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Practical Business Analytics Using SAS
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There is an ever-increasing need for advanced information and decision support systems in today’s fierce global competitive environment. The profitability and the overall business can be managed better with access to predictive tools—to predict, even approximately, the market prices of raw materials used in production, for instance. Business analytics involves, among others, quantitative techniques, statistics, information technology (IT), data and analysis tools, and econometrics models. It can positively push business performance beyond executive experience or plain intuition. Business analytics (or advanced analytics for that matter) can include nonfinancial variables as well, instead of traditional parameters that may be based only on financial performance. Business analytics can effectively help businesses, for example, in detecting credit card fraud, identifying potential customers, analyzing or predicting profitability per customer, helping telecom companies launch the most profitable mobile phone plans, and floating insurance policies that can be targeted to a designated segment of customers. In fact, advanced analytical techniques are already being used effectively in all these fields and many more. This chapter covers the basics that are required to comprehend all the analytical techniques used in this book.
Venkat Reddy Konasani and Shailendra Kadre - Personal Name
978-1-4842-0043-8
NONE
Information Technology
English
2015
1-565
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