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SAS for Finance

You're reading from   SAS for Finance Forecasting and data analysis techniques with real-world examples to build powerful financial models

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788624565
Length 306 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Toc

Table of Contents (9) Chapters Close

Preface 1. Time Series Modeling in the Financial Industry 2. Forecasting Stock Prices and Portfolio Decisions using Time Series FREE CHAPTER 3. Credit Risk Management 4. Budget and Demand Forecasting 5. Inflation Forecasting for Financial Planning 6. Managing Customer Loyalty Using Time Series Data 7. Transforming Time Series – Market Basket and Clustering 8. Other Books You May Enjoy

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...

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