SAP Plant Maintenance reporting, rebuilt from the source

We trace how SAP PM reports are actually built and rebuild the logic in Snowflake or Microsoft Fabric, so maintenance, reliability and finance teams get reporting they can extend and trust.

Sound familiar?

  • Only one or two people understand how the standard PM reports are calculated.
  • Work order costs, settlements and budgets do not reconcile between SAP and finance.
  • Backlog, PM compliance and reliability metrics take manual effort every month.
  • An S/4HANA migration is coming and will break existing reporting.

What we deliver

  • A documented data model covering orders, notifications, equipment, functional locations, statuses, operations, materials, costs, settlements, WBS elements and cost centers
  • PM reporting logic rebuilt in SQL and reconciled against SAP
  • Maintenance dashboards: backlog, PM compliance, cost by asset, MTBF and MTTR, planned vs. unplanned work
  • A reporting foundation that survives the move to S/4HANA

How it works

01

Trace

We follow how your current SAP reports assemble their numbers.

02

Extract

We map and extract the underlying tables.

03

Rebuild

We recreate the logic and reconcile it against SAP.

04

Deliver

Dashboards, documentation and handover.

Where to start

Project Controls Data Assessment

A fixed-fee, two-week review of your P6, cost, SAP and reporting landscape. You get a data map, a gap list, a target architecture and a prioritized roadmap, presented to your leadership team. If you go ahead with a build, part of the fee is credited toward it.

Numbers that maintenance and finance both accept

We have rebuilt SAP PM reporting in Snowflake by tracing exactly how SAP assembles it: statuses, settlement rules, cost elements and all. That is the difference between a dashboard and numbers that hold up in a budget review.

Take the black box out of SAP PM reporting

Book a free project controls data review. We will look at how your reporting works today and show you what an engineered version could look like.