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🚧 Construction Project Performance Analytics Dashboard

Screenshot 2026-05-11 151846

Business Problem

Construction companies often struggle with:

  • Tracking project progress
  • Monitoring manpower utilization
  • Identifying delays
  • Controlling operational costs

This dashboard was developed to help management monitor project performance and make data-driven decisions.

Objectives

  • Analyze project-wise financial performance
  • Monitor workforce utilization
  • Identify delay trends
  • Track project profitability
  • Detect operational risks

Tools & Technologies

  • Power BI
  • Power Query
  • DAX
  • Excel
  • Data Modeling

Key KPIs

  • Total Billing
  • Total Cost
  • Profit Margin %
  • Avg Daily Progress %
  • Workforce Utilization %
  • Delay %
  • Delay Days

Dashboard Pages

1. Project Performance Overview

  • Cost vs Billing
  • Profitability Analysis
  • Progress Tracking
Screenshot 2026-05-11 151846

2. Manpower Performance Analysis

  • Planned vs Actual Workforce
  • Workforce Utilization
  • Productivity Monitoring
Screenshot 2026-05-11 151903

3. Financial Performance Analysis

  • Expenses vs Billing Trend
  • Cost Overrun Analysis
  • Budget vs Actual Cost Comparison
Screenshot 2026-05-11 151918

4. Delay Performance Analysis

  • Delay Trends
  • Delay vs Cost Correlation
  • Operational Risk Analysis
Screenshot 2026-05-11 151935

Key Insights

  • Metro project achieved the highest profitability despite lower operational cost.
  • Bridge project showed the highest financial exposure and workforce demand.
  • Projects with higher delays exhibited increased operational expenses.
  • Workforce shortages may contribute to project execution delays.

Business Impact

The dashboard helps stakeholders:

  • Monitor operational efficiency
  • Detect cost overruns
  • Improve manpower planning
  • Reduce project delays
  • Support data-driven decision-making

About

Developed an interactive Power BI dashboard to analyze construction project performance, manpower utilization, financial metrics, and operational delays using DAX, Power Query, and data modeling.

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