Service
Data quality and discrepancy review
When GA4, the CRM, ads platforms, and the warehouse disagree on the same conversion, we reconstruct the path until the mismatch has a cause.
Leadership cannot act on a funnel if three tools report three different counts for the same week. We pull raw event extracts, compare identity rules, look at timezone and currency settings, and test how filters, data-retention windows, and attribution lookbacks reshape the same underlying hits.
The work is forensic rather than decorative. We do not rebuild your dashboards first. We establish which number is closest to the business event, which number is an artefact of sampling or consent, and which number is simply wrong.
The report names the discrepancy, shows the evidence, and states what must change in the application, the tag, or the downstream model before the next board pack.