Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Chapter 12 business intelligence. This chapter presents the following content: Managers and decision making; the business analytics process; business analytics tools; business analytics models: descriptive analytics, predictive analytics, and prescriptive analytics. | 16-12-09 INFORMATION SYSTEMS Supporting and Transforming Business Fourth Canadian Edition RAINER • PRINCE • SPLETTSTOESSER • SÁNCHEZ-RODRÍGUEZ CHAPTER 12 Business Intelligence and Analytics CHAPTER OVERVIEW • 12.1 Managers and Decision Making • 12.2 What Is Business Intelligence? • 12.3 Business Intelligence Applications for Data Analysis • 12.4 Business Intelligence Applications for Presenting Results 1 16-12-09 LEARNING OBJECTIVES 1. Identify the phases in the decision-making process, and use a decision-support framework to demonstrate how technology supports managerial decision making. 2. Describe and provide examples of the three different ways in which organizations use business intelligence (BI). 3. Specify the BI applications available to users for data analysis, and provide examples of how each can be used to solve a business problem at your university. LEARNING OBJECTIVES (CONTINUED) 4. Describe three BI applications that present the results of data analyses to users, and offer examples of how businesses and government agencies can use each of these applications. CASE 12.1 CHAPTER OPENING CASE TORONTO RAPTORS USES BI The Problem It is difficult to hire the right player for an athletic team such as the Raptors and the wrong decision can result in both playing losses and revenue losses Paper and Excel-based player data was difficult to share and use by both on-site and off-site managers 2 16-12-09 CASE 12.1 CHAPTER OPENING CASE TORONTO RAPTORS USES BI The IT Solution IBM’s Sports Insights Central with Watson Tradeoff Analytics using artificial intelligence were adopted Data mining software Alchemy API was used to query the player data An associated phone app was used so management could access player data remotely CASE 12.1 CHAPTER OPENING CASE TORONTO RAPTORS USES BI The Results Reduction of paperwork Ready access to updated data Better access to data for decision-making about player hires and trades CASE 12.1 CHAPTER OPENING .
