Đang chuẩn bị liên kết để tải về tài liệu:
Lecture Management information systems - Chater 5: Data resource management

The learning objectives for Chapter 5 include: Explain the business value of implementing data resource management processes and technologies in an organization; outline the advantages of a database management approach to managing the data resources of a business, compared to a file processing approach; explain how database management software helps business professionals and supports the operations and management of a business. | Data Resource Management Chapter 5 Explain the business value of implementing data resource management processes and technologies in an organization. Outline the advantages of a database management approach to managing the data resources of a business, compared to a file processing approach. Learning Objectives Learning Objectives Explain how database management software helps business professionals and supports the operations and management of a business. Provide examples to illustrate each of the following concepts: Major types of databases. Data warehouses and data mining. Logical data elements. Fundamental database structures. Database development. Why Study Data Resource Management? Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external environment. Data Resource Management Definition: A managerial activity that applies information systems technologies to the task of managing an organization’s data resources to . | Data Resource Management Chapter 5 Explain the business value of implementing data resource management processes and technologies in an organization. Outline the advantages of a database management approach to managing the data resources of a business, compared to a file processing approach. Learning Objectives Learning Objectives Explain how database management software helps business professionals and supports the operations and management of a business. Provide examples to illustrate each of the following concepts: Major types of databases. Data warehouses and data mining. Logical data elements. Fundamental database structures. Database development. Why Study Data Resource Management? Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external environment. Data Resource Management Definition: A managerial activity that applies information systems technologies to the task of managing an organization’s data resources to meet the information needs of their business stakeholders Case #1: Data Warehouse Challenges Goal: Bring all customer data together to enhance management’s view of operations Potentially help strengthen customer relationships Case #1: Data Warehouse Challenges Planning: Consistent definitions for all data types Centralized or decentralized architecture Data warehouse foundation must be expandable to meet growing data streams and information demands Case #1: Data Warehouse Challenges What is the business value of a data warehouse? Use Argosy Gaming as an example. Why did Argosy use an ETL software tool? What benefits and problems arose? How were they solved? Case #1: Data Warehouse Challenges What are some of the major responsibilities that business professionals and managers have in data warehouse development? Use Argosy Gaming as an example. Why do analysts, users, and vendors say that the benefits of data warehouses depend on whether companies “know their data resources and what they .