Information Technology for Management, 11th Edition

CHAPTER 3Data Management, Data Analytics, and Business Intelligence

CHAPTER OUTLINE

1. Case 3.1 Opening Case: Coca-Cola Strategically Manages Data to Retain Customers and Reduce Costs
2. 3.1 Data Management and Database Technologies
3. 3.2 Centralized and Distributed Database Architectures
4. 3.3 Data Warehouses
5. 3.4 Data Analytics and Data Discovery
6. 3.5 Business Intelligence and Electronic Records Management
7. Case 3.2 Business Case: Big Data Analytics is the “Secret Sauce” for Revitalizing McDonald’s
8. Case 3.3 Video Case: Verizon Improves its Customer Experience with Data-Driven Decision-Making

LEARNING OBJECTIVES

1. 3.1 Describe the purpose and benefits of data management and how database technologies help support business processes.
2. 3.2 Describe the differences between centralized and distributed database architectures and the importance of creating and maintaining data that can be trusted.
3. 3.3 Understand the concepts of data analytics and data warehousing and evaluate their tactical and strategic benefits.
4. 3.4 Explain benefits of data and text mining and business intelligence and how they benefit an organization.
5. 3.5 Describe electronic records management and how it helps companies to meet their compliance, regulatory, and legal obligations.

Introduction

As discussed in Chapter 2, collecting and maintaining trusted data is a critical aspect of any business. Knowing how and where to find data, store it efficiently, analyze it in new ways to increase the organization’s competitive ...