Catch overruns as they develop
Job costing: budget, committed and actual cost by cost code, with estimate to complete. Fixes happen while the job is live.
Construction analytics that brings job cost, WIP, schedule and margin data into one view for contractor owners, CFOs and project managers.
Our construction analytics work connects project management, accounting and estimating data into dashboards that show margin fade early. Book a consultation to review your project reporting.
We start with the reports your team already relies on.
Construction analytics is the practice of integrating and analyzing project, cost, schedule and financial data to manage jobs and the business more effectively. Construction data analytics joins information from project management software, accounting or ERP systems, estimates and spreadsheets into consistent KPIs. The result is an accurate, current view of each job and the whole portfolio.
For contractors, it replaces month-old cost reports and manually built WIP schedules with views that refresh automatically and reconcile to the books.
It turns separate reports into one source of truth.
Contractors rarely lose margin in a single event. It erodes job by job, and the reports arrive too late to stop it.
At month-end, the WIP schedule shows over- and under-billing that surprises the CFO. Projected margins shift between reports because estimates to complete are updated inconsistently. Leaders learn about margin fade at closeout, when it can no longer be recovered.
Construction analytics closes these gaps by joining field, project and accounting data into one model that refreshes frequently. Margin fade becomes visible while there is still time to act on it.
Construction analytics replaces late, manual reports with a shared, current view of every job. Each role uses it differently.
Because everyone works from one dataset, project reviews and month-end meetings spend less time reconciling numbers and more time deciding what to do.
The insight is simple: the same job data serves three different decisions. Owners decide which work to bid on. CFOs decide how to bill, borrow and report. Project managers decide where to act on cost and schedule this week. Construction analytics gives each of them the same numbers, at the level of detail they need.
The result is better cost control and risk management on every job, with data that refreshes automatically from your existing systems and needs no duplicate entry.
Portfolio view of backlog, projected margin and risk by project type and client.
Continuous WIP, billing position and cash forecasts tied to progress, ready for lenders and sureties.
Budget versus actual and committed cost by cost code, with change order status.
Estimate-to-actual comparisons show which assumptions were accurate on past jobs.
These use cases cover the questions contractor leadership teams ask every month.
Job costing: budget, committed and actual cost by cost code, with estimate to complete. Fixes happen while the job is live.
WIP: automated schedule with percent complete, earned revenue and over- and under-billing. Finance stops rebuilding WIP each month.
Schedule and productivity: planned versus actual progress and labor hours by trade. Schedules reflect real crew output.
Safety and quality: incidents, inspections and rework linked to jobs and trades. Repeat issues are found by trade.
A common starting point is job costing and WIP, because that is where margin fade is found and where finance spends the most time each month. Schedule, productivity and safety follow once the cost data is reliable. Each use case is built on the same data model, so adding the next one is usually faster than the first. All four are reviewed in the meetings where decisions are already made: weekly job reviews, month-end close and executive portfolio reviews.
Each use case names the decision it supports, such as which job to review first or when to bill a change order, so the dashboard has a clear owner and a clear reason to exist.
These construction KPIs are defined once and tracked automatically for every job.
Projected gross margin vs bid margin, %, Job 14 by pay application; portfolio by month
So what: Margin fade shows up early in the data; act while the job is still live.
Projected gross margin against bid margin, by job and portfolio.
Cost variance: actual and committed cost against budget.
Over- and under-billing from the WIP schedule.
Change order cycle from field approval to billing.
Schedule variance on key milestones.
Contracted revenue not yet earned, with margin in backlog.
Each KPI has a written definition, an owner and a target, and is reviewed in the meeting where it matters.
These construction KPIs come first because they tie field progress to billing and margin. Each is shown by job, by project manager and across the whole portfolio.
Every KPI ties back to your cost code structure, so a variance can be traced to the line that caused it.
The chart below shows that drill on demo data. Across the portfolio, Job 14 has the largest margin fade since bid, at 4.4 points. Within Job 14, concrete holds $142K of the $299K overrun.
Construction project dashboard: cost, schedule progress and open change orders.
WIP dashboard: earned revenue, billing and margin fade.
Portfolio dashboard: backlog, margin and risk by type, client and project manager.
Our three sample construction dashboards use the same drill and the same job and cost code structure as your accounting system. They can be reviewed in a short walkthrough during a consultation.
Contractors often run several systems that were never designed to report together. We connect them into one data model rather than asking you to replace them.
Field platforms. Procore and similar platforms supply budgets, commitments, change orders and schedules.
We work with the data you already have, from project management platforms and construction accounting systems to general ERPs and the spreadsheets that fill the gaps. The output is a construction dashboard layer, usually in Power BI, that refreshes automatically and reconciles to your books.
Where a system lacks a direct connector, we use scheduled exports or automation tools such as Zapier, Make or n8n to bring data in reliably and on schedule.
The aim is one model that every report draws from, so a job's numbers are the same in every meeting.
Your teams keep the systems they know; we connect them.
We analyze estimate-to-actual data so your estimating team sees where past estimates were accurate or off, and we feed historical cost data back into future cost estimating. Estimators then work from evidence by cost code, trade and project type when they prepare the next bid.
No. We connect the systems you already use, such as Procore, Sage, your ERP and spreadsheets, into one data model and dashboard layer. Replacement is only recommended when a system cannot provide the data you need. This keeps disruption low for project and field teams.
It suits general contractors, specialty contractors and developers across the AEC sector with several active jobs, where owners, CFOs and project managers need a current, shared view of cost, schedule, WIP and margin. It also suits contractors preparing for growth or new financing.
Further reading on construction cost, data modernization and how we structure engagements for contractors.
Each article is written for contractor owners, CFOs and project leaders.
Use them to prepare for a first conversation about your project data.
Each article links back to the related solution pages.
If job cost reports arrive late or WIP surprises your finance team, start with a construction analytics review of your systems, reports and KPIs.
You receive a written summary of priorities and a recommended first step, which may be advisory or training rather than a dashboard if your data is not yet ready. Reviews are scheduled around month-end. Book a consultation to schedule yours.