Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting

Key Takeaways

  • Advanced Analytics helps you see how devices are performing.
  • Device Query uses a special language (KQL) to find device details.
  • It helps spot problems like crashes or high CPU early.
  • You can fix issues faster with real-time data.
  • Keeping devices healthy improves user productivity.

Hey, let’s discuss about Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting. Advanced Analytics helps organisations proactively address endpoint performance issues by improving visibility into devices and detecting potential problems early. It enables IT teams to monitor device health, analyse performance data, and quickly identify issues that may impact user experience.

Table of Contents

Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting

With advanced insights and analytics tools, administrators can investigate abnormal device behaviour, monitor hardware performance, and troubleshoot problems faster. This improves operational efficiency and ensures devices across the organisation run smoothly.


Identify unusual device behaviour using device timelines and analytics.
Description
Enhance Device VisibilityView device status and configuration using interactive queries.
Detect Issues Early
Identify unusual device behavior using device timelines and analytics.
Device Health Monitoring
Track device health and detect productivity issues across devices.
Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting – Table.1

Device Query in Intune

The Device Query feature in Advanced Analytics allows IT administrators to explore and analyse device data using Kusto Query Language (KQL). It helps organisations quickly retrieve information about devices, applications, and system properties within the tenant. By running queries, administrators can identify device configurations, monitor performance metrics, and troubleshoot issues more efficiently across managed endpoints.

Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting - Fig.1 creds to Janusz Gal
Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting – Fig.1 creds to Janusz Gal

Viewing OS Version of iOS and Windows Devices

This screen shows how a query can be used to get an overview of devices running iOS and Windows and check their operating system versions. The query filters devices based on their OS description and displays key details such as the device name, device ID, and OS version. The results help administrators quickly monitor and manage devices across different platforms from a single view.

Patch My PC
Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting - Fig.2 creds to Janusz Gal
Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting – Fig.2 creds to Janusz Gal

Running a Process Query in Intune

The given screenshot shows the Device query section in Microsoft Intune, where administrators can analyse device information. From the Process property, a query is generated using Microsoft Copilot to list processes sorted by memory usage. The query retrieves details such as process name, process ID, working set size, and file path, helping IT admins quickly identify which applications are using more or less memory on the selected device.

Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting - Fig.3 creds to Janusz Gal
Advanced Analytics for Proactive Endpoint Monitoring and Troubleshooting – Fig.3 creds to Janusz Gal

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Author

Anoop C Nair is a Workplace Technology solution architect with 25+ years of experience. Microsoft Certified Trainer. Microsoft MVP from 2015 onwards for consecutive 11+ years! He is a blogger, Speaker, and Founder of HTMD Community and HTMD Conference. His main focus is on Device Management technologies like Intune, Windows, and Cloud PC. He writes about technologies like Intune, SCCM, Windows, Cloud PC, Entra, and Microsoft Security.

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