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)

Transforming Time Series – Market Basket and Clustering

In the first chapter, we defined time series and spoke about their merits. In this chapter, we will expand our understanding of time series data and whether it can be transformed to extract more insights by conducting a couple of other analysis methodologies not yet introduced in this book. We will leverage market basket analysis and segmentation using clustering to solve business problems. Both methodologies help generate insights from products and services that customers have bought.

We will be covering the following topics:

  • The role of market basket analysis and segmentation via clustering
  • A market basket business problem, data preparation, assumptions, and analysis
  • A segmentation business problem