Construction companies operate hundreds of projects simultaneously, each with its own contracts, budgets, schedules, subcontractors, and operational risks. Despite using modern systems such as Procore, many organizations still struggle to translate project data into actionable financial and operational insights.

A mid-sized construction and engineering firm approached DataCult to build a centralized project intelligence platform that would provide leadership with clear answers to questions like:

• Are projects running over or under budget?
• Which projects are likely to miss schedule commitments?
• How accurate are our revenue and cost forecasts?
• Which operational issues (RFIs, submittals, observations) are delaying projects?

The goal was to move from fragmented reporting and manual financial tracking to an integrated project intelligence layer powered by Procore data, Microsoft Fabric, and Copilot-enabled analytics.

The Solution

DataCult designed and implemented a Project Intelligence Platform that unified financial and operational data into a single analytics environment.

The solution combined Procore operational data, financial metrics, and project management signals into a centralized analytics model using Microsoft Fabric.

Key components included:

Centralized Project Data Foundation

All Procore datasets—including financials, project management events, and operational metrics—were ingested into Microsoft Fabric’s OneLake environment. This created a unified and governed data foundation across all projects.

Financial Intelligence Layer

A comprehensive financial analytics model was developed to monitor project health across multiple dimensions:

• Total Revenue
• Total Costs
• Gross Profit and Profit %
• Budget Variance
• Forecasted Cost to Completion
• Project Over / Under performance

This enabled leadership to understand true project financial performance in real time.

Project Performance Scorecards

To improve operational visibility, the team built project health scorecards that tracked indicators such as:

• Budget status
• Schedule progress
• Contract completion
• Operational risk signals

These scorecards allowed leadership to quickly identify projects requiring intervention.

Operational Insights from Procore

Operational project activities were analyzed to uncover execution bottlenecks. Dedicated analytics views were created for:

• RFIs (Requests for Information)
• Submittals
• Punch Items
• Observations
• Change Events
• Daily Logs

These insights highlighted delays, bottlenecks, and operational risks across projects.

Copilot-Enabled Analytics

To make analytics accessible beyond technical teams, a Copilot layer was integrated to allow natural-language interaction with project data.

Executives and project managers could ask questions such as:

• “Which projects are currently over budget?”
• “Show projects with delayed RFIs.”
• “Which projects have the highest cost variance?”

This dramatically reduced the time required to access critical project insights.

Platform Architecture

The platform was designed to scale with growing project portfolios while ensuring data reliability and governance.

Data Sources

• Procore project management platform
• Financial project data
• Contract and budget datasets
• Operational project activities

Data Engineering Layer

Procore datasets were extracted and transformed using automated data pipelines, preparing them for analytics consumption.

Key engineering capabilities included:

• Data pipeline orchestration
• Historical data integration
• Data transformation and validation
• KPI model creation

Unified Data Platform

All project datasets were centralized in Microsoft Fabric OneLake, enabling:

• unified storage
• standardized data models
• high-performance analytics

Analytics & Reporting

Power BI dashboards were developed for different organizational stakeholders:

• Executive leadership
• Project managers
• Finance teams
• Operations teams

These dashboards enabled real-time monitoring of project financials and execution health.

Analytics Delivered

The project delivered a comprehensive set of dashboards covering financial performance, project operations, and risk indicators.

Financial Intelligence

WIP Reporting

• Revenue earned
• Costs to date
• Estimated earnings
• Work completed vs billed

Contract Intelligence

• Original contract values
• Approved change orders
• Revised contracts
• Payments received

Budget Variance Monitoring

• Original budgets
• Budget modifications
• Committed costs
• Estimated cost to completion
• Project over/under analysis

Profitability Insights

• Adjusted contract price
• Projected costs
• Gross profit and loss

Operational Project Insights

Project Scorecard

• Overall project health indicators
• Budget, schedule, and cost signals
• Risk indicators for operational delays

RFI Analytics

• Open RFIs
• Late RFIs
• Average days late
• Time to close RFIs

Submittal Analytics

• Total submittals
• Open and late submittals
• Review cycle time

Observation Tracking

• Open observations
• Late observations
• Operational risk indicators

Punch Item Monitoring

• Total punch items
• Delayed closures
• Completion timelines

Daily Log Insights

• Safety indicators
• Accident tracking
• Compliance reporting
• Log completion rates

Business Outcomes

The new analytics platform significantly improved the company’s ability to manage project performance.

Unified Financial Visibility

Leadership gained a single source of truth for project financial performance, enabling faster and more accurate decision-making.

Early Detection of Budget Overruns

Project managers could identify cost overruns and budget risks earlier, allowing corrective actions before financial impact escalated.

Improved Project Execution Monitoring

Operational analytics provided visibility into RFIs, submittals, and other execution bottlenecks, reducing delays across projects.

Faster Reporting Cycles

Automated pipelines and dashboards eliminated manual reporting processes, allowing real-time visibility across all projects.

Data-Driven Project Governance

The organization moved from reactive reporting to proactive project management using analytics and predictive insights.

Impact

The project transformed how the company monitored and managed project performance.

Key impact areas included:

• Real-time visibility into project financial health
• Early identification of project risks and delays
• Faster access to operational insights from Procore data
• Automated reporting replacing manual spreadsheets
• Executive-level decision support powered by Copilot

The company now operates with a centralized project intelligence platform, enabling leadership to monitor dozens of projects simultaneously while maintaining control over budgets, schedules, and operational risks.