# Heatmap - Month Hour

This report visually represents the monthly license usage, indicating peak and off-peak hours using colors. The busiest hours for license utilization are displayed in red, while the least busy hours are displayed in green. It helps identify usage patterns and peak periods quickly. Additionally, the report summarizes the monthly usage with metrics such as Max Available, Max in Use, Within 99% Use, and 95% Use.

Follow these instructions to generate a report:

1. On the Open iT Reporting Services web portal home page, click on the LicenseAnalyzer Level 1 folder.

   

   LicenseAnalyzer Level 1 Folder
   
   

   This will redirect you to the list of LicenseAnalyzer Level 1 report templates.

2. Click the Heatmap - Month Hour report template.

3. Select the Application Type, Vendor License, Measure, Year, and Month you want to include in the report. You can also enter specific vendor license and application names in the search boxes to further refine the report.

   

   Heatmap - Month Hour Parameters
   
   

   Parameter	Description
   Application Type	Use this to specify the name of grouping from which data are classified (the same listing found in the Application Hierarchy > Application Type).
   Vendor License	Use this to specify the name of an application in a vendor license. The table list seen in the Application Hierarchy > Vendor License is the same, only arranged alphabetically (not by application name).
   Application Name	Use this to specify the name of each application or program for a vendor license associated with an executable file.
   Measure	Use this to specify the measurement that will be used in the heatmap report. Either Maximum License Usage or Average License Usage.
   Year	Use this to specify the time-range for the report yearly such as 2020, 2021, 2022, etc.
   Month	Use this to specify the month of the report you want to view.

   Parameters and Descriptions
   
   

4. Click the View Report button in the top-right corner of the report viewer. Wait for the report to generate. This may take a few minutes, depending on the size of the data.