The best use cases from our team
Notify downstream consumers of impacts
Consumers of data are aware of potential problems in advance.
Review historical lineage for regulatory inquiries
Review lineage at a historical point in time.
Allocate compute resources dynamically
Improve resource utilization and reduce processing delays.
Load existing metadata (in bulk)
Enrich your metadata with pre-existing, external metadata.
Automated key rotations
Automate the rotation of keys used for data store credentials to improve security.
Continuous validation of metric calculations
Ensure that calculations are accurate and identify problems.
Build an exception queue for certification
Maintain a minimum acceptable standard for certified metadata.
Alert BI users when there is an upstream data failure
Proactively alert BI users of potential problems with their reports.
Propagate metadata to connected assets
Help users avoid spending time copying and pasting information.
Enrich user experience in BI tools with additional metadata
Make consumers aware of potential problems in advance by alerting them right on time
Maintain once, distribute anywhere access policies
Protect data regardless which tools are used to access it.
Security and compliance reporting
Report on interrelated metadata for security or compliance purposes.
Clean up data landscape by removing duplicate assets
Prevent duplicate assets to reduce costs.
Dynamic data pipeline optimization
Reduce unnecessary data processing and improve resource utilization.
Automate classification of data assets, for consistency and to reduce human effort.
Data landscape insights
Create a holistic, sliceable reporting view of the data landscape and its users.