
BI tools for dbt: how to choose without duplicating your metrics
How to pick a BI tool for a dbt stack. The three ways tools connect to dbt, the semantic layer tradeoff, a comparison table, and a decision framework.

How to pick a BI tool for a dbt stack. The three ways tools connect to dbt, the semantic layer tradeoff, a comparison table, and a decision framework.

A practical guide to sharing BI dashboards with clients, investors, and partners: the methods, the security tradeoffs, and a decision matrix for each.

Basedash for Slack is your AI data analyst inside Slack — now in the official Slack Marketplace. Mention @Basedash in any channel and get answers and charts back from your real data, plus automations and insights delivered where your team talks.

A practical guide to building a Salesforce analytics dashboard: the data model, the metrics that matter, sync pitfalls, and the tools that fit sales teams.
“Evaluamos Omni y otras herramientas de BI, pero la velocidad para llegar al insight con Basedash no tiene comparación.”
Greg Demoge
Cofundador y CPO · FullEnrich
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“Para una empresa tan consciente de la seguridad como la nuestra, Basedash conectó al instante. Reportes que tomaban semanas están listos en horas.”
Claudio Godoy
AI Agents Lead · Taxfyle
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Data-driven decision making ties specific decisions to evidence. Here's a practical framework for doing it well, beyond just building more dashboards.

Compare seven BI tools with built-in semantic layers — Basedash, Holistics, Looker, Omni, Lightdash, Power BI, and ThoughtSpot — across modeling approach, metric expressiveness, governance, AI readiness, and self-service.

We ran rollup-plugin-visualizer against the Basedash client bundle and found 7 MiB of stuff we didn't need to ship. Here's what was in there, why, and how we got rid of it.

Power BI works, until it doesn't. Compare 8 alternatives by cost, AI features, semantic layer support, Mac/web access, and how migrations actually go.

A practical guide to connecting MongoDB to a BI tool. Covers Atlas SQL, the legacy BI Connector, ETL to a warehouse, schema tradeoffs, and tool options.

AI BI tools sometimes return wrong SQL, wrong charts, and wrong explanations. A practical guide to where hallucinations happen and how to design around them.

When DuckDB is the right backend for a BI tool. Covers production patterns, where it beats Snowflake or BigQuery, and where it breaks down.

A workflow guide to building a board reporting dashboard. Covers the four sections to include, the metrics that belong in each, layout patterns, narrative, and cadence.

A practical four-layer framework for BI permissions: identity, workspace, dataset, and row level. Covers role design, common mistakes, and how major BI tools enforce access.

Create reusable SQL definitions for metrics and models, then let Basedash AI reference them across chat, charts, dashboards, insights, and automations. Define the metric once. Use it everywhere.

BI demos all look the same. Use this 45-question checklist across data, modeling, AI features, governance, pricing, and support to evaluate vendors honestly.

What drill-down and drill-through mean in BI tools, how they differ in practice, when each one matters, and how major tools implement them.