You will also be able to compare and contrast the benefits of using balanced scorecard versus using Six Sigma in a performance measurement system.
In lesson 3, you will learn the four balanced scorecards perspectives and the differences between dashboards and scorecards. 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. You will learn the main components of BPM as well as the four phases of BPM cycle and how organizations typically deploy BPM. This module focuses on how BI is used for Business Performance Management (BPM). In order to be successful in this course, you should have either completed Course 3 of the Data Warehousing for Business Intelligence Specialization or have some prior experience with data visualization and document management. This course is intended for business and computer science university students, IT professionals, program managers, business analysts and anyone with career interests in business intelligence. 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. 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. The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors.
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. In essence, the benefit of a data warehouse is continuous improvement.īy the end of the course, you will be able to enhance Conformity And Quality of Data by gaining the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges. The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision making. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining. Ideally, the courses should be taken in sequence. This is the fourth course in the Data Warehouse for Business Intelligence specialization.