Updated in Version 6.0
Collections are K's framework for grouping, classifying, and governing data assets across your ecosystem. Unlike tags, collections are governed structures with defined hierarchies, roles, and automation rules — making them the right tool when consistency and accountability matter.
Collections are used across data discovery, knowledge management, and data governance — from automatically flagging PII to linking business glossary terms to technical assets.
Organise your data estate with a consistent structure
The outcome: Data teams can group and classify data assets using a defined framework that all users understand — with automation rules to keep linkages current and governance controls that manage who can create or modify collections.
How K delivers this:
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Role in this outcome |
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K's built-in platform collections (Zone, Usage, PII) provide out-of-the-box structure that's automatically maintained by the platform — no manual effort required |
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Domains and sub-domains are managed as collections, giving governance managers a structured way to align data assets to business areas |
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Make large-scale updates to collection instances using Excel templates — without manual one-by-one changes |
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Visualise what's been linked to a collection and identify lineage-based coverage gaps — then link missing items directly from the map |
Who this is for: Data Governance Managers, Data Managers, and K Administrators.
Surface, identify and act on sensitive data
The outcome: PII and sensitive data is automatically detected and flagged through the platform's scanning capabilities — giving governance teams clear visibility of exposure risk and enabling fast, targeted remediation.
How K delivers this:
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Feature |
Role in this outcome |
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K's automated scanner detects PII in tables and columns and links them to dedicated PII collections — making sensitive data immediately searchable, filterable, and governable |
Who this is for: Data Governance Managers and K Administrators.
🔒 See Data Governance for K's full governance toolset — including PII detection alongside change management, impact assessment, and DQ integration.
Connect business language to technical data
The outcome: Business users can navigate and understand technical data assets using familiar terms, while governance teams maintain control over shared vocabulary through structured, searchable glossaries.
How K delivers this:
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Feature |
Role in this outcome |
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Glossaries are a specialised collection type — structured hierarchically, with searchable terms linked directly to data assets and surfaced on the Data Profile page |
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Understand when to use a governed collection versus a flexible tag — and which approach suits different users and use cases |
Who this is for: Data Governance Managers, business analysts, and data product managers.