PI System Data Resiliency  ·  Tag Cleanup
Clean up PI tags without breaking the business
Most PI teams know they have too many tags. The problem is knowing which tags are used, which are stale, which are duplicated, and what will break if a tag is deleted, renamed, or changed. Tycho makes the blast radius visible before you act.

The real blocker is blast radius

Teams do not hesitate to clean up tags because they are lazy. They hesitate because they cannot see what depends on a tag. A tag that looks unused might feed an AF attribute, a PI Vision display, a scheduled report, an analytics pipeline, or a compliance calculation. Tycho maps those dependencies so cleanup becomes a confident decision instead of a risky guess.

AF Attributes

Is the tag referenced in an AF attribute, analysis, or template? Removing it silently breaks calculations across asset hierarchies.

PI Vision Displays

Is the tag used directly in a display symbol or display-level calculation? Operators will see an error instead of a value.

Downstream Consumers

Reports, analytics pipelines, exports, and external platforms that pull from PI may silently stop receiving data.

Find unused, duplicate, stale, and orphaned tags

PI estates grow organically over decades. Tags accumulate from projects, acquisitions, temporary installations, and undocumented decisions. Tycho categorizes tags by condition so teams know exactly what they are dealing with.

Stale tags

Tags that have not received fresh data for days, weeks, or months. May indicate failed interfaces, decommissioned instruments, or orphaned configuration.

Unused tags

Tags with no references in AF, PI Vision, reports, or known consumers. Candidates for cleanup if lifecycle ownership is established.

Duplicate tags

Multiple tags measuring the same signal, often from different naming conventions or migration events, with no record of which is canonical.

Orphaned tags

Tags with no parent context in the asset hierarchy and no documented owner. Uncontextualized data that no one manages.

Naming inconsistencies

Tags that violate site naming conventions, creating discovery friction and making lifecycle management harder across teams and sites.

Missing ownership

Tags with no assigned owner, making it impossible to make informed lifecycle decisions or identify who to consult before a change.

Understand downstream usage before cleanup

For each candidate tag, Tycho traces the full dependency chain. You see every AF attribute, analysis, PI Vision display, and known downstream consumer before making any change. This turns a risky cleanup into a structured, documented process with a known impact radius.

PI Tag AF Attribute AF Analysis PI Vision Display Downstream Consumer

Reduce cost and complexity safely

Tag count is not just a governance metric. In PI environments with consumption-based licensing, unused tags represent wasted spend. But tag reduction is only valuable when it is safe. Tycho ensures that every tag removal decision is grounded in a complete picture of usage, ownership, and downstream risk — so no cleanup creates a new problem.

Start with a PI tag usage assessment

Get a clear view of your tag population: what is stale, unused, duplicated, and orphaned — and what depends on each one before you act.

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