Data & Configuration Suite · Module 1 of 3

DataLift

Master data quality, measured like any other business figure.

QUALITY SCORE 86 TREND target Material89 Customer74 Vendor61
The challenge

The same master data feeds planning, procurement, production and finance. Everyone agrees it is a problem — but nobody can say how big it is, where it sits, or whether it is getting better.

What you get
  • A quality score by object, plant and owner, tracked against targets
  • Rules defined by the business, in simple language — no coding
  • Checks run inside your SAP system; nothing is extracted
  • Faster, safer migrations: you know what to clean before you move it
How it works
From define to improve
01
Define
An expectation becomes a rule with an owner, target and weight
02
Measure
Approved rules run on live data, on demand or scheduled
03
Analyze
A weak score drills down to the records behind it
04
Improve
Corrections run through standard processes; the next run proves it
Example
A rule requires every finished-goods material to carry a shelf life and a storage condition. DataLift lists every record that fails it, by plant and owner — and the trend shows when the gap is closed.
In the product
DataLift dashboard: quality score, trend by dimension and results by object (sample data)
DataLift dashboard: quality score, trend by dimension and results by object (sample data)
DataLift in practice
Fast to start, safe to run
48 h
From installation to first score
We install and run the first analysis with you.
100+
Best-practice rules included
Material and business partner data — adopt, adapt or extend.
In place
Nothing leaves your system
Rules are evaluated against live tables in your SAP.
Recorded
Every run is logged
Figures, date, time and user — reproducible months later.
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