Business Analytics: A Data-Driven Decision Making Approach for Business

Business Analytics: A Data-Driven Decision Making Approach for Business-Part I provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: descriptive, predictive, and prescriptive analytics with their tools and applications in business.

This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance.

The highlights of this volume are:

• Business analytics at a glance
• Business intelligence (BI), data analytics
• Data, data types, descriptive analytics
• Data visualization tools
• Data visualization with big data
• Descriptive analytics-numerical methods
• Case analysis with computer applications

Ancillary data sets and more available for downloading on the publisher's website.

Dr. Amar Sahay is a professor engaged in teaching, research, consulting, and training. He has a BS in production engineering from Birla Institute of Technology, India, an MS in industrial engineering and a PhD in mechanical engineering, - both from University of Utah. He has taught/is teaching at several Utah institutions including the University of Utah, school of engineering and management, SLCC, Westminster college, and others. Amar is a certified Six Sigma Master Black Belt and holds expert-level certification in lean manufacturing / and lean management. He has contributed over 30 research papers in national and international conferences. Amar is the author of 11 books and is a senior member of Industrial & Systems Engineers, American Society for Quality, and Data Science Central.