Key Benefit: Reduce software costs.
Software usage can vary depending where on campus the computers are located. Identifying excess software licenses is only half of the problem. It’s important to know where those unused licenses are.
Data Portability allows you to locate exactly which machines have unused software so you’re not removing resources that students are using.
Related: How to Open the Software Usage Power BI Template
How to identify which machines have unused software:
- Open the Software Usage Template
- Open the Peak Concurrent Application Usage by Group tab at the bottom of the template
- Use the Application slicer to isolate the software you want to investigate.
- Expand the software tab to see which groups have that specific software deployed
- Click the arrow in the Application Utilization % column to organize the groups with the lowest usage to the top.
- Expand the group to drill down to see the individual machines with underutilized software.
Understanding your results
Groups with low Application Utilization % have excess software licenses. Software with a low Application Utilization % or no use at all is a logical place to consider reducing licenses.
Software demand is likely different depending on its location on campus. Identifying excess licenses and where they are located will allow you to cut software where it won’t be missed.
Sample Scenario:
You identify that you have too many Mathematica licenses. Using the Peak Concurrent Application Usage by Group template, you notice that the lab near the math classes has very high usage while the lab in the library has almost none. You make the decision to cut the licenses from the library lab and expand the license count at the Math lab.
