ProjoMania

Business solutions

Analytics & Reporting

BI dashboards, reporting layers, executive scorecards, and the pipelines underneath them. Built so a finance or ops team can own them.

Ce que nous faisons

Dashboards are the easy part. The model underneath is the work.

Most BI engagements produce a handful of dashboards and leave the data model tangled. Six months later the dashboards disagree, the queries are slow, and nobody owns the logic. We build the model first and the dashboards on top — so the team that inherits it can actually maintain it.

What we deliver

  • Semantic layer — in dbt, LookML, or the BI tool’s modeling language, depending on the tool. One place where a metric is defined, used by every dashboard.
  • Dashboards — built on the semantic layer, not duplicated.
  • Tests — dbt tests or equivalent on every metric that matters. Broken data gets caught, not silently displayed.
  • Access & governance — row-level security where needed, audit logs, rotation.
  • Training — a handful of people from your team, so the tool doesn’t silently die.

Tools we reach for

  • Metabase — self-hosted, pragmatic, fast to deliver value. Our default for mid-size.
  • Superset — when the SQL freedom matters.
  • Power BI — Microsoft shops.
  • Tableau / Looker — enterprise.
  • Odoo BI — for reports that live natively inside Odoo.

Calendrier typique

Trois tailles d'engagement indicatives

Petit

2–5 weeks — targeted dashboards

Moyen

5–10 weeks — semantic layer + suite of dashboards

Grand

10+ weeks — enterprise reporting overhaul

Chaque devis est sur mesure. Comment fonctionne la tarification →

FAQ

Questions fréquentes sur analytics & reporting

Which BI tools do you use? +

Metabase and Superset (open source, self-hosted) by default. Power BI and Tableau where your organization already has licenses. Looker for enterprise setups. Odoo's built-in BI for Odoo-adjacent reporting.

Where does the data live? +

For light workloads, straight against the operational database (with read replicas). For anything heavier, a proper data warehouse — BigQuery, Snowflake, ClickHouse, or self-hosted.

Who maintains the dashboards after you leave? +

Your team. We design the semantic layer so that adding a dashboard is a day's work for a trained analyst, not a project.

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