Archive

Posts Tagged ‘Customer Behaviors’

Mapping customer behaviors for segmentation

How can high dimensional data be visualized, so as view similarities, detect groups, and find outliers? In this example, we analyze customer data from a bank, and project records onto a 2D self-organizing map to achieve customer segmentation. We also explain how the same technique can be applied to other types of data.

Analyzed data:

The following anonymized variables were made available by a bank:

  • Age
  • Income
  • Number of cars
  • Number of children
  • Sex
  • Region (ex: city)
  • Married
  • Credit limit
  • Opened a savings account
  • Checking account balance
  • Customer since (in months)
  • Number of support calls
  • Mortgage loan
  • Defaulted on payment

  Read more…

Advertisements