In your application, create the AppData/Dashboards folder that will store dashboards. 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. In Visual Studio, create an ASP.NET Core 3.1+ application. 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. 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. Designed for self-service BI, Wyn's offers limitless visual data exploration, allowing the everyday user to become data-driven. Learn about the top BI challenges, and get advice on how to. They can create custom dashboards with KPIs relevant to their areas of focus and share the goals and performance details. OLAP (On-line Analytical Processing) and data mining, they create a new generation. Results: Company executives and managers now have instant access to the business data they need to act proactively. Last years Business Intelligence (BI) technology in particular has. 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. Wyn is a seamless embedded business intelligence and analytics tool. The business intelligence challenges faced by BI teams on deployments include a combination of technical and project management issues. Solution: Managers and executives used business intelligence tools to create standard and ad hoc reports. 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). 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 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. Ideally, the courses should be taken in sequence. This is the fourth course in the Data Warehouse for Business Intelligence specialization.