In a recent LinkedIn Live session, Lauren Taggart and Giuseppe Stirpe from ThinScale walked us through how Device Analytics is reshaping endpoint observability and optimization. From real-time diagnostics to proactive employee notifications and rich data visualization integration, the session offered a deep dive into why this feature is becoming a mainstay for ThinScale customers.
Why Device Analytics Matters
Device Analytics fills a critical gap: visibility into performance-related issues on remote devices. Whether it’s CPU spikes, high memory consumption, or network lag, Device Analytics lets IT teams pinpoint bottlenecks. Critically for BYOD deployments, it can do this only during secure sessions—ensuring privacy compliance (GDPR, HIPAA, PCI) by ignoring data from personal or private use/sessions.
What Can Be Tracked?
The tool captures key metrics such as:
- CPU & Memory Usage
- Download & Upload Speeds
- Latency & Jitter
- Packet Loss
- System Event Viewer Logs
Admins can configure profiles directly in ThinScale’s cloud-hosted Device Portal. They can define latency URLs, monitor system logs, and even craft customized notifications for end-users when performance issues arise.
Example: If an HR employee’s machine is under heavy load while running Excel macros, a message can be displayed advising them to close unused tabs or apps.
Visualized, Actionable Data
An important factor that stands out for Device Analytics is how easily its data can be operationalized. ThinScale provides a Reporting API, allowing teams to pull device data into tools like Power BI. This means IT teams can visualize spikes, trends, and outliers across thousands of endpoints—enabling faster troubleshooting and smarter decision-making.
Example: Using Device Analytics a customer was able to understand whether a slow experience for users was due to hardware limitations or Wi-Fi congestion.
Intelligent Notifications
One of the most practical features is the end-user notification system. It alerts employees when CPU or memory usage is high—helping them self-correct without needing to contact support. This is particularly helpful for non-technical users who might otherwise misdiagnose a problem as software failure.
Example: A user may have too many instances of Excel open, the alerts will suggest closing a few to maintain performance standard.
Fewer Tickets, Faster Fixes
Device Analytics has shown powerful results for clients, particularly around network performance metrics:
- Transparent proof on where performance degradation is caused, often due to user-side or network issues.
- Up to 37% reduction in support tickets, particularly those related to network issues.
- Early detection of problematic regions for talent acquisition based on latency and bandwidth metrics.
Takeaways
- See the Bigger Picture – Use Power BI (or your preferred tool) to aggregate and visualize device trends. Spot outliers and address recurring issues before users even notice them.
- Proactive Network Monitoring – This tool continuously tracks network performance—letting you catch slowdowns from household congestion (kids streaming, smart devices) or VPN inefficiencies without having to run manual speed tests.
- Try It Now – If you’re a ThinScale customer, Device Analytics is available to explore. Just get in touch with your account manager who will help you with this.
Conclusion
Device Analytics is a strategic advantage for IT teams particularly those in industries that rely on the use of different device types, remote workers, and home networks. It provides insight on performance for both admins and users. For those interested in both protecting their endpoints and optimizing their performance, check out the webinar here. Or better yet get in touch, we would be happy to answer any questions.
