Why migration talent skews older, and how we fix the pipeline
The deep migration expertise sits with practitioners 45 and over. That is a strategic risk. An open learning path, mentorship, and visible recognition build the next pipeline.
Blog
Data migration insights
Methodology deep-dives, practitioner case studies, and best practice from the PDM community.
SaaS did not kill migration, it changed the battleground
No upgrades is not no migration. Switching SaaS providers carries real, often underestimated migration cost: schema gaps, process coupling, extraction reality, and ownership.
From war stories to reusable practice in data migration
A war story helps one team once. The shift that matters is from anecdote to artefact: turning hard-won lessons into checklists, rules, and mappings the next team can reuse.
Why first migrations feel chaotic, and how structure fixes it
The first migration almost always feels chaotic. That is not a sign the team is weak; it is a sign the work was never structured. Structure is what lifts the fog.
Why legacy companies lose speed, and how migration capability fixes it
Legacy is not only a technology burden. When migration is not a standing capability, strategy itself slows down. Migration discipline is strategic optionality.
Older posts
- 19 July 2026Competing locally, improving globally in data migration
- 12 July 2026Winging migration is expensive and entirely predictable
- 5 July 2026Why data migration should stop being a lonely discipline
- 5 March 2026Data management in large projects
- 19 February 2026Building data ownership
- 19 September 2024From PDMv1 to PDMv3: how the methodology evolved - and what stayed the same
- 9 June 2024Data Migration Matters: building a community around a discipline
- 14 March 2024The origins of PDM: how a gap in the market became the industry standard
- 6 April 2022The journey to PDM: step 1