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INSIGHTS · MECHANISM COMPARISON

Is mining email and tickets the same as capturing tacit knowledge?

It solves part of the problem, not all of it. Tools that analyse tickets, email and transcripts find what was already written down somewhere — and a lot of operational knowledge never generates a record at all.

Why doesn’t a large share of undocumented decisions mean a share that mining can capture?

Part of that share leaves an indirect trail — an email, a ticket — and mining reaches it. Another part never generates an artefact: decided in the hallway, resolved by phone, adjusted without anyone writing a line. That second part only exists if someone asks.

Why is mined identity different from an anonymised conversation?

A ticket has an owner. An email has a sender. Mining that material preserves identification by construction — anonymising it afterwards is reconstruction, not architecture. Zthex's anonymity barrier exists because the information never arrived identified anywhere before being processed.

Mining finds the deviation in the record. Only the conversation tells you whether that deviation is your best hidden practice or your next problem.

On reconstructing the process from the record, and its limits: process mining · PM4Py.
// same reason as the previous page: similar enough to confuse, different enough to matter.

// relacionado: the three sources · what is never stored · where mining doesn’t reach

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