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SAP PP Cutover Data Load Tracker

PP master data load cycles produce a lot of numbers and few clear answers on readiness. This tracker shows counts, error volumes and success rates per object for each mock cycle.

Download:
Migration objectCycleOwnerSource recordsLoaded OKErrorsRemainingSuccess rateStatus
0
96.9%
0
98.9%
0
87.1%
350
89.7%
4,300
0%
Total source records
28,880
Total loaded
22,788
Total errors
1,442
Overall success rate
78.9%

Load order matters: work centers and materials first, then BOMs, routings and production versions. Record error themes in your issue log, not just counts.

Legacy data profiling

Optional: we can profile your legacy PP data ahead of mock loads.

Optional. The tool and every export work without this. No spam.

How to use the tracker

Add one row per migration object per cycle. Enter source counts from the legacy extract, loaded and error counts from the migration tool logs, and update status. The sheet computes remaining records and the success rate. Compare cycles to prove error rates are falling before go-live.

Reading readiness

A good trend matters more than one number. Many programs expect each mock to reduce errors, with dress rehearsal reaching a threshold the business signs off, often well above 98 percent for critical objects. Blocked objects, such as BOMs failing on missing materials, show dependency problems. Fix the root cause once in the source rather than patching records.

  • Load work centers before routings
  • Load materials before BOMs
  • Track errors by theme
  • Rehearse the timing of the final load

Common mistakes

Counting a record as loaded when it passed technical load but has wrong content. Not reconciling counts against the legacy system. Leaving production versions to the end, which blocks planning tests.

Frequently Asked Questions

What load order is typical for PP?

Plants, work centers and materials first, then BOMs, routing and production versions, with planning data such as MRP views loaded with materials. Dependencies in your tool decide the final order.

How many mock loads are needed?

Most projects run at least two or three mocks and a dress rehearsal. The count depends on data quality and the size of the scope.

What success rate is acceptable?

Set it by object. Critical objects usually need near complete loads, while some history can be loaded later. Agree thresholds with the business before the cycles start.

Should errors be fixed in SAP or in the source?

In the source where possible, so each cycle is reproducible. Manual fixes in the target system are lost on the next load.

Netray can analyze legacy BOM and routing data to find errors before the first mock load.