Data workers have limited knowledge of how data has been used, what data can be trusted and what issues exist.
K combines data discovery, data observability and knowledge management to makes it easy to discover, trust and understand the right data for the right use case.
You can trust K to scale the data know-how as you scale up your data workforce and data products.
Like Twitter, Data analysts can now receive personalised data updates to stay in the loop on the latest changes and new knowledge created.
Remove the noise and focus on what is important.
Track the usage of your data products from launch to decommission.
Understand lineage across data products, domains and teams to deliver a high performing data ecosystem.
Whether it's distributed or centralised governance you are looking for, K makes managing data assets easy.
Verify what data can be used for, track usage, and manage issues in a single place.
K automatically measures trust by tracking key features about your data products.
Data users can use this score to quickly discover the right data to use, and to support migration, audit, and governance use cases.
What's better than search?
A guide that knows what you need.
K brings a personalised experience to data discovery, telling each data worker about new reports, changes to data, and policy changes that matter to them
K tracks metrics about each of your data products to gain insight into their health and value.
Data producers and Owners can use these insights to manage their data product lifecycle from launch to decomissioning.
At the rate data grows, governing all data is an impossible task.
Using K, you can instead focus on governing data that is being used. K profiles and automates most of the governance effort, leaving you to spend time on what matters.
If you have spent lots of time troubleshooting data issues, you know the value of accurate, up-to-date lineage.
Use K to track lineage across products, domains and teams. Reduce the pain of changes by using our impact assessment tool to generate personalised updates to every impacted data worker.
Making technical and domain knowledge accessible is critical to scaling the value of data.
K automatically captures knowledge and creates feedback loops to capture additional context and create an always
up-to-date knowledge base