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