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. Data visualization involves presenting the data visually or graphically to detect patterns, trends, and correlations that are not usually apparent from the raw data. The trends and the patterns in the data cannot be recognized and they go undetected if not in the visual form. Data visualization is an integral part of business intelligence (BI). Most of the BI application software heavily emphasize on data visualiza­tion and have strong data visualization capabilities. One of the reasons for the popularity of visualization tools is that they are easier to use and comprehend and do not require extensive training as in the case of sta­tistical software.

• Predictive analytics
• IT management
• Data mining
• Business analysis
• Quantitative analysis
• Organizational learning