IEG 201402 ABIBA WAR with R

ABIBA:

WAR with R

Dr Jay B Simha

Advanced Business Intelligence and Business Analytics

WAR with RPower of open source!!

Jay B.Simha

An year of active research in Artificial Intelligence is sufficient for any body to believe in god

Alan J.PerlisMIT – AI genius

Why Analytics?

Creativity Risk

Opportunity LossDomain Experts

Knowledge Competence

Know

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ial

Unk

now

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own

UnknownKnown

What is WAR?

ACQUIRE

WALLET SHARE RETENTION

Types of Analysis required

Profiling • Who are my customers? Where they live? • How is the responder’s concentration,?• What behavioral similarity is there in segments?

Diagnostics• What makes some thing to happen? • What caused a particular effect?

Predictive• Who will respond to my next offer?• Who will not recharge next month and why?

Prescriptive• What is the best offer for a group of customers?• Which is the best campaign for this customer

How R can be used?

ACQUIRE

WALLET SHARE RETENTION

Decision tree/SVMSOM/K-means models/Random forests

SOM/K-means models

WAR Applications

Acquisition Retention Wallet Share

Telecom × × ×Retail × × ×Banking × ×Insurance × × ×Hospitality × × ×Education × ×

Methods for Madness

SEMMA

CRISP DM

KDD

A KISS approach for modeling

+SEMMA

What tools are needed with R

RWeka

Free Community Edition

Rule based scoring

Build any whereScore anywhere

The new lord Ganesha!!

Acquisition process

Acquisition

Build model on this

Test model on this

Acquisition

K-means clusteringSelf Organizing Maps

Exploratory Methods

Cross tabs/Pivots

Acquisition – Simulated data

Acquisition - SOM

Acquisition – SOM visualization

Acquisition - Kmeans

Acquisition – Kmeans visualization

Retention

Wallet Share (X-Sell)

Take away

• Data modeling and preprocessing is most important

• All models are not equal• Few techniques are enough for WAR modeling• R and its friends are more than sufficient for

most of the cases• Analytics is fun..Enjoy

Take away

• Thanks to all people whom I can not thank individually who shared their expertise, slides, data and comments

• All mistakes are mine, if you find any, in this talk or preso

Community Focused

Volunteer Driven

Knowledge Share

Accelerated Learning

Collective Excellence

Distilled Knowledge

Shared, Non Conflicting Goals

Validation / Brainstorm platform

Mentor, Guide, Coach

Satisfied, Empowered Professional

Richer Industry and Academia

About Information Excellence Group

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Have you enriched yourself by contributing to the community Knowledge Share..

IEG 201402 ABIBA WAR with R

Business

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