A dashboard is a powerful business tool that is designed to provide information depending on the need of each user and what they need to view, analyze, and share.
Microsoft Dynamics 365 dashboards comprise collections of view lists, charts, web resources, iFrames, and organizational insights that let you see how you and your team are doing, based on key metrics.
As helpful as dashboards can be to an organization, more can be achieved by embedding Power BI directly into your Dynamics 365 dashboards.
Power BI is a business intelligence solution that can be combined with Dynamics 365 to provide a more robust tool that is very helpful in reporting and analysis. Power BI is a great tool for visualizing data in Dynamics 365, as it allows you to easily access and analyze your sales, service, or marketing data in the organization. It is also available as a cloud-based service in Office 365.
Power BI simplifies the process of extracting and presenting data in dynamic and interactive data visualizations, all through easy drag-and-drop functionality. One good thing is that you can implement it in Dynamics 365 without writing any code.
Let us discuss how one can integrate Power BI charts and data visualizations into Microsoft Dynamics 365 dashboards.
Before attempting to add Power BI to Dynamics 356 dashboard, users must be able to access Power BI and to have at least one Power BI dashboard to reference. This is because we need a Power BI dashboard to import into Dynamics 365.
To do this, we are going to connect to one of the Content Packs made for Dynamics 365 inside Power BI (a content pack is a collection of related documents or files that are stored as a group in Power BI that are related to a service).
Now that we have successfully imported our content packs into Dynamics 365, we can enable and start adding Power BI to our dashboard.
To add Power BI to our dashboard in Dynamics 365, we must make sure Power BI is enabled on it. To do this,
Clicking on various dashboard tiles will take you to Power BI report, where you can further drill down into the data.
Original Source SherWeb Blog