Data quality monitoring

Data quality monitoring

Know your numbers are right before anyone asks.

A report is only as good as the tag that fed it. Verity checks the whole chain, from the tracking on your site to the freshness of every source and the models behind your dashboards.

See how it works

Data pipeline

0/4 synced

Shopify

GA4

Meta Ads

Google Ads

Semantic layer

Orders

1,284

Revenue

€182K

Customers

964

Sessions

41.2K

Deduplicated

Shopify

1,284

·

GA4

1,309

Orders

1,284

deduped

From the tag on your site to the number on the dashboard

Tracking that actually fires

Scan your website for GA4 and other tracking tags, Google Consent Mode v2, and the funnel events from view item to purchase.

Consent that actually blocks

See which cookies are set before and after consent, and whether your consent banner holds tracking back until a visitor responds.

Campaign parameters that arrive

Check that gclid and UTM parameters survive the trip to your landing page and actually reach GA4.

Freshness and lineage

Every source shows how fresh it is, and the lineage view shows each model on the way to your dashboards and its status.

Schema changes, caught

When a column in your own data changes, Verity shows what it affects and walks you through remapping it.

dbt changes checked before merge

See which dashboards a dbt pull request would break, as a comment on the pull request, before it is merged.

Three checkpoints between your site and your report.

01

Scan your site

Tracking, consent and funnel events, checked on the pages that matter.

02

Watch the pipeline

Freshness per source, lineage per model, schema changes as they land.

03

Guard the numbers

Monitors on your guardrails email you when a key metric breaks them.

Built on

The parts of Verity behind it

Data quality monitoring runs on these parts of the platform.

Find the broken tag before your client does

Book a demo and see a website scan and source health for your own setup.

Contact sales