Capstone: Building Your Own Migration Roadmap
Lesson 6, the capstone — Everything in this journey lands here: a real roadmap, built from your own readiness data, that survives contact with a steering committee instead of just a slide with a countdown on it.
Prerequisites
- Lesson 5: Data migration
Everything in this journey has been building toward one deliverable: a roadmap built from your own actual readiness data, not a generic template with a countdown pasted on top of it. This capstone is where the five prior lessons become one document you could genuinely hand to a client.
The roadmap, one picture
Why this roadmap survives a steering committee and a generic one doesn’t
A generic migration timeline is a set of assumed durations. This roadmap is a set of durations derived from your own data — the actual severity distribution from your assessment, the actual proportion of findings that are simple swaps versus genuine rewrites, the actual state of your master data from real DQ rule results. When a client sponsor asks “why does remediation take four months, not two?”, the honest answer is a specific number from Lesson 3’s severity breakdown — not “that’s roughly what these projects usually take.”
The one discipline that ties the whole journey together
Every lesson in this journey has quietly reinforced the same idea from a different angle: verify before you commit to a number, a date, or a claim — the mainstream-maintenance date in Lesson 1, the “unused” assumption in Lesson 4, the data quality assumption in Lesson 5. A roadmap built on verified specifics is defensible in a steering committee. One built on assumptions and templates is a guess wearing a Gantt chart.
Try it yourself — the actual capstone
Using the four-phase structure above, draft a real roadmap for a landscape you know: an actual estimated severity distribution, an actual remediation sequence based on it, an actual data-quality checkpoint before cutover, and cutover time counted backward from a deadline you’ve verified rather than assumed. If any of the four boxes has to be filled with a guess instead of a real number, that’s exactly where your next piece of work should go — before the roadmap goes in front of a client.
You’ve finished S/4HANA Migration & Clean Core
From “the countdown already running” to a roadmap built on your own verified data — that’s the complete arc. Combined with SAP AI Foundations and Build SAP AI Agents, you now have the full picture: the clean foundation this journey builds, and the AI capability the other two journeys build on top of it.
Where to go next:
- Run the real assessment behind Lesson 3: a free readiness scan.
- See what AI can safely do once this foundation is in place: SAP AI Foundations.
- Modernise the ABAP toolchain itself while you’re at it: the ABAP Cloud & Modern Dev journey.
Key takeaways
- A defensible roadmap has four phases whose durations come from your own data — assessment, remediation, data cleaning, cutover — not from a generic template.
- The single discipline running through this whole journey: verify before you commit — to a date, an “unused” assumption, or a data-quality claim.
- A roadmap built on verified specifics survives a steering committee. One built on assumptions is a guess wearing a Gantt chart.