Data Analytics · BI & Dashboards

Dashboards everyone actually trusts.

A dashboard is only useful if the numbers reconcile. We build a governed semantic layer and self-serve analytics on Amazon QuickSight, or the BI tool you already own — so teams answer their own questions, consistently.

What's included

One definition of every metric.

When "revenue" means the same thing in every report, arguments about the data stop — and decisions speed up.

Semantic modeling

Metrics defined once in a governed layer with dbt — so every tool and team reports the same numbers.

dbtSemantic layerMetrics

Self-serve dashboards

Clean, fast dashboards business users can filter and extend themselves — on QuickSight or the BI tool you already own.

QuickSightdbtSemantic layer

Performance & cost

Aggregates, caching and warehouse tuning so dashboards load in a blink without a runaway query bill.

RedshiftAthenaCaching

Data quality & trust

Automated tests, freshness checks and clear ownership — so a broken pipeline can't quietly skew a board deck.

TestsFreshness SLAsAlerts

From "which number is right?" to one answer

We model metrics in one place, test them on every run, and surface freshness right on the dashboard. So the conversation moves from debating the data to acting on it.

  • Every metric defined once and reused everywhere
  • Freshness and quality visible on the dashboard
  • Self-serve, so analysts aren't a reporting bottleneck
bi — refresh
$ devotica bi refresh executive
semantic layer · 142 metrics
freshness check · all green
quicksight datasets refreshed
load time: 0.8s p95
reconciliation: finance ↔ board match
# dashboards fresh as of 06:00
1
Definition per metric
<1s
Dashboard load time (p95)
70%
Fewer ad-hoc report requests
100%
Metrics tested on every run
Reporting review

Do your dashboards agree with each other?

We'll review your reporting stack, find where the numbers diverge, and build a semantic layer everyone can trust.

Review your reporting →