Data quality issues rarely happen at random in your stack.
Maybe a threshold was adjusted, logic was updated, or a condition was added.
But for many data teams, those changes are invisible and it’s unclear why they happened.
Data Assets and Expectations evolve as data, schemas, and business requirements shift.
Without clear visibility into those changes, teams are left guessing when something breaks,digging through configs, retracing steps, and trying to answer a simple question: what changed?
This lack of transparency creates real challenges like making debugging failures take longer, not being sure who owns the changes made, and adoption being more difficult because of a lack of auditability and trust.
Data quality requires visibility and accountability in addition to validation.
That’s why we’ve brought some updates to Expectation history and Data Asset history in GX Cloud.
A complete audit trail across your Data Assets and Expectations
Expectation and Data Asset History give you visibility into changes at both levels, allowing you to see how datasets, structure, and configurations evolve.
Together, these give you a complete view of how your data quality system changes over time, from the dataset itself down to the validation logic applied to it.
This makes it easier to debug, collaborate, and govern data quality at scale.
What You Can Do
Expectation and Data Asset history are designed to make day-to-day data quality workflows faster and more reliable:
Debug failures faster
When an Expectation or Data Asset that was previously passing starts failing, you can quickly trace it back to recent changes—without guesswork.
Understand ownership and intent
See exactly who made updates across your team, improving collaboration and accountability.
Track how Expectations and Data Assets evolve
Neither Expectations nor Data Assets are static. Now you can understand how they’ve changed over time as your data and requirements evolve.
Support governance and compliance
Maintain an audit trail of changes across both your Data Assets and validation logic to meet enterprise requirements and internal controls.
How It Works
Expectation history and Data Asset history are built directly into GX Cloud and accessible today.
From the Expectations or Data Asset views, you can open a history drawer to see the most recent changes. Each event includes the user who made the change, a timestamp of when it occurred, and a clear view of what changed, including before and after values.
That gives you a complete picture of how your validation logic and data quality evolve.
Why This Matters
As data teams scale, Expectations and Data Assets can’t be managed by a single person. Data quality is a team sport with everyone taking responsibility to share, update, and refine Expectations and Data Assets across teams.
Without visibility into those changes, debugging slows down, trust erodes, and governance becomes difficult to maintain.
Expectation and Data Asset history addresses this by making every change transparent and traceable, giving you faster root cause analysis, greater confidence in your data pipelines, and better collaboration across teams.
Get Started
Start using GX Cloud today to gain deeper visibility into your Expectations and Data Assets, accelerate debugging, and strengthen governance across your data workflows.
👉 Learn more and try it in GX Cloud.
