Data & Analytics / BI

Dashboards people use, on data they trust.

Who it is for

Leadership teams that want a single view of the business, finance and operations teams tired of spreadsheet reconciliation, and product teams that need usage analytics.

Analytics fails when every team defines "revenue" differently and dashboards multiply without owners. We start with the decisions your leaders need to make, then build the metrics, models, and dashboards that support them.

What is included

Deliverables

Analytics strategy and KPI definition

A metrics catalog with owners, definitions, and sources, agreed across departments.

Dashboards and reporting

Looker, Looker Studio, Power BI, or Tableau builds designed for the decision, not the chart.

Semantic layer and metrics

Centralized definitions (LookML, dbt metrics) so every tool reports the same numbers.

Self-service enablement

Curated datasets, training, and guardrails so teams can explore without breaking things.

Data quality and observability

Tests, freshness checks, and alerts so bad data is caught before a board meeting.

Product and web analytics

PostHog, GA4, and event design so product decisions are grounded in behavior.

How it works

Engagement approach

Align

Workshops to define the questions and the metrics behind them.

Model

Build or refine the warehouse models and semantic layer.

Build

Dashboards iterated weekly with the people who will use them.

Adopt

Training, documentation, and a cadence for retiring unused reports.

Outcomes

What you walk away with

One agreed set of numbers across the company
Leadership dashboards that replace manual reporting
Analysts spending time on analysis instead of reconciliation
A data foundation that AI initiatives can build on

Tools & expertise

Looker
Looker Studio
Power BI
Tableau
dbt
BigQuery
PostHog
GA4

FAQ

Common questions

We already have dashboards nobody looks at. Why would this be different?

Because we start from decisions and owners, not from available data. Every dashboard we build has a named owner, a purpose, and a review date.

Which BI tool should we choose?

We are tool-agnostic. Looker fits governed, large organizations; Looker Studio and Power BI fit cost-sensitive teams; Tableau fits heavy visual exploration. We help you pick and avoid paying for seats you will not use.

Can you embed analytics in our product?

Yes. We build embedded dashboards and usage analytics for customer-facing products.

Talk to us about Data & Analytics / BI

A 30-minute call is enough to tell whether this is the right engagement and what it would take.

Book a discovery call