Trusted by industry leaders
Make data users‘ expectations explicit and visible, and keep them accountable with Data Contracts.
Trusted by industry leaders
Define natural or digital concepts, such as “Person” or “App”, and assign them specific tables
Prescribe expected columns, their types, and meaning, and relate assets to one another
Achieve consistent metric definitions across the board
Ensure your tables meet specific schemas, column conditions, and quality tests
Specify the quality expected from asset owners, and notify them when it is not met
Attach logic to data contracts — it will apply automatically, triggered by compliance events
Align your data function by working towards contract requirements
Break down silos by standardizing the data model across your organization
Accept, decline, and manage change requests
A LEADING DIRECT-TO-PATIENT TELEHEALTH COMPANY
Entity definitions
Fully define the represented entities in a table. Give meaning and define the expected type for columns.
Contract relationships
Indicate the relationships between data contracts. Support inheritance and foreign key relationships.
Metric definitions
Enable consistent metric definitions by specifying the contract properties used for calculating them.
Automated accountability
Specify quality and business requirements on tables, and hold data stewards accountable.
Contract logic
Fire specific pipeline or governance actions in the event of contract compliance or contract breaches.
Alignment management
Standardize the data model of your organization, and manage your stakeholder’s change requests.
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