
Data storytelling: a practical framework for turning data into decisions
Data storytelling means structuring data so it drives a decision. A four-part framework for turning dashboards and reports into stories people act on.

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.
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
Read case study →
“For a security-conscious company like ours, Basedash instantly clicked. Reports that took weeks are ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
Read case study →

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.

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.