個案資料

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), which uses historical data to better understand and thereby improve business performance, as well as create 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 various terms related to business analytics. The second part of the book is about descriptive analytics and its applications. It discusses Data, Data Types and Descriptive Statistics, Data Visualization, Data Visualization with Big Data, Basic Analytics Tools: Describing Data Numerically-Concepts and Computer Applications. Finally, it presents an overview and a case on descriptive statistics with applications and notes on implementation. Chapter 2 discusses analytics, business intelligence (BI) and business analytics (BA) as decision-making tools in businesses today. Although these terms are used interchangeably, there are slight differences in the terms of the tools they use. The connection between BI and BA tools combined with the applications in the computer science and information technology are critical for the success of BA in a company. This chapter discusses the broad meaning of the terms-BI, BA, data analytics (DA), computer and information technology, and how they are used in business decision making. The chapter also distinguishes between BI and BA, and the specific tools used in each case. provides an overview of business analytics and why these techniques are important.

• Data mining
• Quantitative analysis
• Business analysis
• Organizational learning
• Business intelligence
• Predictive analytics