The problem
Data teams discover quality issues after reports are already consumed by business users.
What DataGuard does
DataGuard continuously checks constraints, freshness, and lineage to stop bad data early.
How it works
Three steps to hand off the work.
- 1
Connect
Link your existing tools and map the data the bot needs.
- 2
Configure
Set rules, approvals and limits with your domain team: no coding.
- 3
Run & review
The bot works continuously with auditable output and human override.
Made for
- Data engineering teams
- Analytics teams
Control & compliance
Human approval checkpoints, traceable output and controlled safeguards are built in.
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Learn more →Want to see it on your own workflow?
Book a free demo. We set it up, migrate your data and support your team.