Mitel Performance Analytics lays the groundwork for successful voice quality (VQ) troubleshooting with visualizations that tie performance data points together and point you towards the cause of a problem.
For most, troubleshooting voice quality (VQ) problems takes time, can be difficult to pinpoint and is a constant challenge for IT professionals. Often, these issues arise because of other problems on the network but the bottom line is that it’s your responsibility to find and fix them.
This month’s release of Mitel Performance Analytics, R2.2 does the work for you, gathering voice quality data and displaying it in a way that helps you spot trends and identify root causes.
Call Quality by Call Volume: See what happens to call quality as call volume increases and decreases through the day. This graph can help point you towards a capacity problem, when call volume and the number of bad or poor calls increase at the same time.
VQ Metrics Include:
- number and percentage of good, fair, poor, or bad calls
- hour of the day they occurred
- total number of calls
Call Quality by Directory: Displays as a table or chart showing the number of calls with bad or poor quality for the 10 worst directory numbers associated with a device.
Worst Performing Directory Numbers: See at-a-glance the percentage of poor quality calls for the 10 worst directory numbers associated with a device.
Worst Voice Quality Devices: This query displays as a table or chart the number of calls with bad quality for the 10 worst devices in a container, helping to point you towards the devices that need attention.
Diagnosing and correcting your VQ problems can have a significant and positive impact on your user’s experience.
We know that monitoring and managing performance offers a better user experience, decreases downtime, and lowers the cost of support. MPA R2.2’s new set of voice quality graphs help to point you towards the cause of a problem for faster resolution. Looking for more information? Take a look at Mitel’s Voice Quality Troubleshooting Guide or visit our MPA R2.2 Primer.