K is your metadata copilot for finding the right data to use for any use case. K's Data Discovery features enable business and technical users across your organisation to find, evaluate, and navigate data assets across databases, reporting platforms, ML feature stores, ETL tools, and more — with the confidence to know whether to trust what they find.
Teams using K report up to 75% decrease in data discovery efforts.
The Data Discovery journey
Data Discovery in K follows a natural flow. Users typically start by searching for assets by name, keyword, or linked relationship. Results are ranked using K's Trust Score — a unique algorithm that promotes the most reliable and well-documented assets to the top. From search results, users land on a Data Profile: the single source of knowledge for any data asset, combining automated metadata with governance context, lineage, usage, and quality signals in one place.
For a higher-level view, the Ecosystem Map shows how all connected sources and tools sit within your data architecture — useful for architects and solution designers. Personalisation surfaces each user's most relevant assets, recent activity, and alerts so they stay current without extra effort. And Ask K lets data managers and administrators run self-service exports — combining search filters with structured templates to answer operational questions on demand.
Features
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Description |
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A unified search experience across all integrated data sources and tools. Search by keyword, apply filters across asset type, owner, tag, or quality status, and save filter configurations for reuse. Results are ranked by Trust Score. Includes Linked Search for finding related parent and child assets, and a Filters Page for accessing saved searches. See also: Search Results Page · Search Filter Tips |
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The central source of knowledge for any data asset — combining automated metadata with manually curated context so users understand how, where, and when to use it. The profile hosts tabs for Overview, Usage, lineage, and Quality — and is where ownership, classifications, governance attributes, and knowledge are captured. See also: Sidebar · Change History · Warning Notice |
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K's unique algorithm calculates a trust signal for every data asset based on usage frequency and variety, documentation quality, lineage availability, domain assignment, verified use cases, and open issues. The Trust Score serves two purposes: it guides data consumers toward reliable data, and it helps governance managers identify which assets need attention to drive adoption and confidence. |
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A visual representation of your data ecosystem showing how database sources and content tools are connected, organised into swim-lane layers that reflect your data architecture (e.g. Sources → Processing → Reporting). Particularly useful for architects and solution designers who need a high-level view of system connectivity and domain coverage. |
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Tailors each user's experience to the data they work with. The Home Page and K Feed surface relevant asset changes and governance updates. My Workspace gives quick access to recently used assets, saved filters, and Data Lists. K Notifications keep users informed via K Alerts and the K Daily Briefing. |
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A self-service export tool that lets data managers and administrators interrogate the data ecosystem without writing queries. Users scope their target assets using search filters, then select from structured templates covering properties, governance attributes, usage metrics, access records, and PII scanner configuration — and download results as a formatted Excel export or schedule automated delivery. |
Who this is for
All K users — especially data consumers and analysts onboarding to new data products. Governance managers will also find Data Profiles, Trust Score, and Ask K central to their day-to-day work. For governance-specific features built on top of Data Discovery, see Data Governance.