Data cardinality: what it is and how it shapes your dashboards
Data cardinality is the number of distinct values in a column. Here's why it shapes dashboard speed, chart choices, and filters, and how to tame it.
Max MusingFounder and CEO of Basedash- Max MusingFounder and CEO of Basedash
How to build dashboards on MySQL data
How to build dashboards on MySQL: connect a BI tool safely, keep heavy reporting queries off production writes, and choose live queries vs a read replica.
Max MusingFounder and CEO of Basedash
Power BI vs Excel: which should you use for reporting?
Power BI vs Excel for reporting: use Excel for ad hoc analysis and modeling, Power BI for recurring dashboards from live data. A practical guide to choosing.
Max MusingFounder and CEO of Basedash
ETL vs ELT: what the difference means for your analytics stack
ETL transforms data before loading it; ELT loads raw data first, then transforms it in the warehouse. Here's how they differ and which one fits your stack.
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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How to analyze an A/B test with SQL
Analyze an A/B test with SQL: count users and conversions per variant, calculate lift, run a two-proportion z-test, and avoid the mistakes that fake wins.
Max MusingFounder and CEO of Basedash
SQL window functions: the analytics queries that actually matter
Window functions calculate across related rows without collapsing them, which is how you write running totals, rankings, and period-over-period growth in SQL.
Max MusingFounder and CEO of BasedashHow to build an OKR dashboard that tracks against live data
An OKR dashboard shows each key result's baseline, target, current value, and pace against live data. Learn how to build one that updates itself, not by hand.
Max MusingFounder and CEO of Basedash
How to build dashboards on SQL Server data
How to build dashboards on SQL Server: connect a BI tool safely, avoid blocking your production database, and choose live queries vs a read replica or copy.
Max MusingFounder and CEO of Basedash
How to calculate net revenue retention (NRR)
Net revenue retention tracks recurring revenue kept and expanded from existing customers. Learn the NRR formula, how to calculate it in SQL, and benchmarks.
Max MusingFounder and CEO of Basedash
Do you need a data catalog? A practical guide for lean teams
Most lean teams don't need a dedicated data catalog yet. Here's what one does, the signals that mean you actually need it, and a lightweight alternative.
Max MusingFounder and CEO of BasedashSQL query builders: visual, code, and AI, and when to use each
A SQL query builder lets you build database queries without hand-writing SQL. Compare visual, code, and AI query building, and learn when to use each.
Max MusingFounder and CEO of Basedash
DAU, WAU, and MAU: how to measure active users without fooling yourself
DAU, WAU, and MAU count unique active users over 1, 7, and 30 days. Learn how to define active, calculate each in SQL, and read the stickiness ratio.
Max MusingFounder and CEO of Basedash
How to build dashboards on Databricks data
How to build dashboards on Databricks: connect a BI tool to a SQL warehouse, the cold-start trap that makes dashboards feel broken, and how to control cost.
Max MusingFounder and CEO of BasedashSQL for product managers: the queries that actually matter
Product managers don't need to master SQL. Learn the five query patterns that answer most product questions, plus when to reach for a BI tool or AI instead.
Max MusingFounder and CEO of Basedash
Spreadsheets vs databases: when to make the switch
Use a spreadsheet for quick, small, one-off analysis. Move to a database when data is shared, large, or a source of truth. Here's how to tell and migrate.
Max MusingFounder and CEO of Basedash
Data analyst vs data scientist vs data engineer: which roles does your team actually need?
Data engineers build pipelines, analysts answer business questions, scientists model and predict, business analysts translate needs. Here's who to hire when.
Max MusingFounder and CEO of Basedash