Do we need BigQuery for a Looker Studio dashboard?

Not always. It becomes useful when several sources must be joined, history must be retained, calculations need control, or live connectors are too fragile for the reporting requirement.

How does Meta data get into BigQuery?

Through an approved connector, partner transfer, or API process selected for the account and maintenance budget. The raw Meta extract stays separate before any documented reporting model combines it with other sources.

Who pays the cloud bill?

The client owns the cloud project and pays the platform cost directly. Cost controls and expected refresh behavior are documented as part of the build.

Report and maintain

BigQuery for marketing data

Bring GA4, advertising, CRM, booking, and sales data into reporting tables your business owns.

Start the tracking audit

Start with the tracking audit

Why buyers call

Dashboards pull live data from several platforms, history keeps changing, and nobody can explain how the figures were joined.

What gets done

Inside the scope

We set up BigQuery when your team needs reliable history, several data sources in one report, or calculations that live connectors cannot support. GA4 exports, approved ad-platform data, and business records stay separate in their raw form. Documented tables then join only the fields your team has agreed to use, inside a Google Cloud project the client owns.

01
Set up or review the client-owned Google Cloud project, billing, permissions, and datasets
02
Connect GA4 export and approved ad-platform or business-system sources
03
Separate raw data from modeled reporting tables and document every material calculation
04
Schedule refreshes, data-quality checks, retention, and cost controls

How it is proved

Verification standard

Source freshness, row coverage, join behavior, permissions, and scheduled transformations are checked. Important totals are compared with the source system as a QA control, not used to claim every platform should agree.

What you receive

The handoff

Configured client-owned BigQuery project and datasets
GA4, advertising, and business-data connections in scope
Documented reporting tables and calculations
Refresh, quality, permission, and cost notes

Result

A durable reporting layer that keeps history, joins the agreed sources, and shows how each figure was calculated.

Questions that come up

Do we need BigQuery for a Looker Studio dashboard?
Not always. It becomes useful when several sources must be joined, history must be retained, calculations need control, or live connectors are too fragile for the reporting requirement.
How does Meta data get into BigQuery?
Through an approved connector, partner transfer, or API process selected for the account and maintenance budget. The raw Meta extract stays separate before any documented reporting model combines it with other sources.
Who pays the cloud bill?
The client owns the cloud project and pays the platform cost directly. Cost controls and expected refresh behavior are documented as part of the build.

Start the tracking audit

The first paid step checks the journey and defines the smallest useful build.

Send the domain, the customer journey, and the platforms that should receive it. The tracking audit shows what is working, what is missing or duplicated, and the exact build recommended next.

Start the tracking audit

Paid, fixed scope · Within ten business days after complete access