Migrating a technical-document archive without losing version integrity

Migrating a technical-document archive risks losing exactly the thing document control exists to protect — a verifiable version history — unless the migration treats version integrity as an acceptance criterion from the start, not a hope for the cutover weekend.

The risk is not hypothetical

23% of organizations experience some data loss during a migration (Kanerika, 2025). Poor data quality — duplicate, outdated, or corrupted records — affects an estimated 84% of migrations (Kanerika, 2025), and migration projects overall run over budget 64% of the time, with only 46% delivered on schedule (Kanerika, 2025). For a technical-document archive specifically, the failure mode that matters most isn't a missed deadline — it's a document that migrates with the wrong revision marked current, or a superseded version that silently becomes retrievable as if it were still valid.

What "version integrity" means as an acceptance criterion

A migration that preserves version integrity must be able to answer, for every migrated document: which revision is current, what the full revision history is, and who approved each revision — the same three questions a document-control procedure requires in steady-state operation. If the migration can't answer all three post-cutover, it has not preserved version integrity regardless of whether the file count matches.

How DCC enforces this in steady state

Efixera's DCC (document control, part of e-EDMS) enforces exactly one current version per document and monitors every revision — the same enforcement that has to survive a migration intact. A migration into DCC is scoped per module, with version integrity named explicitly as an acceptance criterion for that scope, rather than left as an implicit assumption about the source data's quality.

What this means practically for a migration project

• Audit the source archive's revision history before migrating, not after — Kanerika's 84% data-quality-affected figure includes exactly the kind of duplicate/outdated records that make "which version is current" ambiguous at the source.
• Migrate the revision chain, not just the latest file — a document with no prior-revision record is not migrated with version integrity, even if the current version is correct.
• Treat the migration scope per module, not as one all-or-nothing cutover — this is the same phased logic that applies to module adoption generally, and it reduces the blast radius of any single migration issue.

The honest state of this today

A fully documented, standardized migration method is still in progress — this page states that directly rather than implying a turnkey migration tool exists. What is fixed today is the acceptance criterion DCC's own document-control procedure already enforces in steady state: one current version, monitored revisions, per document.

Sources

• 23% of organizations experience data loss during migration; 84% of migrations affected by poor data quality; 64% over budget, 46% on-time delivery — Kanerika, "Top 10 Data Migration Risks and How to Avoid Them in 2025," 2025.
• DCC version-control enforcement: 02_Products_and_SaaS/e_edms.md.
• Migration-risk objection and current documentation gap: 03_Marketing_Engine/objection_library.md #4.