
Introducing AI Sources: see what built every answer
Inspect the tables, definitions, charts, connections, web pages, SQL, and returned rows behind every AI answer in Basedash.
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Inspect the tables, definitions, charts, connections, web pages, SQL, and returned rows behind every AI answer in Basedash.

SQL for data analysis means using a small set of query patterns to answer real questions from data. Learn the essential functions, patterns, and when to stop.

Data exploration is how you get to know an unfamiliar dataset before analyzing it. Learn a repeatable workflow, a profiling checklist, and mistakes to avoid.

Data debt is the accumulated cost of shortcuts in your data, metrics, and dashboards. Here's how to spot it, price it by impact, and pay it down steadily.
“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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A vanity metric looks impressive but never changes a decision. Here's a four-question test to separate vanity metrics from actionable ones on any dashboard.

A customer 360 is one unified record per customer joined from your CRM, product, billing, and support data. Here's how to build one in your warehouse.

Dimensions are what you group by; measures are the numbers you aggregate. Here's how to tell them apart and why the split shapes every chart you build.

Install the official Basedash plugin in Grok Bot to ask questions of governed company data and list the connected sources available to you.

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.

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.

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.

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.

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.

Window functions calculate across related rows without collapsing them, which is how you write running totals, rankings, and period-over-period growth in SQL.

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.

Send a live Basedash dashboard or chart to a client, investor, leader, or contractor with one link. They can open, filter, and sort it without a Basedash account.