Enterprise Asset Lifecycle & Inventory Dashboard

Enterprise Asset Lifecycle & Inventory Dashboard

I designed and implemented a comprehensive Power BI dashboard to provide structured visibility into enterprise asset inventory, device ownership patterns, and lifecycle management status. The objective was to centralize hardware data into a scalable reporting framework that supports operational oversight and proactive lifecycle planning. The dashboard is organized into three integrated analytical sections:

Asset Inventory Snapshot

This section provides a high-level overview of total assets across categories such as desktops, laptops, tablets, virtual machines, projectors, and operating systems. It enables:

• Real-time inventory counts by device type

• Model-level breakdowns for asset standardization tracking

• Site and group-level filtering

• Operating system distribution visibility
  
  

Multiple Device User Analysis

To identify potential asset allocation risks and policy exceptions, I developed a structured view highlighting users assigned to multiple devices. This section supports:

• Cross-site and group filtering

• Identification of duplicate or overlapping assignments

• Audit-ready tracking of asset tag associations

• Timestamp-based visibility into assignment history
  
  

Device Expiry & Lifecycle Status

This section provides forward-looking lifecycle intelligence by tracking asset expiry dates and current status. It enables:

• Filtering by active, expired, and upcoming expirations

• Identification of devices expiring within the next 12 months

• Visibility into assets missing lifecycle data

• Proactive planning for refresh cycles and budgeting
  
  

By consolidating inventory data, lifecycle attributes, and user-device relationships into a unified reporting structure, I transformed static asset records into a dynamic operational intelligence platform. The dashboard supports compliance readiness, refresh planning, and data-driven asset governance across the organization.

This project demonstrates my experience in enterprise asset management analytics, lifecycle tracking, structured Power BI data modeling, and translating endpoint management data into actionable decision-support reporting within a high-volume IT environment.