Model aggregate data – Visualpath

1. Model aggregate data – Visualpath Prerequisites This tutorial requires you to access the environment using Remote Desktop, and be provisioned as an administrator. For more information, see the topic named Deploy and access development environments. Key concepts  Aggregate measurements, similar to perspectives and Cubes from earlier versions, enable you to model and consume aggregate data.  Key Performance Indicators (KPIs) are a form of analytic controls that track organizational performance against the current status. KPIs are represented as tiles in a workspace or the dashboard. In this tutorial, you will model a KPI in Visual Studio.  KPIs that are modeled in Visual Studio can be modified in the client. A user also has the ability to model new KPIs using the client.  A workspace is an overview page that is specific to a particular subject area. Workspaces are common to all users.  The dashboard is the default home page for each user.  Tiles are securable objects that can be pinned to a workspace or the dashboard. KPIs and aggregate data that are shown on the dashboard, or a workspace, can be secured by using menu items.  Aggregate data can be consumed in building charts and other controls. Using the model driven approach, you have the ability to create data entities by directly referencing aggregate measurements and aggregate dimensions. These entities are referred to as Aggregate data entities. Aggregate data entities are read-only data entities used for reporting purposes.  The aggregate programming model enables a developer to consume aggregate data programmatically using either X++ or C# code. Data retrieved using the aggregate programming model can be used as a data source in forms.  Method expressions enable a developer to build rich expressions using aggregate data. Method expressions are an X++ class. KPIs can be modeled using method expressions, thereby eliminating the need to build MDX expressions.  Contextual BI refers to providing required insights as part of the user experience such that the user has relevant insights to not only achieve the task at hand, but be highly- productive during the course of the day.  Embedded BI refers to analytic content being embedded within the user experience. Contextual BI and embedded BI teams are closely related. Contextual BI implies the added notion that the context of analytic context revolves around the data or the task.  Self-service BI refers to enabling a user to tweak existing and/or create new analytic content such as reports, KPIs, and dashboards.

2. Set up If this is the first tutorial you are working on, make sure you have configured the administrator user if you are running on a local VM. Open the tutorial project 1.In Visual Studio, open the FMTutorial project. On the File menu, point to Open, and then click Project/Solution. 2.In the Open Project dialog box, browse to C:\FMLab\FMTutorial, and then click FMTutorial. Click Open. The FMTutorial project appears in Solution Explorer. 3.Use the FMTDataHelper class to load data for the Fleet Management tutorial. In Solution Explorer, in the FMTutorial project, expand Classes. Right-click FMTDataHelper, and then click Set as Startup Object. 4.On the Build menu, click Rebuild Solution. You use the rebuild to update the timestamps of the imported artifacts. You can view the build progress in the Output window. 5.Press Ctrl+F5 to run the project and load the data. For more information Click Here Contact us: 9989971070