Data Analytics & Dashboards
Raw data sitting in a database is useless without context. We build analytics infrastructure that surfaces the right metrics, at the right time, for the right people. Custom dashboards connected directly to your data sources, automated reporting, and KPI tracking systems that keep your team aligned and your leadership informed.
Atualização em tempo real
Built for production.
Dashboards fail when they answer questions nobody asks. We interview stakeholders first, define the metrics that drive decisions, then wire data models so refresh is automatic and definitions are consistent across teams.
From executive summaries to operator consoles, we build analytics layers on warehouses you own — BigQuery, Snowflake, Postgres — with dbt-style transformations when complexity demands it. No black-box BI tenants unless that is what you want.
We also close the loop: alerts when KPIs move, scheduled PDFs for boards, and embedded charts inside the products your customers touch.
Use cases, in production.
Turn raw data into clear decisions. Custom dashboards, KPI tracking, and analytics infrastructure built around how your team actually works.
Executive & Operations Dashboards
Real-time dashboards for leadership and ops teams. Revenue, pipeline, logistics, production — all key metrics in one place, refreshed automatically, no manual updates.
Sales & Marketing Analytics
Funnel analysis, cohort tracking, campaign attribution, and customer segmentation. Understand exactly what is driving growth and where the leaks are.
Product Analytics
Track user behavior, feature adoption, retention curves, and engagement metrics. Build the instrumentation your product team needs to make faster, better decisions.
Custom BI & Reporting Systems
Self-serve reporting tools that let non-technical stakeholders slice and filter data without bothering your engineering team. Scheduled exports, PDF reports, and email digests included.
Investor & board reporting packs
Automated decks or PDFs with the same numbers your internal dashboards use — versioned metrics, footnotes, and audit-friendly exports.
Reverse-ETL to ops tools
Push segments and scores from the warehouse into CRM, ads, or support tools so GTM teams act on analytics without SQL.
From discovery to handoff.
A clear path with milestones you can plan around — no black box, no surprise scope at the end.
Metric design
Agree on definitions, grain, and owners. Kill duplicate KPIs before building charts.
Model the data
Staging, marts, and tests so dashboards do not break silently when upstream changes.
Design & build
Dashboards tuned to roles — filters, drill paths, mobile where needed.
Enable adoption
Training, catalog docs, and iteration from real user feedback.
What we ship.
What you receive.
Tangible outputs at the end of every engagement — code, docs, and systems your team can operate.
- Metric dictionary & ownership map
- dbt/SQL models or equivalent layer
- Dashboards in your BI tool of choice
- Automated reports & alert rules
- Data tests on critical fields
- Admin guide for non-technical users
Common questions.
Which BI tools do you support?
Metabase, Looker, Power BI, custom React/Recharts, and embedded analytics — whatever your team already pays for or wants to avoid.
Can you fix our messy warehouse first?
Often yes. We frequently pair analytics engagements with light modeling or pipeline work upstream.
How do you keep metrics consistent?
Central semantic layer, tested SQL, and named owners per KPI — not everyone inventing their own version of revenue.
Explore the stack.
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