Validating Data as a Product
Move beyond "data as an asset" to "data as a product." This guide provides a comprehensive framework for validating usability, trustworthiness, and value before data ever reaches the consumer.
Trustworthy
Validation ensures data is accurate, consistent, and reliable every time.
Consumable
Products must have clear contracts, schemas, and documentation.
Discoverable
Metadata and cataloging make the product easy to find and understand.
The Validation Lifecycle
Validation isn't a single step; it's a continuous lifecycle. Click on the stages below to explore the specific validation checks required at each phase of the data product journey.
Validation Metrics
To treat data as a product, you must measure it like one. These visualizations demonstrate how to track data health across six key dimensions and monitor reliability over time.
The 6 Dimensions of Data Quality
SLA Compliance Trend
Product Readiness Assessment
Validate your dataset against core product principles. Check the boxes that apply to see your readiness score.