Data Quality Monitoring. Catch tracking issues before they affect budget decisions.

Data Quality Monitoring Ongoing QA and support

I monitor GA4, GTM, campaign and dashboard data quality before silent issues reach business reports

Tracking breaks after site releases, CMP changes, tag edits and campaign updates. I create a practical QA process: checks, alerts, reviews and fix priorities for marketing analytics.

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Offer - what you get

Events and conversions

Checks for key events, purchases/leads, parameters, duplicates, consent and GTM changes.

Alerts and anomalies

Thresholds and review rhythm for campaigns, revenue, conversions and traffic sources.

Dashboard QA

Refresh status, metric consistency, sources, filters and permissions in Looker Studio or Power BI.

Fix roadmap

Prioritised issue list, technical recommendations and recurring data quality summary.

  • Best for: companies investing in paid media where silent tracking failures are expensive.
  • Model: recurring QA audit or an ongoing analytics subscription module.
  • Outcome: faster issue detection, fewer reporting surprises and more confidence in budget decisions.

Quality monitoring is the operational part of data management - if you are building a framework from scratch, start with the maturity checklist and Data Governance resources hub. After policies and a KPI glossary are in place, consider Data Governance consulting as well.

Krzysztof Surowiecki

Krzysztof Surowiecki. For years I have helped companies structure analytics so leadership, marketing and sales work from a single version of the truth.

  • End-to-end expertise: audit, implementation, reporting and ongoing data environment development.
  • Business perspective: recommendations focused on margin, profitability and growth pace.
  • Clear methodology, transparent communication and full confidentiality on every project.

Trust - why clients hand me their analytics

20+years of experience
150+projects
50+clients
7expert tools
  • One accountable person: I do not pass projects between departments - you work directly with me.
  • Consulting approach: diagnosis and priorities first, then implementation with measurable business impact.
  • Confidentiality and security: NDA and work standards suited to data-sensitive organisations.

Contact - let's take the first step

Tell me which data is business-critical. I will propose a monitoring scope and review rhythm.

Book a consultation