Microsoft Intune Advanced Analytics is a solution that provides detailed insights and reporting for managing devices, applications, and user behavior within an organization. It is part of Microsoft Endpoint Manager, which combines Microsoft Intune for device management with the power of analytics to help organizations improve productivity, security, and overall management of their IT ecosystem.
 
Key features of Microsoft Intune Advanced Analytics:
1. Comprehensive Device and App Insights:
Device Health Insights: Provides real-time data on the health and compliance of devices within the organization, including operating system versions, device configuration, and compliance with corporate policies.
Application Analytics: Gives detailed insights into the performance and status of applications deployed on managed devices. This includes app deployment success rates, usage patterns, and error rates that can help identify issues affecting productivity.
App Protection: Reports on the effectiveness of application protection policies, such as app data sharing restrictions, encryption, and access control. Helps ensure that apps are securely managed and comply with organizational policies.
2. Advanced Reporting:
Customizable Dashboards: Allows administrators to create custom dashboards to monitor key metrics, such as device health, user activity, application usage, and compliance status. These dashboards provide at-a-glance insights for faster decision-making.
Detailed Compliance Reports: Provides in-depth reports on device compliance, including whether devices meet the organization’s security and configuration policies. It can show trends in compliance over time and highlight any devices or users that are out of compliance.
Device Enrollment Analytics: Offers insights into device enrollment processes, showing which devices have been successfully enrolled or which enrollment attempts have failed, along with the reasons for failure.
3. Trend Analysis and Predictive Analytics:
Trend Analysis: Helps identify trends over time in areas such as device compliance, app usage, and user activity. This can help organizations anticipate potential issues and take proactive steps to mitigate risks.
Predictive Insights: Uses machine learning and data patterns to predict potential issues or non-compliance before they become widespread. For example, it can predict which devices may be at risk of becoming non-compliant based on historical data.
4. User and Group-Based Reporting:
User-Centric Reporting: Provides insights at an individual user level, including which devices are assigned to each user, their compliance status, app usage, and any issues impacting productivity.
Group-Based Analytics: Allows reporting and insights based on user groups, such as by department, location, or device type. This can help organizations understand how different groups are performing and where additional resources may be needed.
5. Real-Time Alerts and Notifications:
Real-Time Notifications: Sends alerts when certain conditions are met, such as when a device becomes non-compliant, when an app fails to install, or when a user experiences issues with accessing corporate resources.
Conditional Access Alerts: Provides notifications on conditional access policy failures, such as when a user or device doesn't meet the requirements to access corporate resources.
6. Security and Compliance Insights:
Security Posture Analytics: Provides insights into the security posture of devices, apps, and users within the organization. This includes monitoring compliance with security policies like encryption, password protection, and multi-factor authentication (MFA).
Risk Detection: Detects and alerts on potential security risks within the device ecosystem, such as jailbroken or rooted devices, devices with outdated software, or non-compliant apps.
Device Configuration Reports: Helps track device configuration settings and ensures they align with corporate policies. You can see which devices are configured correctly and which need attention.
7. End-User Experience Insights:
User Experience Monitoring: Provides insights into the end-user experience with managed apps and devices, helping administrators understand if users are facing issues with app crashes, slow performance, or device-related problems.
App Usage Metrics: Tracks the usage of managed applications, providing valuable insights into which apps are most used, which are underutilized, and how users are engaging with them.
8. Power BI Integration:
Power BI Support: Integrates seamlessly with Power BI, enabling organizations to create custom reports and visualizations based on data collected from Microsoft Intune. This allows for advanced data analysis and the ability to share insights across teams in customizable formats.
Advanced Data Queries: Administrators can use Power BI to run advanced queries on device and app data and create personalized dashboards for different departments or use cases.
9. Automated Reporting and Data Export:
Scheduled Reporting: Allows administrators to schedule regular reports, providing updated insights on device health, app status, and compliance levels. These reports can be shared with other stakeholders, ensuring everyone has access to the latest data.
Export Data: Administrators can export the data in various formats (such as CSV or Excel) for further analysis or to create custom reports outside of the Microsoft ecosystem.
10. Custom Alerts and Triggers:
Custom Alert Creation: Allows organizations to set up custom alerts based on specific criteria, such as device non-compliance, app deployment failures, or changes in security posture. These custom alerts ensure that administrators are notified about issues specific to their organization’s needs.
Trigger-Based Actions: Administrators can create actions based on specific triggers. For example, if a device becomes non-compliant, it can trigger an action like blocking access to certain resources or notifying the user.