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Schaeffler × BI Consulting Services

Special Machinery PMO · Cheraw, SC — project hours: Planisware plan vs SAP actuals, remaining time & capacity
Prepared for Yogesh
September 2026 · Power BI concept board
Demonstration · illustrative data
as of 31 Aug 2026 · SAP PS + Planisware refresh 06:00

Plan vs actual hours by month

Planned hours (Planisware)Booked hours (SAP PS)Month over plan

Where the hours go

PlanActualRemaining (ETC)

Bearing race — every project in one look

Outer race: hours consumed % of plan · Middle: schedule elapsed % · Inner: material cost consumed %
On trackHours running >10 pts ahead of scheduleOver plan hoursNot yet started / complete

What this board answers

Capacity — next 90 days (Sep–Nov 2026)

Remaining plan hours booked vs available engineering hours by discipline · design disciplines show free capacity for builds not yet in Planisware

Remaining time by project

Estimate-to-complete (ETC) vs months to planned end
SAP PS · actual hours & purchases→ Planisware · plan hours & material cost→ Dataflow · WBS ↔ activity mapping→ Power BI · this board, daily 06:00 One semantic model, row-level security by project group. Illustrative architecture.
Also from BI Consulting Services

Private AI on your own server

The "ask the data" panel above is built to run on a GPU server inside your own network: an open-weight model over your own documents, with every answer citing the file it came from. No per-seat licence, works offline, and nothing leaves the building.

How it sits in your environment

YOUR NETWORK · NOTHING LEAVES THE BUILDING Your files policies · SOPs · contracts reports · ERP exports indexed locally GPU One server, in your building open-weight model · your data only in seconds Cited answers every reply links to the source file and page no cloud AI · no third-party processor
One appliance-class server on your rack or in a secured closet. Your files are indexed where they already live; the model runs locally; answers come back with the source page attached.

What that means in practice

  1. 1
    Your data only, on your hardwareAn open model over your own documents and exports. No third-party AI processor, no data-transfer agreement to review.
  2. 2
    Every answer cites its sourceReplies point to the file and page they were drawn from, so people check the answer instead of trusting it blind.
  3. 3
    No per-seat licenceThe whole team can ask questions. Cost is the server and our build, not a monthly number that grows with headcount.
  4. 4
    Works offlineIf the internet connection goes down, the answers still come. Nothing depends on a vendor's uptime or pricing changes.

The short deck

14 slides on how a private AI server is scoped, secured and rolled out. Click through, or take the PDF.

Download the PDF
Private AI on your own server — slide 1 of 14 Private AI on your own server — slide 2 of 14 Private AI on your own server — slide 3 of 14 Private AI on your own server — slide 4 of 14 Private AI on your own server — slide 5 of 14 Private AI on your own server — slide 6 of 14 Private AI on your own server — slide 7 of 14 Private AI on your own server — slide 8 of 14 Private AI on your own server — slide 9 of 14 Private AI on your own server — slide 10 of 14 Private AI on your own server — slide 11 of 14 Private AI on your own server — slide 12 of 14 Private AI on your own server — slide 13 of 14 Private AI on your own server — slide 14 of 14
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