From Job Sites to Insight: Powering Analytics for a Site Development Giant

Built a unified analytics foundation for a leading U.S. site development firm, powering project delivery, resource planning, and executive decision-making

Technology
Data Engineering
Data Warehousing & Lakehouse
Business Intelligence & Visualization
Geography
North America
Industry
Business & Advisory Services

Key results

35%

improvement in site progress tracking by integrating project schedules, material usage, and status updates across active jobsites

65%

reduction in manual effort for billing, invoicing, and collections through automated AP/AR and change order reporting

100%

visibility into equipment availability and downtime across 30+ jobsites using integrated fleet data from GoAardvark and Enterprise

75%

faster reporting on labor productivity and subcontractor costs, enabled by automated insights from Paylocity and Raken

About the Client

The client is a full-service, vertically integrated site development contractor, specializing in excavation, clearing, utility installation, and paving for large-scale infrastructure and data center campuses. Operating across six states, they play a key role in mission-critical construction projects across the East Coast.

Key Challenges

Siloed data across ERP, project delivery, fleet, and payroll systems without a shared analytical layer

High reporting overhead due to fragmented tools, manual exports, and unstructured Excel workflows

Limited visibility into site-level progress, equipment downtime, and labor productivity metrics

Inability to deliver company-wide performance insights for leadership and board reporting

Our Approach

Deep-Dive Discovery with Business and Technical Stakeholders

  • Engaged teams across operations, finance, fleet, and sales to identify KPIs and data gaps
  • Mapped data sources and reporting needs across 8 core business areas

Data Engineering & Warehouse Setup

  • Designed ETL pipelines to ingest data from CRM, ERP, project management, payroll, and fleet systems
  • Built a Snowflake-based warehouse with historical backups, staging, and analytical layers

Iterative BI Development and Wireframing

  • Co-developed dashboard wireframes based on stakeholder feedback
  • Prioritized site progress tracking, cost variance, equipment utilization, and sales metrics

Function-Specific Power BI Dashboards

  • Built secure, role-based dashboards with drilldowns across projects, regions, and timeframes
  • Delivered real-time visuals for SLA compliance, rework trends, and billing efficiency

Enablement and Change Management

  • Delivered training and SOPs for end users across departments
  • Documented dashboard logic, refresh cycles, and business rules

Ongoing Feedback & KPI Evolution

  • Incorporated metrics like weather impact, subcontractor effectiveness, and rework costs
  • Enhanced dashboards with new data sources like safety audits and timesheet logs

Implemented Solution

Automated ETL Pipelines

  • Integrated structured and semi-structured data from over 10 internal platforms
  • Enabled hourly updates for operational and financial KPIs

Cloud Data Warehouse on Snowflake

  • Centralized job, resource, and cost data into a governed analytical model
  • Delivered documentation including staging, EDW, and analytical layer diagrams

Power BI Dashboards Built Across 8 Business Areas

  • Project Progress & Delivery Tracker – Tracks site progress, material usage, contract compliance, and change orders by project/site
  • Fleet & Equipment Management Dashboard – Visualizes equipment availability, downtime trends, maintenance schedules, and leasing costs
  • Workforce & Subcontractor Dashboard – Highlights labor productivity, headcount vs. demand, attendance compliance, and subcontractor performance
  • Financial Performance Dashboard – Monitors project-level margins, cost breakdowns by labor/equipment/materials, AP/AR status, and billing cycles
  • Sales & Business Development Dashboard – Tracks bid pipeline, win/loss trends, forecasted contract value, and top client contribution
  • Client Success Dashboard – Analyzes account-level delivery timelines, repeat business patterns, issue resolution rates, and customer satisfaction signals
  • Executive Summary Dashboard – Offers a company-wide view of KPIs, project distribution, strategic clients, and new vs. repeat business
  • Project Planning & Scheduling Dashboard – Visualizes phase timelines, resource demand vs. availability, and external delay factors like weather

Ad Hoc Analytics Support

  • Delivered one-off reports and deep dives on cost overruns, equipment utilization bottlenecks, and bid success predictors

Technologies Used

No items found.
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