iisastr.com

Modeling data for Marketing , Risk and Customer Relationship Management

More  detail visit http://www.iisastr.com

contact  at : 9312506496

Explore the inner workings of data mining techniques  for  Modeling   data   for   Marketing , Risk   and Customer   Relationship  Management :Using  SAS and how to make them work for you.

Learn how to

Modeling   data   for   Marketing , Risk   and Customer   Relationship  Management :Using  SAS
Who should attend

Business analysts, their managers, and statisticians

Duration:36 hours

Course Content:

1.Defining the goal,Profile analysis,Segmentation,Response,Risk

Activation,Cross sell and Upsell,Attrition,Net present value

Lifetime value

2.Choosing the modeling methodology

Liner Regression,Logistic regression,Hiring and team work

Product focus versus customer focus

3.Selecting the data sources

Source of data,Internal sources,External sources,Selecting Data for modeling

Data for prospecting,Data for customer Models,Data for Risk Models

Constructing the modeling data set,How big should my sample be?

Sampling method,

4. Preparing for data modeling

Accessing the data,Classifying data,Reading raw data

Creating the Modeling data set,Sampling,Cleaning the data

Continuous Variable,Categorical variables

5.processing and evaluating model

Processing the data,Splitting the data

Method 1: One model,Method 2:two model –response

Two model activation,Comparing method 1 and method 2

.validating the model,Implementing and maintaining the model

Implementing the modeling,Optimizing customer profitability

Retaining customers proactively
6.Understanding  your  customer :profiling  and  segmentation

What is the  importance  of understanding   your  customers?

Types  of profiling and  segmentation

RFM  analysis penetration analysis

Developing a  customer value matrix   for  a  credit

Card  company

Customer value  analysis

Performing cluster analysis   to  discover   customer   segments

Targeting  new prospects: Modeling Response

7. Avoiding High –Risk customers :Modeling Risk

Credit  scoring   and Risk Modeling

Defining  the  objectives

Preparing  the  variables

Processing  the  model

Validating the   model

Bootstrapping

Implementing the  model

Scaling the Risk score

A different  kind  of  Risk: fraud

8.Retaining  the profitable customers: Modeling churn

9.Targeting profitable   customers: Life time value

10. web mining  and  modeling

More  detail   visit http://www.iisastr.com

contact  at : 9312506496

Tags: Customer Relationship Management using sas, market research using sas, Modeling data for Marketing, Modeling data for crm, Modeling data for Customer Relationship Management, Modeling data for Risk management using sas, Modeling data for risk management, risk management using sas

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