
• Will get easier and easier to find skillset fit
Matt Aldridge – CEO
matt@mango-solutions.com
Selection of Enterprise R Users
Matt Aldridge – CEO
matt@mango-solutions.com
Summary
• R has typical open source history but:-
• Is now a stable IT platform
• Take up means that it is being used increasingly in
enterprise production environments
• Increasingly safe and future proofed choice for analytics
• Embedded into key standard IT technologies, Hadoop stack,
SQL Server 2016
• R is not only ready for the enterprise but is already being
deployed in widescale environments across the biggest
companies in the world

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Is R ready for the Enterprise

  • 1. Matt Aldridge – CEO matt@mango-solutions.com Is R Ready for the Enterprise?
  • 2. Matt Aldridge – CEO matt@mango-solutions.com Agenda • Data Science • Why was there a need for R • Classic Advantages of R • Today’s advantages – Is R now ready for the Enterprise • Summary
  • 3. Matt Aldridge – CEO matt@mango-solutions.com Data. Science.
  • 4. Matt Aldridge – CEO matt@mango-solutions.com Data Science • Analytics has long been a “reactive” industry • Businesses increasingly understand that the key to better decision making can be found in their data • The “Data Science” approach embodies a move towards analytics used in a proactive manner to drive decision-making
  • 5. Matt Aldridge – CEO matt@mango-solutions.com The Data Science Opportunity • Drive efficiencies and cost savings by putting data-driven insight into the hands of decision makers • Analytics can help to • Understand business drivers • Predict trends • Optimize business behaviours • Identify new opportunities
  • 6. Matt Aldridge – CEO matt@mango-solutions.com Key Data Science Component - R • Massive growth in usage and popularity • Grown from academic offshoot of S Language • Fastest Growing Programming Language
  • 7. Matt Aldridge – CEO matt@mango-solutions.com Why was there a need for R? • Existing technologies grown around commercial operations • Minimal innovation around stats and math • New techniques and methods taking years to reach softwares • Embedded stats within large scale softwares • Stats as an add on rather than central • Competitive advantage becoming crucial
  • 8. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantages of R • Open • Extensible • Powerful • Support • Graphics
  • 9. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantage - Open Source • Free! No license obligations • Backbone of the S language developed by AT&T Bell Labs • Core group supported by 1,000s of developers • Large take up in academia • New methods from research quickly integrated
  • 10. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantage - Extensible • Fast Growing Community • Platform independent • Architected as a central platform with addons • Verticalised approach to industries • If the algorithm doesn’t currently exist you can create it
  • 11. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantage - Powerful • License means R can be used in whatever manner you want • Can be used as an analysis slave with other apps • Native connectivity to many other systems, Excel, SAS, Oracle. • Enhance existing apps with stats
  • 12. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantage - Support • Little formal support • 1,000s of Developers • Very fast growing community 0-250 messages a day on r- help in <10 years • Bugs very quickly solved • Commercial support available from Mango
  • 13. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantage - Graphics • Easy to create sometime complex statistical charts • Production ready graphics • Control over all aspects of graph
  • 14. Matt Aldridge – CEO matt@mango-solutions.com Today’s Reasons for using R
  • 15. Matt Aldridge – CEO matt@mango-solutions.com Classic Advantages of R Are Still Relevant • Open • Extensible • Powerful • Support • Graphics
  • 16. Matt Aldridge – CEO matt@mango-solutions.com Some advantages are more advantageous than others….. • Cost is still attractive but free software costs money when deployed at scale • Powerful was always a relative term • User had ability to extend R and deploy powerfully • Graphics, there are a host of other graphical softwares that can be used today
  • 17. Matt Aldridge – CEO matt@mango-solutions.com Reasons Why R is Ready for Enterprise Deployment • Architecture • Stability and Maturity • Ecosystem • Market Presence • New hires
  • 18. Matt Aldridge – CEO matt@mango-solutions.com Reasons Why R is Ready • Architecture • R was developed for years for single use installations • Developers not interested in IT installation • Application is mature and in a steady state • Latest releases (after 3.0.0) focus on providing a more robust and stable environment • Parallelisation – speeds up base R considerably
  • 19. Matt Aldridge – CEO matt@mango-solutions.com Reasons Why R is Ready • Stability and Maturity • Class A packages promoted • Methodology of package creation and deployment • Mature test environments • Solid Platform for extensions • Availability through APIs
  • 20. Matt Aldridge – CEO matt@mango-solutions.com Reasons Why R is Ready • Ecosystem • Methods to control spread and use • Widely documented • Companies offering plug ins – Shiny • R is the glue for many new technologies • Maturity of IDEs for R
  • 21. Matt Aldridge – CEO matt@mango-solutions.com Reasons Why R is Ready • Market Presence • R is fastest growing analytics platform • Large scale adoption across industries and across functional areas, ie risk, trading, marketing functions in Finance companies • Many softwares using R as a third party stats tool e,g. Microsoft, Qlik, Tableau, Oracle, Teradata
  • 22. Matt Aldridge – CEO matt@mango-solutions.com Reasons Why R is Ready • Next Generation Data Scientists • Most universities are offering R as the sole technology for maths based degrees and research • Large population already coming into the workforce having only used R • Will get easier and easier to find skillset fit
  • 23. Matt Aldridge – CEO matt@mango-solutions.com Selection of Enterprise R Users
  • 24. Matt Aldridge – CEO matt@mango-solutions.com Summary • R has typical open source history but:- • Is now a stable IT platform • Take up means that it is being used increasingly in enterprise production environments • Increasingly safe and future proofed choice for analytics • Embedded into key standard IT technologies, Hadoop stack, SQL Server 2016 • R is not only ready for the enterprise but is already being deployed in widescale environments across the biggest companies in the world