EPC Analytics
The quantity surveyor pulls from one system. The project manager pulls from another. Finance pulls from a third. By month-end, nobody agrees on the same earned value number. We fix that.
What we hear from operators
The problems we solve
Month-end cost close takes five days and nobody trusts the result
EPC month-end is a ritual. Cost engineers spend the last week of the month reconciling actuals from Oracle or SAP PS against committed costs from the procurement system, against progress claims from the field. It takes five to seven days, involves multiple spreadsheet versions, and ends with a number that the commercial team, the project team, and finance all view with scepticism. The root cause is always the same: three systems with no live connection.
Forecast at completion is a guess, not a calculation
EAC in most EPC projects is produced by a cost engineer who adjusts the original budget based on current burn rate and their knowledge of what's coming. There's no model. There's no systematic connection between schedule progress, resource loading, and cost performance. The forecast is as good as the person making it — and that's not a system you can scale.
Procurement commitments aren't visible to project controls
Purchase orders are raised in the procurement system. Committed costs should flow automatically into the project cost model. In most EPC organisations we work with, they don't — or they flow with a two-week lag after manual reconciliation. Project managers are making schedule and scope decisions without knowing what's already been committed.
Who this is for
Who epc analytics is built for
The roles that feel the problem first — and what we build for each of them.
Project Director
The problem
The quantity surveyor, the project manager and finance each pull from a different system, and by month-end nobody agrees on the same earned value number.
What we build
Primavera P6 and SAP PS unified into one WBS model in Microsoft Fabric, with live CPI and SPI in Power BI drawn from a single source.
Earned value agreed from one model, not three spreadsheets
Commercial / Cost Manager
The problem
Month-end cost close takes five to seven days reconciling actuals against committed costs against progress claims — and ends with a number everyone views with scepticism.
What we build
An automated commitment register and cost model in Power BI on Microsoft Fabric, fed from procurement and SAP PS through Azure Data Factory.
Month-end cost close: 5–7 days → same-day
Operations Director
The problem
Procurement commitments are not visible to project controls, or arrive with a two-week lag, so scope and schedule decisions are made without knowing what is already committed.
What we build
Purchase-order integration into the Microsoft Fabric cost model, with committed costs surfaced in Power BI and Power Platform within hours of a PO being raised.
Committed costs visible within hours of a PO, not after the next cycle
CFO / Financial Controller
The problem
Forecast at completion is a cost engineer's adjustment of the original budget — as good as the person making it, with no systematic link to schedule and cost performance.
What we build
Model-driven EAC with CPI trending in Power BI over SAP S/4HANA and Microsoft Fabric, so variances are explained by specific WBS elements.
EAC calculated systematically, not estimated by hand
Measurable outcomes
What changes after implementation
Specific shifts from delivered epc analytics work — the before, and the after.
Month-end cost close: 5–7 days → same-day or next morning
When Oracle/SAP PS is connected to procurement and field progress, month-end reconciliation happens automatically against the system of record. Cost engineers stop reconciling and start analysing.
EAC accuracy: manual estimate → model-driven forecast with CPI trending
Forecast at completion is calculated systematically from actual cost performance, not adjusted manually. Variances from the original budget are explained by specific WBS elements, not absorbed into a contingency line.
Commitment visibility: 2-week lag → real-time PO integration
Project managers see committed costs within hours of a purchase order being raised, not after the next reconciliation cycle. Scope decisions are made with full commitment visibility.
By market
EPC Analytics — market-specific pages
Each page below covers what epc analytics looks like specifically in that market — the local ERP landscape, compliance context, and the operational patterns we actually see there.
Singapore & Malaysia
United Kingdom
North America
By industry
EPC Analytics — industry-specific pages
How epc analytics applies to the specific systems, metrics, and operational challenges of each vertical.
Technology stack
Start with a conversation, not a proposal
First call is 30 minutes with Amit. We ask about your systems, your team, and your most pressing operational problem. You get a clear view of where the gap is and what closing it looks like. No slides. No pitch deck. No obligation to proceed.