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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
Tools
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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 FREE CHAPTER 2. Forecasting Stock Prices and Portfolio Decisions using Time Series 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

MBA business problem

A retail bank wanted to understand the products and services that it should try to cross-sell to its customers. The number of new customers joining the bank had reduced due to a general economic slowdown, primarily caused by fewer customers switching providers. Management decided that effective cross-selling was the key to increasing revenues. In the past, there had been continuous attempts at cross-selling. Most of these attempts were supported by some form of analysis, but the success rate of the customer campaigns to cross-sell had been lower than expected. Management wanted to take a comprehensive approach, and rely on multiple strategies and methodologies, if necessary, to drive cross-selling. To understand customer purchase behavior, MBA was proposed as one of the analysis methodologies.

By conducting the analysis, management wanted to explore the affinity...

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