How to choose a north star metric: a practical framework
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.
Max MusingFounder and CEO of Basedash- Max MusingFounder and CEO of Basedash
How to build a dashboard in Google Sheets (and when to move on)
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.
Max MusingFounder and CEO of Basedash
Do you need a product analytics tool, or can your warehouse do it?
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.
Max MusingFounder and CEO of Basedash
How to build a customer health score: signals, weighting, and SQL
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.
Max MusingFounder and CEO of Basedash
“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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“For a security-conscious company like ours, Basedash instantly clicked. Reports that took weeks are ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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KPI vs metric: what's the difference and how to decide what belongs on a dashboard
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.
Max MusingFounder and CEO of Basedash
How to build a budget vs actual report (variance analysis)
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.
Max MusingFounder and CEO of Basedash
How to choose the right chart for a dashboard
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.
Max MusingFounder and CEO of Basedash
A practical data governance framework for lean data teams
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.
Max MusingFounder and CEO of Basedash
What is a single source of truth, and how do you actually build one?
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.
Max MusingFounder and CEO of Basedash
Customer segmentation: how to build segments from your data
Customer segmentation groups customers by traits, behavior, or value. Learn the main models and build RFM and behavioral segments in SQL that drive action.
Max MusingFounder and CEO of Basedash
How to do cohort analysis: retention, revenue, and behavioral cohorts
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.
Max MusingFounder and CEO of Basedash
How to set up ecommerce analytics that show real profit, not just revenue
Platform-native reports show revenue, not profit. Here is how to unify Shopify, ad spend, and COGS into ecommerce analytics that measure contribution margin.
Max MusingFounder and CEO of Basedash
Data democratization: what it actually takes to give teams access to data
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.
Max MusingFounder and CEO of Basedash
What is a data dictionary, and how to build one for analytics
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.
Max MusingFounder and CEO of Basedash
We benchmarked 11 AI data analysts on real BI questions — here's what we found
We tested 11 AI data analysts on hard BI questions against a real production database. Basedash ranked first with 94.8% accuracy and a 32.6s average response time. Here are the full results and methodology.
Max MusingFounder and CEO of Basedash
Data masking in BI tools: how to protect PII in dashboards and AI queries
Data masking hides sensitive values so people can use a dashboard without seeing real PII. Here are the techniques, where to enforce them, and the tradeoffs.
Max MusingFounder and CEO of Basedash