Analytico

Platform · Power BI

Dashboards that don't lie to you.

We design Power BI models and dashboards on top of GA4, BigQuery, Shopify, Stripe, HubSpot and your CRM — so what you see is what the business actually lives, not a pretty but misleading view.

  • Data models built from governed warehouse tables, not random exports and one-off joins.
  • DAX that encodes how your business actually works — funnels, cohorts, LTV and pipelines.
  • Reports designed for decisions, not just screenshots in quarterly decks.

Built for teams who are done arguing over numbers: growth, product, revenue and leadership.

From “nice” dashboards → decisive ones

Typical setup

  • Manual CSV exports feeding reports.
  • DAX logic duplicated across pages.
  • Same metric defined three different ways.

With Analytico

  • Models wired straight into GA4 / BigQuery / warehouse.
  • Single source measures, reused everywhere.
  • Dashboards tied to clear, documented KPIs.

Trust

GA4, ads, warehouse and finance stop disagreeing.

Speed

New questions answered by extending stable models.

Focus

Views built around actions, not just “all the data”.

Who this Power BI work is for

For teams who want BI that actually reflects how the business runs.

If you're serious about measurement, Power BI sits on top of a data foundation — GA4, BigQuery, Stripe, Shopify, HubSpot, your app. We make sure the reporting layer respects that complexity instead of hiding it with pretty charts.

Marketing & growth

  • You need a single view of channel performance, funnel leakage and ROAS beyond what GA4 can show.
  • You’re tired of pulling numbers from five tools to answer basic budget questions.

Product & ops

  • You want to see where users stall, retain and upgrade across journeys — in one interface.
  • You need dashboards that tie feature usage to revenue, tickets and churn.

Leadership & finance

  • You’re making strategic bets without a clear, shared lens on the numbers.
  • You want board-ready reporting that stands up to hard questions.

Power BI problems we keep seeing

A beautiful dashboard on bad data is still bad data.

Most BI environments grew organically: one report for the board, another for marketing, another for product — all powered by slightly different logic. We consolidate that into a single, governed model your teams can trust.

The same metric — revenue, MQLs, ARPU — shows different values across reports.

Dashboards are slow, brittle and only truly understood by the person who built them.

Power BI pulls from exports or live APIs instead of a governed warehouse layer.

New questions require new reports, not extensions of a coherent model.

Power BI services

Power BI as the front-end to a serious analytics stack.

We don't treat Power BI as "just reporting". It's the interface to your Track and Analyze work — the place where numbers get challenged, discussed and turned into decisions.

Data modeling for Power BI

A sane, governed model behind every visual.

  • Design dimensional models for customers, sessions, orders, subscriptions and pipelines.
  • Connect Power BI to BigQuery or your warehouse instead of raw exports.
  • Define relationships, surrogate keys and grain so measures behave predictably.
  • Align tables and fields to the same KPI definitions used in GA4 and your warehouse.

DAX measures & business logic

Encode how your business works — once.

  • Create reusable measures for revenue, margin, CAC, ROAS, LTV, funnel rates and more.
  • Implement cohort, retention and lifecycle metrics that match product and finance views.
  • Centralize logic so a metric is defined once and reused everywhere.
  • Document measure definitions in language non-analysts can understand.

Marketing & growth reporting

From "traffic" dashboards to performance control panels.

  • Channel and campaign views that blend GA4, ad platforms and backend revenue.
  • Funnel dashboards showing where acquisition, activation and retention break.
  • Attribution-style views that match your chosen model, not whatever a tool defaults to.
  • Executive rollups with enough drill-down to answer follow-up questions live.

Product & lifecycle reporting

Usage, engagement and revenue in one view.

  • Journeys that connect marketing touchpoints to in-product behavior and revenue.
  • Activation dashboards built around your real “aha” moments and success milestones.
  • Subscription, churn and expansion reporting on top of billing + product events.
  • Feature and cohort views aligned with experiments and roadmap calls.

Ops, finance & leadership packs

No more parallel finance spreadsheets vs BI reports.

  • Revenue and margin dashboards reconciled with finance-approved numbers.
  • Unit economics views (CAC, payback, LTV, contribution) by segment and channel.
  • Operational dashboards for SLAs, throughput and backlog across teams.
  • Board-ready packs built once, refreshed from live data every cycle.

Governance, performance & rollout

Power BI that stays maintainable as you scale.

  • Report catalogs and access patterns that limit chaos but don’t block work.
  • Performance tuning for models, queries and visuals.
  • Rollout plans so teams adopt the new lens instead of clinging to old spreadsheets.
  • Handover documentation and optionally, ongoing support for iterations.

Power BI across Track · Analyze · Optimize

Power BI is where your TAO story gets told — or falls apart.

When tracking is solid and the warehouse is structured, Power BI becomes a sharp, reliable lens on the business. When they aren't, it just amplifies confusion. We build for the first scenario.

Track → Power BI

Clean GA4, Stripe, Shopify and CRM signals engineered to land in a warehouse Power BI can trust.

Analyze → Power BI

Modeled data and metrics exposed as clear, reusable measures and subject-area views.

Optimize → Power BI

Dashboards that surface where to reallocate spend, ship experiments and fix user journeys.

Selected Power BI engagements

Different stacks, same outcome: reports people actually use.

When reporting is wired to reality, it stops being something people skim once a month and starts being part of how they run their week.

E-commerce · DTC

From GA4 screenshots to a real growth command center.

We wired Power BI into BigQuery, modeled GA4 + Shopify + ads data, and built dashboards that let the team see margin, ROAS and inventory in one place — and act on it weekly.

SaaS · PLG & sales-assisted

Unified view of pipeline, product and payback.

We joined product events, HubSpot and Stripe in the warehouse, then surfaced Power BI views that finally aligned marketing, product and sales on one funnel narrative.

Healthcare · multi-location

Operational visibility without drowning in tools.

We built Power BI packs combining GA4, booking tools and CRM data to show patient flows, no-shows and channel impact — with the detail ops teams needed and the clarity leadership wanted.

Next step

Let’s talk about your measurement stack.

In 30–45 minutes, we’ll review your current setup and outline a practical roadmap to decision-ready data.

  • Senior-led analytics & implementation support.
  • Focused on decision-ready, trustworthy data.

e.g. GA4 + GTM + Shopify + Meta + HubSpot

e.g. broken conversion tracking, conflicting numbers, unclear attribution…

Prefer email? Reach us at hello@analyticodigital.com.

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