ieg 201402 abiba war with r
DESCRIPTION
Information Excellence Group 2014 Spring "Business Analytics Industry Summit" ABIBA Presentation WAR in R from Dr. Jay B Simha, CTO, ABIBA TECHNOLOGIESTRANSCRIPT
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
ledg
e Po
tent
ial
Unk
now
nKn
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 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
Acquisition – Kmeans visualization
Acquisition – Kmeans visualization
Retention
Retention
Retention
Retention
Retention
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
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