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Dashboard Project

Enterprise Asset Lifecycle & Inventory Dashboard

A comprehensive Power BI dashboard designed to provide structured visibility into enterprise asset inventory, device ownership patterns, and lifecycle management status to support operational oversight and proactive planning.

Section 1

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.

  • Real-time inventory counts by device type
  • Model-level breakdowns for asset standardization tracking
  • Site and group-level filtering
  • Operating system distribution visibility
Asset Inventory Snapshot section of the dashboard

Section 2

Multiple Device User Analysis

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

  • Cross-site and group filtering
  • Identification of duplicate or overlapping assignments
  • Audit-ready tracking of asset tag associations
  • Timestamp-based visibility into assignment history
Black Asset Database dashboard view

Section 3

Device Expiry & Lifecycle Status

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

  • 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
Device Expiry Status dashboard view

Project Overview

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, multiple device user analysis, and device expiry and lifecycle status. Together, these areas turn static asset records into a more usable operational intelligence platform.

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.

Focus

Enterprise asset inventory visibility, ownership analysis, and lifecycle planning through structured reporting.

Tools

Microsoft Power BI, structured data modeling, interactive filtering, and enterprise asset reporting design.

Outcome

Stronger compliance readiness, improved refresh planning, and clearer decision-support reporting for asset governance.