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所在平台: CourseraArchive 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/archive/business-intelligence-tools
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University of Colorado System
Module 1 explains the role of computerized support for decision making and its importance. It starts by identifying the different types of decisions managers face, and the process through which they make decisions. It then focuses on decision making styles, the four stages of Simon’s decision making process, and common strategies and approaches of decision makers. In the next two lessons, you will learn the role of Decision Support Systems (DSS), understand its main components, the various DSS types and classification, and how DSS have changed over time. Finally, in lesson 4, we focus on how DSS supports each phase of decision making and summarize the evolution of DSS applications, and on how they have changed over time. I recommend that you go to Ready Made DSS sites and use some of DSS that are listed for various types of decisions. You will need to install MicroStrategy Desktop to analyze three stand-alone offline dashboards in a peer evaluated exercise.
This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards. The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.