Data Architecture
One source of truth — zero guesswork
Your data lives in 12 different tools and nobody trusts any of it. We build unified data architectures on BigQuery and Looker that give your team real-time, reliable numbers — so every decision is backed by data you can actually trust.
Why most eCommerce data stacks are broken
Every tool tells a different story
Shopify says one number, GA4 says another, your ad platforms claim triple the conversions. Without a unified data layer, you're making decisions on conflicting information.
GA4 is misconfigured
Missing events, duplicate transactions, broken enhanced ecommerce — most GA4 setups are fundamentally wrong. Bad data in means bad decisions out.
Reporting takes hours, not seconds
Your team spends half their week pulling data from five platforms into spreadsheets. By the time the report is done, the data is stale and the opportunity is gone.
No single source of truth
When the CEO asks "how much revenue did we do last month?" and three people give three different answers — that's a data architecture problem, not a people problem.
Our data architecture system
GA4 event architecture
We audit and rebuild your GA4 implementation from scratch — proper enhanced ecommerce tracking, custom events, user properties, and server-side tagging where needed.
BigQuery data pipeline
We connect all your data sources — Shopify, GA4, Meta Ads, Google Ads, Klaviyo, and more — into BigQuery with automated ETL pipelines. One warehouse, one truth.
Data modeling & transformation
Raw data is useless. We build dbt-style transformation layers that turn messy raw tables into clean, business-ready models — customer LTV, cohort analysis, attribution, and more.
Looker Studio dashboards
Real-time dashboards that answer your team's actual questions. Executive overview, marketing performance, product analytics, retention metrics — all auto-updating, all trustworthy.
Multi-source attribution
We build cross-channel attribution models that reconcile ad platform claims with actual revenue. Know your true ROAS and MER — not the inflated numbers platforms report.
Ongoing monitoring & support
Data pipelines break. Schemas change. We monitor your entire stack, fix issues proactively, and evolve your dashboards as your business grows and questions change.
What we build
FAQ
Why BigQuery instead of other data warehouses?
BigQuery is serverless, scales automatically, and integrates natively with GA4, Looker Studio, and Google Ads. For eCommerce brands, it offers the best combination of power, cost-efficiency, and ecosystem fit. Most clients pay under $50/month in BigQuery costs.
How long does setup take?
A typical implementation takes 2–4 weeks: week one for GA4 audit and fix, week two for BigQuery pipeline setup, weeks three and four for dashboard build and QA. You'll have a working system within 30 days.
Do we need a data team to maintain this?
No. We build self-maintaining systems with automated pipelines and monitoring. We also offer ongoing support plans if you want us to manage the stack, add new data sources, and evolve dashboards over time.
Can you work with our existing analytics setup?
Absolutely. We audit what you have, fix what's broken, and build on what's working. We don't rip and replace unless it's truly necessary — we enhance and extend your existing investment.
What data sources can you connect?
Shopify, GA4, Meta Ads, Google Ads, TikTok Ads, Klaviyo, Gorgias, Recharge, Amazon, and 50+ more. If it has an API or export, we can pipe it into BigQuery and unify it with everything else.
Related services
Stop making decisions on data you don't trust
Free data audit — we'll map your current stack, identify gaps, and show you exactly what a single source of truth looks like for your business.
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