Web Analytics Consultancy
Analytics Dashboards & Reporting

Some of the 500+ brands we've worked with
See all referencesApproved task contracts
Dashboards built around a decision
Decision systems


Looker Studio Dashboard Development
The decision repeats and the people making it need their own filters; every number on the finished screen is traced back to its source before handover.


Automated Analytics Reporting
Nobody needs to explore anything — the same figures get rebuilt into the same file every cycle, and every step still has to be marked automated or human-reviewed.


Data Storytelling & Decision Briefs
One number moved and no recurring screen will explain it; this is a single investigation that tests the alternative explanations and keeps evidence apart from interpretation.
When this owner applies
Reporting only helps when people trust what it shows
Approved metrics and models become dashboards, automated reports, and narratives that people can use to make a decision.
Capability boundary
Where dashboard ownership begins and ends
Dashboards use approved KPIs. Measurement Strategy defines those KPIs.
Evidence-led delivery
Contracts before tools, acceptance before claims
Every engagement has named inputs, owners, human approval gates, reproducible QA, explicit limitations, and an operating handover.
We design executive dashboards and operational reporting tools that convert complex data into clear business signals. Zeo specialists build semantic data models, visual interfaces, and automated reports, while your stakeholders approve report layouts and KPI thresholds.


The Dashboards & Reporting delivery lifecycle
Audit reporting requirements
We interview executive and operational stakeholders to map core decision questions, report update cadences, and key performance indicators.
Design semantic data layer
We connect reporting tools directly to BigQuery data models or aggregated tables, preventing slow dashboard loading and query timeouts.
Build Looker Studio dashboards
We construct clean, brand-aligned reporting interfaces with intuitive date filters, drill-down capabilities, and clear visual hierarchy.
Document & automate
We configure scheduled email distributions, user access permissions, and maintenance guides for internal team ownership.
From our clients
What clients say about measurement work
A client describing the planning and reporting problems we started from.
Reported movement
Case Studies
Growth that had to be visible in a report before anyone believed it.
People who build your measurement system
Zeo designs measurement systems that connect a business decision to governed collection and reporting you can check. The people shown here work on the part of that system this page covers.

Zafer Yıldız
Web Analytics Manager

Ezgi Gülsen Yaylı
SEO Manager

Samet Özsüleyman
SEO Manager

Yiğit Konur
Founder & Chief Strategy Officer

Abdullah Tanıdır
Performance Marketing Team Lead

Deniz Çağın Demirci
Frontend Developer

Mirzamin Aghazada
UI/UX Designer

Serap Yurtvermez
Performance Marketing Team Lead

İlker Emir
Senior Performance Marketing Executive

İpek Ezer
Performance Marketing Executive

Onur Durdağı
Performance Marketing Executive
Content we've produced on this topic
Tools we use
The measurement stack behind the work
Collection, tagging, product analytics and reporting are separate problems with separate tools. These are the ones we build measurement on.
Core web analytics platforms
- Google AnalyticsDuring the audit-reporting-requirements step, we check every metric a stakeholder wants on a dashboard against what GA4 actually tracks and how, since a requested number sometimes turns out to be undefined or inconsistently configured at the source. That check is what keeps the semantic data layer honest before a single chart gets built.
BI, dashboards & reporting
- Looker StudioWe build the dashboards themselves in Looker Studio, the step this service names as build Looker Studio dashboards specifically, only after the semantic data layer underneath it is designed and agreed. That sequencing is the point: a dashboard built on unapproved metric definitions just automates the argument about what a number means.
- Power BIWhen a client's organization already runs its reporting stack on Power BI, we design the same semantic data layer and build the dashboards there instead of migrating them to Looker Studio. The audit-and-design steps stay identical regardless of which platform the final build lands on.
- TableauFor a client whose enterprise agreement already covers Tableau, we build the dashboards there instead of adding a second BI license. Which of the three platforms we build on is a client-fit decision made after the semantic layer design is already locked, not a change to that design step itself.
- SupermetricsFor a dashboard pulling from several platforms at once, we route the feeds through Supermetrics into the semantic data layer rather than having the dashboard live-query each source directly. That pre-aggregation is what keeps a multi-source report loading quickly instead of timing out against a slow upstream API.
- DataboxFor the document-and-automate step, we set up scheduled goal and threshold alerts in Databox so a stakeholder gets notified when an approved metric moves outside its expected range, rather than only discovering it at the next dashboard review. That is a narrower, alert-focused job than the full dashboard build itself.
- DomoFor a client whose dashboard audience spans many departments with different access rights to the same underlying data, we build on Domo instead, since its governed permissioning handles that role-based split more directly than the other platforms in this group. That access-control need is what decides this platform choice, not the metrics themselves.
- KlipfolioWhen the semantic data layer defines a metric that no platform's default connector calculates out of the box, a blended ratio spanning two data sources, we build the custom formula in Klipfolio directly against that definition. That flexibility is what keeps an unusual but genuinely agreed KPI representable at all.
- WhatagraphFor engagements where the dashboard's audience is an external client rather than internal stakeholders, we automate the recurring white-labeled report through Whatagraph as part of the document-and-automate step. That client-facing framing is what separates this from Databox's more internal, threshold-alert-focused automation.
Attribution & e-commerce analytics
- Windsor.aiWhen a required marketing data source is not among Supermetrics' supported connectors, we route it into the dashboard's data layer through Windsor.ai instead. Both tools do the same connector job in this service; which one handles a given feed depends on which source it needs to reach.
Next step
Turn measurement into reliable business decisions


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