Sector
Enterprise (Large-Scale Endpoint Environment)
Engagement Type
PDS Implementation
Technologies
Engagement Overview
Cybernerds implemented Microsoft Intune Advanced Analytics using its Platform Design Specification (PDS) framework to enable enhanced visibility into endpoint performance, health, and configuration across the enterprise. The engagement focused on both technical deployment and operational enablement.
Initial State
The organization had baseline Endpoint Analytics enabled but lacked:
- ✓Structured telemetry collection
- ✓Advanced query capabilities
- ✓Consistent use of analytics for operational decision-making
Key Challenges
- ✓Visibility: Limited depth of telemetry data
- ✓Analytics: No structured use of KQL or Device Query
- ✓Governance: No staged rollout model for analytics policies
- ✓Operations: Reactive rather than proactive endpoint management
Solution Design — PDS Framework
- ✓Telemetry Policy: Custom device telemetry via Properties Catalog
- ✓Data Scope: Hardware, OS, TPM, performance, encryption
- ✓Deployment Model: Phased rollout using Azure AD groups
- ✓Analytics Capability: KQL-based Device Query enablement
- ✓Governance: Structured policy assignment and validation
Implementation — PDS Execution
- ✓Created telemetry policy ("Device Properties Collection")
- ✓Enabled collection across multiple device attributes
- ✓Designed phased rollout: pilot, early adopters, broad deployment, full rollout
- ✓Assigned policies via Azure AD device groups
- ✓Ensured minimal operational disruption through staged deployment
Validation — PDS Validation Phase
- ✓Telemetry validated using Device Query (KQL)
- ✓Data completeness and accuracy confirmed
- ✓Real-time queries executed against production endpoints
- ✓IT stakeholders trained on analytics usage
Outcome
- ✓Enhanced visibility into endpoint environment
- ✓Real-time device analysis capabilities
- ✓Improved troubleshooting and performance monitoring
- ✓Foundation for analytics-driven IT operations
Strategic Value
The engagement enabled a shift from reactive IT operations to proactive, data-driven endpoint management, supporting improved decision-making, reduced downtime, and better lifecycle management.
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