You described a general contractor building out internal analytics capabilities
and wanting clean, maintainable solutions our team can own long-term
. This is what milestone one could look like: every active job in one semantic model, with cost-to-complete, over/under billings, schedule variance and safety on a single page — and the model behind it documented so your team runs it, not a consultant. Switch office and market to see the same page re-cut.
Bars are actual job cost booked each month; the dark line is the planned cost curve from the schedule of values; the red line is progress billing. Gaps between the two lines are your over/under billings.
Three questions a business analyst gets asked before the monthly ops review, each answered with a number that recalculates when you change the filters.
Each circle is one active job placed at the office that runs it. Size is contract value; colour is projected cost at completion against budget (green under, amber within ±2%, red over). Hover any job.
One fact table, five dimensions, documented measures. This is the part your team keeps after milestone one — the same model feeds every visual here.
Bar is share of active contract value. Right columns: projected margin at completion, jobs behind schedule by 10+ days, and net over/(under) billings.
Total recordable incident rate = recordables × 200,000 ÷ hours worked, by office, against a 1.0 internal target.
The row-level view a project executive drills to from any tile above. Cost variance is estimate-at-completion against the current budget; schedule variance is working days against the baseline.
The "ask the data" ideas on this board are designed to run on a GPU server inside your own network — an open-weight model over your own documents, cited answers, no per-seat licence, nothing leaving the building. The short deck below explains how it works. Scroll through, or download it as a PDF.
Questions? Book 30 minutes: calendly.com/powerbiconsultingservices/30min