Skip to content

Intune Advanced Analytics

When managing large fleets, understanding what’s actually happening across endpoints becomes increasingly important. Intune’s Advanced Analytics is a set of tools that bring visibility, intelligence, and data-driven insights to endpoint management—beyond traditional reporting.

This guide breaks down what it is, what you get, and where it can fit into a modern device management.


Advanced Analytics in Intune refers to enhanced features built on top of standard reporting and telemetry. It enables:

  • Deep visibility into device health, policy status, and user behavior
  • Predictive alerts for device performance or security risks
  • Customizable insights via Kusto Query Language (KQL) in the Intune Data Warehouse
  • AI-powered recommendations (e.g. suggested app optimizations)

It’s designed to answer questions like:

  • “Which apps are having performance issues?”
  • “Which devices are likely to hit support issues soon?”
  • “Where are policy conflicts happening most often?”

  1. Device Timeline & Boot Performance
    • View startup time trends, app impact, and regression detection over time.
  2. Policy Health Insights
    • Detect deployment gaps or conflicts in configuration and compliance policies.
  3. Custom Queries (KQL)
    • Use built-in queries or write your own to explore raw data in the Data Warehouse.
  4. Suggested Actions
    • Get AI-based recommendations for remediation or configuration tweaks.

While some analytics features are built-in, full access to Advanced Analytics typically requires:

  • Intune Suite or Intune Plan 2 licensing
  • Enabled Data Warehouse access
  • Microsoft Entra roles such as Intune Administrator or Reports Reader
  • Diagnostic data enabled in tenant admin. (which is a requirement for Autopatch, among other things).

  • Use Power BI to visualize custom dashboards
  • Automate alerting based on KQL queries using Log Analytics + Sentinel
  • Correlate with Defender or Update Compliance for cross-service insights