Visualize Data in a Unique Way
Enjoy Graphical Representation Of Data Over Map In Context To Boundary, No-Boundary, Pie-Chart And Column-Chart
Heat Map Visualization within Dynamics 365 CRM
Heat Map’s default colors are red, green and yellow which can be altered depending on business demand. You can also visualize Heat map within Dynamics 365 CRM in context to boundary, no-boundary, Pie-chart and Column-chart. Boundary analysis lets you create Heat Maps with regions while no-boundary is without any region and has no geographic boundaries. Heat Map in Dynamics CRM enables you to view data based on density of measure and analyze the data covering the geographical spread.
A pie chart is a circular data graphic, which is segregated into portions to illustrate numerical proportion in Heat Maps within Dynamics 365 CRM. Pie chart analyzes heat density for given set of categories most commonly in percentage. It is used extensively in presentations by sales team to show data distribution. Similarly, column chart is a vertical rectangular graphic representation of heat where the length of the bar is proportional to the data value. This comparative analysis of data over areas boosts you to make better decisions.
Yes, Maplytics allows you to get Heat Maps based on Dynamics 365 CRM attribute that is termed as measure in the map. With this you can easily plot the Heat Map with different aspects.
Yes, with the help of Maplytics users are able to not just visualize Heat Maps in Dynamics 365 CRM but also download the plotted Heat Maps.
With Maplytics, by clicking over a certain area on the heat map shows the summarized information of the same.
Maplytics allows you view density of data spread with the help of Pie/Column charts. Charts help the users to analyze the Dynamics 365 CRM data on the basis of comparative data shown by the charts on the map.
Maplytics enables you to visualize Heat Map in different ways. You can view Heat Map based on boundaries with regions like City, Postal Code, Country, etc. defined for Dynamics CRM data. Also, you can view the data spread with No Boundary or Pie/Column Chart.