- Using Microsoft Power BI Desktop to build Dynamics CRM Online reports – Part 1 – Introduction
- Using Microsoft Power BI Desktop to build Dynamics CRM Online reports – Part 2 – Using option sets in reports
In this example I will outline how you can track insurance sales and show sales on a map using the address of the insurance broker. The base table to use is the SalesOrderSet which contains all sold insurance products. Next we need to know which channel was used to sell the product, the SalesOrderSet contains a field rdiac_Intermediary.Id which contains the identifier of the intermediary for which the details can be found in the AccountSet.
In PowerPivot for Excel you could create relationships by dragging a link from one table in your model to another – in Power BI Designer you should use the “Manage RelationShips” button in the ribbon – next you define the type of relationship in the dialog window – by selecting the field in the source table and next selecting the field in the destination table. Afterwards we do the same to show the types of intermediary (broker or agent).
The AccountSet table contains a city field and a country field which can be used to show data on a map, but to make the geocoding of CRM records more accurate I added a separate custom column “Location”, which contains a concatenation of the City and Country Field.
So now we can start designing the report – let’s drag the “Location” field and the “Yearly Premium” field on the design canvas. By default it will show in a table format but can you switch to “Map” format by selecting the map icon. I expected the values to be plotted nicely on a map but the Belgian city names where not recognized. It is essential that you tell Power BI that the new column contains a text value which can be used as input for geo-encoding – this can be done by specifying the data category: city (See Data Categorization in Power BI)
After applying this change, I also added the intermediary type (Agent or Broker) to the legend so that we can distinguish between the different intermediary types. I noticed that on the map all of the dots had the same size which was not really what I expected since the size should be bigger, the larger the value. But when I looked at the data set I noticed that the location was blank for a large number of brokers which kind of skewed the representation so I added a page filter to filter out the brokers which have no location. I also added a slicer to make it easier to filter revenue by year. I was surprised that you can’t create a horizontal slicer – please leave a comment on “Create different slicers” if you think this would be an interesting feature.