I helped build a classification matrix worth seven figures, and nobody ever used it.
That program ran for hours, then days, then weeks. We interviewed hundreds of people, or it seemed that way, and everyone had a different way of describing the classification. The taxonomy was broken. Nobody knew where the data was or whether it sat in the right place, and everyone found exceptions to their own statements before the meeting ended.
All that work produced a matrix so vast it was unusable, and paring it down was a literal knife fight. The complexity itself was the barrier. We ended with more than 27 categories, and every one of them had a sponsor passionate about its necessity. Each sponsor insisted their category was so unique it required its own identification, storage, use and protection, and they fought every attempt to put it in what they called a generic category.
This is what kills this type of project.
I don't trust the postmortems on programs like that one to say so honestly. They blame the tool, or the budget, or a business that wouldn't engage. What actually happened is that we tried to describe all of the data before protecting any of it, and every interview made the description bigger.
So flip the order and classify the part people actually touch. File shares, SharePoint sites and databases already record what gets opened, and that record is a ranking your colleagues built for you without anyone having to ask them. The files opened every day are the ones that get emailed, copied, synced to a laptop and attached to the wrong thread. Exposure follows use.
Ten items is small enough that nobody needs a matrix. You need a handful of labels you can recite without looking them up, because if you can't, the person saving a file in a hurry won't apply them either.
I haven't run this exact sort myself. I'd still bet on it over another round of interviews, because it ends the day with ten labeled items you can defend, and the interviews ended with a document.
Access counts have a blind spot. They miss the data nobody opens, and in eDiscovery the data nobody opens is exactly what surfaces at the worst possible moment. That's a different problem with a different method, and it's Wednesday's piece.
So, here's the MondayMove
Pick one data store, sort it by access count, and classify only the top ten files or tables, using no more labels than you can name from memory.
Start small enough to finish.
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