This book is about Business Analytics (BA)—an emerging area in modern business decision making. The first part provides an overview of the field of Business Intelligence (BI) that looks into historical data to better understand business performance thereby improving performance, and creating new strategic opportunities for growth. Business analytics (BA) is about anticipated future trends of the key performance indicators used to automate and optimize business processes. The three major categories of business analytics—the descriptive, predictive, and prescriptive analytics along with advanced analytics tools are explained. The flow diagrams outlining the tools of each of the descriptive, predictive, and prescriptive analytics are presented. We also describe a number of terms related to
business analytics.
Author(s): Amar Sahay
Series: Volume 1
Edition: 1
Publisher: Business Expert Press, LLC
Year: 2018
Language: English
Pages: 244
City: New York
Tags: Business Analytics, Business Intelligence, Data Science, Mathematics
Cover
Contents
Preface
Acknowledgments
Part I: Foundations of Business Analytics (BA)
Chapter 1: Business Analytics (BA) at a Glance
Chapter 2: Business Intelligence (BI), Business Analytics (BA), and Data Analytics
Part II: Descriptive Analytics
Chapter 3: Data, Data Types, and Descriptive Statistics
Chapter 4: Descriptive Analytics: Data Visualization
Chapter 5: Data Visualization with Big Data
Chapter 6: Basic Analytics Tools: Describing Data Numerically—Concepts and Computer Analysis
Chapter 7: Wrap-up, Cases, and Notes on Implementation
References
Additional Readings
About the Author
Index
Adpage
Backcover
