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Sinfony

DMS · Documentation

Make your DMS talk: the data X-ray of a document repository.

How much does your documentation system cost? How many expired documents are still in circulation? Who really writes what? Most organizations have no idea. And yet the DMS (document management system) holds all the answers — you just have to let the data speak.

~€40M/year

the estimated cost of ownership of a documentation system at a large healthcare group — writing, revisions, approvals, distribution, reading. An invisible budget, never managed as one.

Order of magnitude from a Sinfony assessment (healthcare manufacturer, corpus of tens of thousands of documents).

We manage inventory, production, quality… but almost never documentation, even though it consumes thousands of hours and weighs heavily. The first step isn't to simplify: it's to measure. By exporting and analyzing the DMS metadata, you get an objective X-ray of the real state of the repository.

The real problem

We simplify blindly, without knowing where it hurts.

Launching a simplification effort with no assessment means trimming at random. Where are the expired documents still being circulated? Which processes concentrate over-revision? Who are the few authors carrying the load? How many documents does an operator really need to open to do the job? The DMS data answers — and points the effort where it pays off.

What the data reveals

Six truths the DMS won't tell you on its own.

Recurring findings across repositories of tens of thousands of documents.

~8%

expired documents in circulation

Documents past their expiration date, never archived — so still potentially used at the workstation.

up to 74

versions of a single document

Over-revision flags unstable documents, patched over and over without ever fixing the root cause.

30% → 80%

author Pareto

A minority of authors (~30%) carry 80% of the changes. Training them first multiplies the impact.

3.3

approvers per document

Every extra approver lengthens the workflow. Going back to 2 speeds things up without weakening control.

4 docs

opened for a single workstation

Useful information is scattered across procedures, appendices and records: documentation efficiency measured at 57–66%.

14 → 7

references per process

A single process carried by 14 procedures and 80 appendices can fit into 7 documents, with no appendix — the data proves it.

The method

Four readings of a DMS export.

From the metadata (type, status, dates, revisions, authors, approvers), you build a manageable view.

Reading What you look at What you decide
LifecycleStatus, effective / expiration / archiving datesPurge expired documents, archive, de-risk the WIP
StabilityNumber of revisions, frequency of changesTarget documents to rebuild at the root
StructureRatio of procedures / instructions / appendicesRationalize the pyramid, remove duplicates
GovernanceAuthors, approvers, issuing functionsTrain key authors, streamline approval workflows

From assessment to action

Immediate quick wins.

Even before rebuilding the corpus, the data triggers fast gains.

  • Cap the number of approvers

    Go from 3 to 2: shorter workflows, no loss of control.

  • Train key authors

    Target the ~30% of authors who carry 80% of the changes.

  • Go / no-go committee

    Decide before creating or editing: stop the inflation at the source.

  • Documentation dashboard

    Routinely track cost, lifespan and the author Pareto.

Frequently asked questions

Analyzing your DMS: the essentials.

Make your DMS talk before you simplify it.

From a simple export, we produce the X-ray of your repository and quantify the potential.