SAP Migration · 6 min read · October 2025
How to measure SAP data readiness across six dimensions
By Thinklytics Partners, SAP S/4HANA Practice
Measuring SAP data readiness means scoring six things before you commit to a date: master data, data quality, custom code, reporting, scope, and ownership.
Topics covered
- Data Readiness
- Assessment
- S/4HANA
- Master Data
Frequently asked questions
What is SAP data readiness?
It is how ready your data, custom code, and reporting are for an S/4HANA migration, measured with evidence before you commit to a date and budget.
What are the dimensions of readiness?
Master data quality, data quality, custom code, reporting dependencies, scope decisions, and program ownership. Each is scored against the real condition of your system.
How do we score readiness?
Rate each dimension from zero to five. A low total means committing now invites overruns. A high total means you can commit with confidence and documented proof.
Which dimension usually scores lowest?
Master data and reporting most often drag the score down, because both accumulate problems quietly over a decade on ECC.
What produces a readiness score?
A Blueprint and Readiness Assessment, a four-week diagnostic that profiles your data and code and visualizes the result on a Migration Risk Dashboard.
Why measure before committing?
Because commitments made before the data is measured are the root of most overruns. Measuring first is the cheapest way to de-risk the program.