Why a practice-level page exists
Trademark notice
Where we go deeper
Data layer & analytics engineering
Fast, repeatable analytical SQL and handover—see DuckDB analytics engineering for scoped delivery.
Governed BI
Roles, datasets, and SQL-native BI at scale—see Apache Superset delivery.
Adoption & embedded BI
Self-service questions and operational embedding—see Metabase analytics programmes.
How we keep programmes coherent
Practice patterns—not isolated installs
Semantic metrics before dashboard sprawl
Definitions, ownership, and change control across teams.
Shared foundation
One credible path from prototypes to production BI surfaces.
Operations included
Upgrades, backups, and incident ownership—or an explicit handover.
Routing quick reference
Tool-specific question
Use the DuckDB, Superset, or Metabase agency pages directly.
Full analytics & BI thread
Start here—the practice umbrella—then narrow scope in discovery.
Broader open-source platform remit
When analytics is only part of a larger self-hosted stack, see open-source AI infrastructure as the org-level entry.
FAQ
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Is this a fixed stack?
No—scope follows your constraints; this page explains how the pieces fit.
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Replace architecture consulting?
No—it orients delivery; architecture remains bespoke.
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Experimental tooling?
Evaluation-first where maturity is unclear; no implied uptime guarantees.
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