# 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. 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. ## 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. ## 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 | | --- | --- | --- | | Lifecycle | Status, effective / expiration / archiving dates | Purge expired documents, archive, de-risk the WIP | | Stability | Number of revisions, frequency of changes | Target documents to rebuild at the root | | Structure | Ratio of procedures / instructions / appendices | Rationalize the pyramid, remove duplicates | | Governance | Authors, approvers, issuing functions | Train key authors, streamline approval workflows | ## 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. ## From assessment to simplification. [Documentation ### Simplify 800 documents Once the assessment is done: the method to halve the layered paperwork. Read the article →](/en/blog/simplify-800-documents-documentation-volume/) [AI tool ↗ ### Maestro The AI that analyzes the corpus, detects redundancies and contradictions and recomposes the documentation. maestro.sinfony.ai ↗](https://maestro.sinfony.ai/en) [Consulting ### Document & capture Align documentation, training and practice on one single source of truth. Learn more →](/en/consulting/documentation-training/) ## Analyzing your DMS: the essentials. What is the data analysis of a DMS? + It's the use of the metadata from a document management system (type, status, dates, revisions, authors, approvers) to build an objective picture of the repository: volume, obsolescence, stability, structure and governance. A quantified X-ray, a prerequisite to any simplification. How much does a documentation system really cost? + Far more than you'd think: at a large healthcare group, the cost of ownership of a documentation system was estimated at an order of magnitude of €40M/year, adding up writing, revisions, approvals, distribution and reading time. This cost almost always stays invisible because it is never managed. Why analyze before simplifying? + Because simplifying without an assessment amounts to trimming at random. The data reveals where expired documents, over-revision, duplicates and author load concentrate — and lets you prioritize the effort where it creates the most value, with immediate quick wins. What quick wins can you achieve? + Purge the expired documents still being circulated, cap the number of approvers, train first the minority of authors who carry most of the changes, set up a go/no-go committee before creation, and manage it all through a documentation dashboard. All actions you can trigger right from the assessment. ## Make your DMS talk before you simplify it. From a simple export, we produce the X-ray of your repository and quantify the potential.