CSA Group × BI Consulting Services
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Project performance, restored on Deltek Vantagepoint — profitability, utilization, backlog and AR across every CSA Group office

The Power BI platform you ran on Ajera, rebuilt against the Vantagepoint data model: one semantic model, every project, sliced by office, market sector and project manager. Filters below recalculate the whole board.

Prepared for FrederikSeptember 2026Model: Deltek Vantagepoint (SQL / OData)Refresh: nightly · illustrative
Office
Sector
Period
Data source

This model reads from Deltek VantagepointPR (projects / WBS), LD (labor detail), BIED (billed invoices), AR, EM (employees), CFGMainData (firm settings) via the Vantagepoint SQL view layer. Ajera is retired: no Ajera tables, no legacy keys — the Ajera project IDs are carried in a Vantagepoint user-defined field so history joins cleanly through the migration.

Net revenue vs direct labor — last 12 months

Net revenue = gross fees less subconsultants and reimbursables. Shaded months are the selected period.

Net revenueDirect labor cost

What this board answers

Three questions the leadership team asks every month, answered from the filtered data.

Portfolio site plan — every active project as a parcel

Each parcel is a project; area = contract fee, fill = net margin (darker is better), hatched = running below zero margin. Blocks are offices, streets separate them. Hover any parcel.

Fee-to-profit waterfall

How a dollar of gross fee becomes operating profit in the selected period.

Project managers — margin and realization

Ranked by net margin on the projects each PM leads. Realization = billed ÷ standard value of hours.

Backlog by market sector

Contract fee not yet earned on active projects, as of 30 Sep 2026. Months of backlog = backlog ÷ average monthly net revenue in the period.

AR aging and unbilled WIP

Open receivables by age bucket, plus earned-not-billed work in progress, as of 30 Sep 2026.

Current31–6061–9090+Unbilled WIP

Report inventory — the Ajera-era pages, mapped to Vantagepoint

A draft of the list we asked for in August 2025, so nothing has to be written from scratch: each legacy report, its page count, and the Vantagepoint tables that now feed it. Edit the names; the mapping is the work.

Also from BI Consulting Services

Private AI on your own server

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.

Private AI Servers — slide 1 of 14
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Private AI Servers — slide 11 of 14
Private AI Servers — slide 12 of 14
Private AI Servers — slide 13 of 14
Private AI Servers — slide 14 of 14

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