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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/business-intelligence-tools
课程评论：没有评论
课程名称：商业智能概念、工具与应用 课程概述：这是商业智能数据仓库专门化的第四门课程。理想情况下，这些课程应按顺序进行学习。在本课程中，您将获得利用数据仓库进行商业智能的知识和技能，并为担任商业智能开发人员做好准备。您将有机会在数据仓库环境中处理大型数据集，并学习使用MicroStrategy的在线分析处理（OLAP）和可视化功能来创建可视化和仪表板。 课程内容概述了商业智能技术如何支持各行业的决策。这些技术对企业战略、绩效和竞争力产生了深远的影响，广泛涵盖了决策支持系统、商业智能系统和可视化分析。模块围绕商业智能的概念、工具和应用，以及数据仓库在商业报告和在线分析处理、可视化和仪表板创建以及商业绩效管理和描述性分析中的使用进行组织。 课程大纲： 1. **决策与决策支持系统**：介绍计算机在决策支持中的角色及其重要性，涵盖管理者面临的决策类型、决策过程及DSS的相关应用。 2. **商业智能概念与平台能力**：定义商业智能及其架构，探讨商业报告的构成及OLAP的应用，利用MicroStrategy进行数据可视化分析。 3. **数据可视化与仪表板设计**：学习数据可视化的类型和最佳实践，以及仪表板的设计原则和常见问题，利用MicroStrategy设计金融服务公司的仪表板。 4. **商业绩效管理系统**：探讨BI在商业绩效管理中的应用，学习绩效测量系统及平衡计分卡的构建，结合可视化和商业分析创建仪表板。 5. **BI成熟度、战略与总结项目**：了解BI的不同成熟度水平、影响因素及解决方案，实施BI战略的成功关键因素，最终项目使用MicroStrategy进行快餐公司的KPI分析。 通过本课程，您将为在商业智能领域的职业发展打下坚实的基础。
Part: 1
Title:Decision Making and Decision Support Systems
Description: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.
Part: 2
Title:Business Intelligence Concepts and Platform Capabilities
Description:Now that you understand the conceptual foundation of decision making and DSS, in module 2 we start by defining business intelligence (BI), BI architecture, and its components, and relate them to DSS. In lesson 2, you will learn the main components of BI platforms, their capabilities, and understand the competitive landscape of BI platforms. In lesson 3, you will learn the building blocks of business reports, the types of business reports, and the components and structure of business reporting systems. Finally, in lesson 4, you will learn different types of OLAP and their applications and comprehend the differences between OLAP and OLTP. You will need to use MicroStrategy Desktop to create effective and compelling data visualizations to analyze data and acquire insights into business practices in a peer-evaluated exercise.
Part: 3
Title:Data Visualization and Dashboard Design
Description:This module continues on the top job responsibilities of BI analysts by focusing on creating data visualizations and dashboards. You will first learn the importance of data visualization and different types of data that can be visually represented. You will then learn about the types of basic and composite charts. This will help you to determine which visualization is most effective to display data for a given data set and to identify best practices for designing data visualizations. In lesson 3, you will learn the common characteristics of a dashboard, the types of dashboards, and the list attributes of metrics usually included in dashboards. Finally, in lesson 4, you will learn the guidelines for designing dashboard and the common pitfalls of dashboard design. You will need to use MicroStrategy Desktop Visual Insight to design a dashboard for a Financial Services company in a peer-evaluated exercise.
Part: 4
Title: Business Performance Management Systems
Description:This module focuses on how BI is used for Business Performance Management (BPM). You will learn the main components of BPM as well as the four phases of BPM cycle and how organizations typically deploy BPM. In lesson 2, you will learn the purpose of Performance Measurement System and how organizations need to define the key performance indicators (KPIs) for their performance management system. In lesson 3, you will learn the four balanced scorecards perspectives and the differences between dashboards and scorecards. You will also be able to compare and contrast the benefits of using balanced scorecard versus using Six Sigma in a performance measurement system. Finally, in lesson 4, you will learn the role of visual and business analytics (BA) in BI and how various forms of BA are supported in practice. At the end of the module, you will apply these concepts to create a dashboard, blend it with external datasets, and explore various visualization capabilities to find insights faster in a peer-evaluated exercise.
Part: 5
Title:BI Maturity, Strategy, and Summative Project
Description:Module 5 covers BI maturity and strategy. You will learn different levels of BI maturity, the factors that impact BI maturity within an organization, and the main challenges and the potential solutions for a pervasive BI maturity within an organization. The last lesson will focus on the critical success factors for implementing a BI strategy, BI framework, and BI implementation targets. Finally, in your summative project, you will use MicroStrategy visual analytics capabilities to analyze KPIs for a fast food company to find the causes for problems .
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.
