Predictive analytics

www.kreara.com | info@kreara.com
GTech Focus Group of Technology
Seminar on Business Intelligence
July 19th 2012

PREDICTIVE ANALYTICS



Definition

“Predictive analytics encompasses a
variety of statistical techniques from
modeling, machine learning, data
mining and game theory that analyze
current and historical facts to make
predictions about future events”

- Wikipedia



Applications

 Actuarial science
 Marketing
 Financial services
 Insurance
 Telecommunications
 Retail
 Travel
 Healthcare
 Pharmaceuticals



The Process

 Business Understanding
 Data Understanding
 Data Preparation
 Modeling
 Evaluation
 Deployment



Different Models

 Predictive Models
“This last transaction could be a fraud”

 Descriptive Models
“Bachelors and spinsters in Technopark are likely
to buy their lover a smart phone which costs
between Rs 5000 -10000 as a birthday gift when
they don’t mind spending Rs 35000 for their own
phone ”

 Decision Models
“Your credit score is 1/10 based on the model.
Looks like you never pay your credit card bills  ”



Different Applications

 Analytical customer relationship management
 Clinical decision support systems
 Underwriting
 Collection analytics
 Risk management
 Cross-sell
 Portfolio, product or economy-level prediction
 Customer Retention
 Direct marketing
 Fraud detection



Regress your data



Different Tools

SAS
IBM
SPSS
SAP Business Objects
FICO
TIBCO Spot fire
STATSOFT
R


Predictive analytics

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