Looker Studio. Dashboards that answer business questions - not data overload.

Looker Studio Implementation End-to-end consulting and implementation

I build interactive reports in Looker Studio connected to GA4, BigQuery and other sources

Typical dashboards are dozens of charts nobody acts on. Numbers in Looker Studio don't match GA4. The team still exports to Excel because "the report doesn't show what we need." My approach: business questions first (what do you need to know?), then metrics and KPI definitions, then visualization. Reports ready for daily use - technically verified and understandable for management.

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Does this sound familiar?

Dashboard with 30 charts - zero decisions

Lots of data, few insights. Nobody knows which chart to start with or what it means for the business.

Looker Studio numbers ≠ GA4 or CRM

Metric mismatches undermine trust - the team goes back to manual exports.

Excel still in circulation

A dashboard exists, but key analysis is done manually - the report doesn't answer the questions.

Each department has its own report

Marketing, sales and management look at different numbers - no shared KPI definitions.

BigQuery connected but unused in reports

Raw data is in BQ, but Looker Studio still shows only default GA4 metrics.

Report breaks after every GA4 change

No documentation, calculated fields without description - nobody knows where numbers come from.

How implementation works - 4 steps

  1. 01

    Discovery and KPI workshops

    Business questions, report audiences (management, marketing, ecommerce), data source audit and current reports review.

    Deliverable: KPI map + report specification
  2. 02

    Report architecture

    Page structure, wireframes, visualization choices, calculated fields, global filters and segments.

    Deliverable: architecture + screen mockups
  3. 03

    Build and data QA

    Connectors (GA4, BigQuery, Sheets, Search Console, Ads), custom metrics, consistency tests vs GA4/CRM.

    Deliverable: working dashboards + QA report
  4. 04

    Handover and training

    Metric definition documentation, team training, maintenance and evolution plan for reports.

    Deliverable: documentation + training + maintenance plan

Offer - what you get

Workshops and architecture

Define business questions, KPIs, page and section structure - before the first chart is built.

KPI Wireframe Workshops

Data sources

GA4, BigQuery, Google Sheets, Search Console, Google Ads, Facebook Ads - connected into one coherent reporting model.

GA4 BigQuery Ads

Visualization and metrics

Calculated fields, filters, segments, date ranges, readability from the first screen - no chart overload.

Calculated fields Filters Segments

Management and operational reports

Dashboards for C-level (KPI, trends) and teams (campaigns, ecommerce, funnels) - automatic refresh.

Management Marketing E-commerce

QA and data consistency

Metric verification vs GA4, CRM and BigQuery. Filter, date range and conversion definition tests.

QA Consistency Validation

Documentation and training

Metric descriptions, usage guide, team training - so the report lives after launch, not gathers dust.

Documentation Training Maintenance
  • Who it's for: companies with GA4, BigQuery or other Google data sources that want consistent reports for management, marketing and ecommerce - without building an in-house BI team.
  • Model: one-time project (2–6 weeks depending on report count and sources) or part of a broader GA4 implementation; optional analytics retainer for dashboard maintenance and growth.
  • Outcome: KPIs visible from the first screen, data verified technically and for business sense, team can read the report and request sensible changes.

Free tools - start on your own

Before booking a consultation, check GA4 data quality or estimate BigQuery costs as a report data source.

GA4 Auditor

Check GA4 implementation - before building a report on data you can't trust.

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GA4 Encyclopedia

Events, parameters, metrics and GA4 reports - helpful when defining KPIs in Looker Studio.

Read encyclopedia

GA4 BigQuery Calculator

Estimate GA4 export costs to BigQuery - before connecting BQ as a Looker Studio source.

Calculate costs
Krzysztof Surowiecki

Krzysztof Surowiecki. I've built Looker Studio reports for years - first as part of GA4, GTM and BigQuery implementations, then as standalone BI projects for management and marketing. I know where Looker Studio fits and where Power BI is a better choice - and how to make report numbers match what you see in GA4 and your CRM.

  • From business question to dashboard - not from “dumping every GA4 chart on one page".
  • GA4, BigQuery, Google Sheets, Search Console, ads - connecting sources into one coherent report.
  • Data QA before launch: metric verification, filters and KPI definitions aligned with your team.

Trust - why clients trust me with reporting

20+years of experience
150+projects
50+clients
7expert tools
  • Reports for decisions: every screen answers a specific question - no decorative charts.
  • Data consistency: same metric definitions in GA4, BigQuery and Looker Studio - one version of truth.
  • Knowledge transfer: documentation and training - your team can read the report and request sensible changes.

Contact - let's take the first step

Tell me what reports you need, who will use them and where data comes from. In a consultation I'll propose dashboard structure, Looker Studio scope and timeline.

  • Discussion of business questions, report audiences and data sources (GA4, BQ, CRM).
  • Initial report architecture and KPI priority proposal.
  • Cost, timeline and post-launch maintenance model.
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