Skip to content
~/reflective_data

services / bi-reporting / data-studio

Looker Studio (Data Studio) dashboards and audits.

We build fast, reliable Looker Studio reports on solid data sources, so dashboards stay accurate and quick.

✦ Ready for the AI era. Reports built on a governed warehouse are AI-ready too. We connect Looker Studio to clean, defined metrics.

schedule-consultationget-quote

trusted by data teams at

NextEra Energy Invesco Adorama Adlibris StubHub Educative camino/financial

✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.

what we do

Looker Studio (Data Studio), implemented and audited by experts

Implementation

  • Report design and templates
  • BigQuery and warehouse data sources
  • Blended and calculated metrics done right
  • Performance and sharing setup

Audits

  • Report speed and quota review
  • Connector and data-source health
  • Metric definition consistency
  • Access and sharing review
rd audit — data-studio
rd audit --data-studio

✔ reports on governed sources
✔ templates standardised
! slow reports on live connectors
! calculated fields duplicated
✗ public sharing on sensitive reports

1 critical · 2 warnings · 2 passed

// illustrative

in practice

What working with Looker Studio looks like

how-it-works.md

How it works

  • It connects directly to BigQuery, Google Ads, GA4 and many other sources through connectors
  • Pre-aggregated tables and BigQuery BI Engine keep reports fast and costs low
  • Data blending is limited, so complex logic belongs in the warehouse
  • Templates and a consistent design make reports easy to reuse and maintain
problems-we-fix.md

Problems we fix most often

  • Reports that hit BigQuery with expensive queries on every load
  • Blended data that behaves unpredictably
  • Dozens of one-off dashboards with different numbers
  • Connector limits and quota errors

where it fits / Looker Studio is a quick, low-cost way to share reporting, especially in the Google ecosystem. For governed metrics at scale, we pair it with a semantic layer or move to a heavier BI tool.

faq

Frequently asked questions

Is Looker Studio enough, or should we move to Looker?

For many teams Looker Studio is plenty. We help you decide based on governance needs, scale and budget, and build well on either.

Why are our Looker Studio reports slow?

Usually it is live connectors on large tables. We move heavy logic into your warehouse and optimise data sources so reports load fast.

What does your Looker Studio (Data Studio) implementation cover?

Report design and templates, bigquery and warehouse data sources, blended and calculated metrics done right, performance and sharing setup.

What does a Looker Studio (Data Studio) audit look at?

Report speed and quota review, connector and data-source health, metric definition consistency, access and sharing review.

Do you build a semantic layer first?

Where it makes sense, yes. Defining metrics once makes every dashboard, and every AI agent, consistent. Learn about semantic layer build.

Can we use AI on top of our BI setup?

Yes, once metrics are governed. We connect AI-assisted analytics to the same definitions your dashboards use, so answers match.

Do you work with the tools we already have?

Yes. We work with the BI tools you already use, or help you choose the best fit for your use case, team and budget.

How much does it cost?

Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.

related

More in BI & reporting

looker.md

Looker

Clean LookML, governed explores and trusted dashboards.

learn more →

power-bi.md

Power BI

Fast, governed Power BI models and reports.

learn more →

semantic-layer-build.md

Semantic layer build

One definition for every metric, for people and AI.

learn more →

tableau.md

Tableau

Fast, consistent Tableau dashboards and data models.

learn more →

metabase.md

Metabase

Self-serve analytics on top of your warehouse.

learn more →

← all bi & reporting services   all services →

how we work

From first call to running system

step-01

01 /

Discover

We learn your goals, stack and constraints.

step-02

02 /

Plan

Audit findings and a clear, prioritised plan.

step-03

03 /

Build

Implementation by engineers, reviewed with your team.

step-04

04 /

Run

Hand over, or keep us on to support it.

get-started.sh

Tell us what you need. We'll scope it.

Pricing is tailored to your sources, volume and the parts of the platform you use. Request a demo or book a call with the team.

request-demo schedule-consultation