Business Analytics, Volume I

Business Analytics: A Data-Driven Decision Making Approach for BusinessPart I provides a foundational overview of business analytics (BA) and business intelligence (BI), elucidating their crucial role in contemporary business decision-making. The book explores these domains, categorizing analytics into three primary types: descriptive, predictive, and prescriptive, detailing their respective tools and business applications.This initial volume concentrates on descriptive analytics, emphasizing the application of descriptive, visual, and graphical methodologies. It examines numerical methods, data analysis instruments, big data applications, and the utilization of data dashboards to facilitate a comprehensive understanding of business performance. This understanding enables stakeholders, including the **experienced trader**, to make more informed decisions.Key features of this volume include: A concise introduction to business analytics An exploration of business intelligence (BI) and data analytics A discussion of data, data types, and descriptive analytics An overview of data visualization tools Guidance on data visualization with big data A review of descriptive analytics using numerical methods Case analysis using computer applications About the AuthorDr. Amar Sahay is a Professor of Decision Sciences involved in teaching, research, consulting, and training. He earned a BS in Production Engineering (BIT, India), an MS in Industrial Engineering, and a PhD in Mechanical Engineering from the University of Utah. He has taught at various institutions in Utah, including the University of Utah (School of Engineering and Management), SLCC, and Westminster College. Dr. Sahay is a certified Six Sigma Master Black Belt and holds lean manufacturing/lean management certifications. He has published numerous research papers in national and international journals/proceedings and has authored approximately ten books in data visualization, **business analytics**, Six Sigma, statistics and data analysis, modeling, and applied regression. He is also affiliated with QMS Global LLC, providing services in data visualization, analytics, quality, lean six sigma, manufacturing, and systems analysis. Dr. Sahay is a senior member of the Industrial & Systems Engineers, the American Society for Quality (ASQ), and Data Science.