When R wins and Why

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Analytical People

(When and) Why R wins

EARL Conference

16 th September 2014

John McConnell – Analytical People

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Information and

Data Management

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Contents

• Background

• Winning cases

• The future?

Analytical People

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Background

• It isn’t that R is always directly competing with the usual suspects (SAS, IBM, etc.)

• There are situations when it is the clear choice because of cost of/access to … other software

• There are times when structurally it just fits

– E.g. We want to distribute a gadget/app/tool in an open source style

– R provides “Analytical Duct Tape*” to fill in the gaps

• Cost is an issue but we believe that it applies most directly to the cost of specific functionality (often algorithms)

*This is how we have heard Oracle refer to using R particularly R packages outside their own distribution of it

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AP is an services firm using a variety of analytical tools

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Algorithms – “killer” … or commodity?

R has commoditised many algorithms to the point where “value” (and fees) are based on other attributes like quality assurance and productivity

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Case 1 – Have coders … can code

At its core R – as we all know is a powerful, and flexible, programming language

© HBO

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But what about other roles? And workflow/process?

1.Business

Understanding

Business

• Domain

• Subject Matter

Analytical

• Methodologies

• What to use when

Data

• Management

• Structure

Technology

• Integration

• Building apps

6.Deployment

5.Evaluation

2.Data

Understanding

3.Data

Preparation

4.Modelling

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The R “Red Hats” add value here

Companies like Revolution Analytics who provide tools, licenses and other services as a layer on top of R

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Case 2 – We need an algorithm

Typically software vendors (but also in-house developers)

Many have software that isn’t primarily analytical but which requires analytical components

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Case 3 – We need analytics for Apps

GENIE is an on-line app we developed with Liverpool Council

Housing Department

Implementing a Sustainability Index co-developed by:

• Oxford University

• Audit Commission

• Liverpool John Moores

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Case 4 – We need to scale analytics - The “R paradox”

… Versus …

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Case 2 and Case 4

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Case 2 and Case 4

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Case 2 and Case 4

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The Future

• More packages

• More apps

• More interfaces for other user types

– E.g. For Business Users

• More platform integration

– E.g. to deployment platforms

• All-in-all more support for the analytical process

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Analytical People

Thanks for listening

EARL Conference

16 th September 2014

John McConnell – Analytical People

Information and

18

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