
DuckDB for BI: when single-node analytics beats a cloud warehouse
When DuckDB is the right backend for a BI tool. Covers production patterns, where it beats Snowflake or BigQuery, and where it breaks down.

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.

BI demos all look the same. Use this 45-question checklist across data, modeling, AI features, governance, pricing, and support to evaluate vendors honestly.
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
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“Before Basedash, reports could take weeks of back and forth. Now, they can be ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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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.

Drag in edit mode froze the page for over a second on big dashboards. The cause was 97 Replicache subscriptions re-running on every keystroke. Here's how we moved the read path to TanStack DB collections backed by SSE, and kept Replicache for writes.

Multi-tenant analytics architecture for SaaS embedded dashboards. Compares silo, pool, and bridge models, where to enforce tenant isolation, and common mistakes.

A practical guide to building a HubSpot analytics dashboard. Metrics, data model, common pitfalls, and tools that fit revenue ops teams.

A step-by-step Looker migration playbook: audit LookML, choose a replacement, rebuild dashboards, run cutover, and decommission. Includes a checklist.

Most SaaS teams track KPIs in a flat list. A metric tree connects a north-star metric to the drivers and inputs people can actually move. Here's how to build one.

A practical guide to building a funnel analysis dashboard from event data. Covers SQL patterns, time windows, segmentation, layout, and the mistakes that quietly break funnel charts.

AI data analyst tools look similar in demos but behave very differently in production. Use this 5-dimension framework to evaluate 8 leading platforms in 2026.

A practical guide to building a Stripe revenue dashboard. Covers the data model, MRR and churn calculations, common gotchas, and tools for any team size.

Our pods were crash-looping and the logs said nothing. We chased an OOM, found something else entirely, and learned a Kubernetes default that should not be a default.

A practical playbook for cutting Snowflake, BigQuery, Redshift, and Databricks bills driven by BI dashboards. Diagnosis, SQL fixes, caching, Basedash Warehouse, and governance.

An intake and triage framework for data requests: a request taxonomy, a priority and effort matrix, an SLA model, and rules for what not to build.