<span>This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes.</span><p><span>It provides a comprehensive overview of analytics in general with
Business Analytics: A Data-Driven Decision Making Approach for Business
β Scribed by Amar Sahay
- Publisher
- Business Expert Press, LLC
- Year
- 2018
- Tongue
- English
- Leaves
- 244
- Series
- Volume 1
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is about Business Analytics (BA)βan 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 analyticsβthe 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.
β¦ Table of Contents
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 NumericallyβConcepts and Computer Analysis
Chapter 7: Wrap-up, Cases, and Notes on Implementation
References
Additional Readings
About the Author
Index
Adpage
Backcover
β¦ Subjects
Business Analytics, Business Intelligence, Data Science, Mathematics
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