
How to design a BI permission model for a SaaS team
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.

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.
“Nous avons évalué Omni et d'autres outils BI, mais la rapidité pour obtenir un insight avec Basedash est inégalée.”
Greg Demoge
Co-fondateur et CPO · FullEnrich
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“Pour une entreprise aussi soucieuse de sécurité que la nôtre, Basedash a immédiatement fait tilt. Des rapports qui prenaient des semaines sont prêts en quelques heures.”
Claudio Godoy
AI Agents Lead · Taxfyle
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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.

Embed Basedash inside your own product so your customers get dashboards and the Basedash AI agent on their own data — without ever leaving you. Row-level security keeps every customer to their own data. Analytics, inside your product.

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.

How we replaced a one-size-fits-all subquery wrapper with an AST-based query rewriter, and finally got SQL Server, Spanner, and Athena pagination to actually work.

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.