Services / Operations

Plumbing before dashboards.

Every report, dashboard, and AI model sits on top of data plumbing — and most marketing plumbing is spreadsheet exports and connectors that break silently. This is the plumbing itself: reliable ingestion, normalization, and warehousing for your marketing data. Here’s what it looks like, and what breaks without it.

What's included

Included

Boring in the best way.

Pipelines should be uneventful. We engineer them that way.

01

Marketing source ingestion

GA4, Search Console, Google Ads, Meta, and CRM exports pulled on schedule into stores you own, with retry and backfill logic.

02

Modeled for analysis

Raw, cleaned, and analytics-ready layers — normalized, deduplicated, documented, and tested. What each metric means for decisions is defined one layer up, in your intelligence architecture.

03

Warehousing

BigQuery-centered storage designed for cost control and query speed at your scale — data you own, not rent trapped in a vendor.

04

Monitoring

Freshness, volume, and schema checks built into every pipeline so breakage is caught at the source. Full measurement QA is its own discipline: observability.

How it works

From chaos to current.

We start with your most painful report and expand from proven patterns.

01

Map

Every source, its quirks, and its failure modes get documented.

02

Build

Pipelines ship with tests, monitoring, and runbooks from day one.

03

Harden

Backfills, schema evolution, and cost controls make the system production-grade.

Before you build.

Questions, answered.

Which warehouse do you build on? +

BigQuery by default, serverless, Google-native, and cost-effective at most scales. We adapt if you have an existing warehouse.

What about our messy spreadsheets? +

Especially those. Some of the highest-ROI pipelines start as 'the spreadsheet Karen updates every Friday.'

What breaks without this? +

Everything downstream. Dashboards go stale, connectors fail silently, and decisions get made on last month’s export. Pipelines don’t create insight — they stop insight from rotting.

Who maintains this? +

We can run it as a managed service or hand it over with documentation and training, your call.

Make the next move yours.

Tell us where it breaks.

Get your data score

60 questions · 10 infrastructure domains · 12–15 minutes · 0–100 score with prioritized recommendations. Next: observability and intelligence architecture.