Why Metadata Governance Makes or Breaks Your DAM
A DAM without a metadata strategy is just an expensive shared drive. Here is how to design a governance model that actually gets adopted.
The single biggest predictor of DAM adoption failure is poor metadata governance. Teams invest in a platform, migrate their assets, and then watch usage drop off within six months because nobody can find anything. The culprit is almost always the same: a metadata schema designed by IT without input from the people who will use it daily.
Start with search behaviour, not taxonomy theory. Interview the people who search for assets most frequently. What words do they use? What attributes matter to them — product line, campaign, rights status, expiry date? Build your schema around their mental model, not a theoretical hierarchy.
Mandatory fields kill adoption. Every mandatory field that is not obviously useful to the person uploading an asset will be gamed — filled with placeholder text, set to Unknown, or worked around entirely. Make only the fields you truly need mandatory, and make the rest easy to fill in.
AI auto-tagging is a complement, not a replacement. Jahia's DAM can suggest tags using image recognition and NLP, but these suggestions need a human review step until confidence is high. Build a review queue into your upload workflow from day one.
Governance is not a one-time exercise. Review your schema quarterly for the first year, retire tags that nobody uses, and add fields that keep being requested through workarounds.