Video 1: Demonstrates how the MSI User Reporting Tool empowers the mobile worker to provide feedback about their experience that triggers an alert and automatic analysis.

Video 2: A schematic of the end-to-end mobile system helps visualize the automated MSI analysis of each system’s response to user input by the core software, the Connect Virtual Appliance (CVA). An example bottleneck on the host system along with the true user wait time is reported customer interface in real-time.

Video 3: The MSI Portal is the partner and customer interface for real-time posting of user alerts and performance metrics as well as updates on detailed analytics such as root cause analysis for specific user alerts. The video snippet demonstrates a real-time user alert from video 1 in the MSI Portal, followed by a click through to the detailed diagnostic report informed by video 2 automated analysis. Detailed analysis in the diagnostic report (DR) is available by request for a demonstration.

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Are there software agents on the mobile user device or on the application servers? 

No agents are utilized. The user report uses another method via the device browser. The monitoring and analysis software sits in the customer network, similar to the way a network proxy would be set-up.

Who or what analyzes the user report?

The Connect Virtual Appliance (CVA) automates the analysis of the “conversation” or transactional data transfer between the user’s mobile device and the back-end host system across wired and wireless networks. This analysis provides the primary diagnosis and associated data to the MSI analyst who puts the data in context and can formulate corrective action recommendation.

What is the turnaround time for a user report triggered analysis? 

Within the same working day as the alert. The alerts, review status, and diagnosis are tracked in the MSI Portal.

Is this service “always-on” and is it feasible for scale, e.g. 100’s of sites with 10,000’s of devices?

The software is always-on and the data is always accessible via the user interface. The solution was built for scalability and volume by utilizing virtualization and a secure support method for real-time anomaly detection and alerting.