Data Discovery

Use data trust & knowledge to find the right data to use

K is your metadata copilot for finding the right data to use for any use case.

K tracks data trust and data knowledge to help every data worker to find the right data asset or product to use.

The K Differentiator

Trust as a critical factor for promoting the right data to use

Automated Trust Score

K scores the trust of every data asset. K uses a variety of signals to calculate trust including governance, usage and quality attributes.

Trust powered Search

K unified search engine leverages trust to promote the highest quality data asset to your business and technical use cases.

Trust infused lineage

K uses trust to help business and technical users visually navigate and discover key data flows.

Search for the right data to use

A single entry point to all of your data K's unified search experience enables business and technical users in your organisation to find the right data asset across databases, reporting platforms, ML feature stores, ETL tools and more.

Trust powered search results K uses trust to improve search relevancy and ensure that the most suitable, up to date, and relevant data asset is promoted.

Save time with search automations Users can create filters using all of the metadata collected to customise their search experience. Saved filters that helps a user save time can be easily shared to colleagues.

Visually discover dependencies and impacts Users can use K's best in class lineage maps to navigate the data ecosystem. Understand upstream dependencies, or downstream impacts from any data asset.
Personalise your map with custom filters, highlight trusted paths and drill through to knowledge.

“K allowed us to get our data migration started quickly, confidently track and deliver the migration, and now is a key part of how we manage and scale the correct use of data across hundreds of data consumers.”

James Gouletsas

Circular Economy Systems

Get started with KADA today.

Deploy and start seeing your data ecosystem in less than an hour

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