
What are data contracts, and does your BI actually need them?
A data contract is an agreement on a dataset's schema, semantics, and quality. Learn what one includes, why dashboards break without them, and when to use them.

A data contract is an agreement on a dataset's schema, semantics, and quality. Learn what one includes, why dashboards break without them, and when to use them.

DataGPT, the conversational AI data analyst, has shut down. Here's what happened to the company and the best DataGPT alternatives for teams that still need natural language analytics.

Ad hoc analysis is how you investigate a specific, unplanned data question. Learn a repeatable six-step workflow, with SQL examples and mistakes to avoid.

A data mart is a subject-focused slice of a data warehouse built for one team. Learn the types, how it differs from a warehouse, and when to build one.
“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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Data storytelling means structuring data so it drives a decision. A four-part framework for turning dashboards and reports into stories people act on.

The data quality metrics worth tracking, grouped by the six dimensions of quality, with concrete SQL checks, thresholds, and how to put them on a dashboard.

Management reporting is the recurring internal pack leaders use to run the business. Here is what to include, how often to run it, and how to automate it.

How early-stage startups can run FP&A without a finance hire: build the model, automate the actuals, pick a stack by stage, and know when to buy software.

A north star metric is the single number that best captures the value your product delivers. Here's how to choose one, with examples and traps to avoid.

A step-by-step guide to building a dashboard in Google Sheets: get data in, build charts and controls, keep it fresh, and know when to move to a BI tool.

A buyer's guide to product analytics: when a dedicated tool like Amplitude or Mixpanel earns its keep, and when your own data warehouse can do the job.

A practical guide to building a customer health score: which signals to use, how to weight them, SQL to calculate it, and how to validate it against churn.

A metric is any number you track; a KPI is a metric tied to a goal. Here's the difference, with examples, and a simple test for what belongs on a dashboard.

A step-by-step guide to budget vs actual reporting: join plan and actuals, calculate variance, flag what matters, and automate it instead of using Excel.

Choosing the right chart starts with the question you're answering, not the data. A practical guide to picking chart types for dashboards and reports.

A data governance framework defines who owns data, how metrics are defined, and who can access what. Here is a lightweight version lean teams can actually run.
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