Book Image

SAS for Finance

By : Harish Gulati
Book Image

SAS for Finance

By: Harish Gulati

Overview of this book

SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data. SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs. By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data.
Table of Contents (9 chapters)

Segmentation suitability in the current scenario

Prof Cox asked the trio what the output they desired from the segmentation exercise was. They said that it would be best if the data provided the clue. "Fair enough point", said the professor. Segmentation is a discovery exercise rather than a prediction exercise. She asked her question in a different way. Of the following, what is it that you wish to achieve?

  1. Understanding how many different types of Vogue customer exist
  2. How these customer types are different from each another
  3. This segmentation of both existing and past customers
  4. Clustering based on a combination of demographic, psychographic, and transactional behavior
  5. A manageable number of clusters that don't leave the business with too few or too many clusters

The trio replied in the affirmative to all the preceding objectives. Prof Cox said that she hoped...