
FP&A for startups: how to run financial planning and analysis without a finance team
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.

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.
“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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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.

A single source of truth is one governed place where each metric is defined once. Here is why teams lose it and how to build one that holds as you grow.

Customer segmentation groups customers by traits, behavior, or value. Learn the main models and build RFM and behavioral segments in SQL that drive action.

A practical guide to cohort analysis with SQL. Build retention, revenue, and behavioral cohorts, read a cohort table, and avoid the mistakes that break it.

Platform-native reports show revenue, not profit. Here is how to unify Shopify, ad spend, and COGS into ecommerce analytics that measure contribution margin.

Data democratization means giving non-technical teams safe, usable access to data. Here is a framework for the four conditions it needs, and where it fails.

A data dictionary documents what every field and metric means. Here's what to include, how to build one, where it should live, and how to keep it current.

We tested 11 AI data analysts on hard BI questions against a real production database. Basedash ranked first with 92.1% accuracy and a 28.6s average response time. Here are the full results and methodology.
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