
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.

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.

Our AI agents re-sent a huge stable prefix on every turn, and prompt caching should have made that nearly free. It wasn't caching at all. The culprit was one line in the system prompt, and fixing it turned into a full rework of how we build agent context.

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.
“Avaliamos a Omni e outras ferramentas de BI, mas a velocidade até o insight com a Basedash é incomparável.”
Greg Demoge
Cofundador e CPO · FullEnrich
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“Para uma empresa tão preocupada com segurança quanto a nossa, a Basedash conectou instantaneamente. Relatórios que levavam semanas ficam prontos em horas.”
Claudio Godoy
AI Agents Lead · Taxfyle
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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.

The Basedash agent can now take action: write and run SQL edits against databases you've enabled, and act in Stripe, HubSpot, or any tool behind an MCP connector — with your approval on everything consequential. From answers to actions.

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.

On every cache hit, our run-query endpoint parsed JSON into objects just to serialize the same objects right back. Here's how we stored the raw bytes instead, and why the win showed up in event-loop delay more than wall time.

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.

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.

Basedash now works with Excel, both ways. Drop an .xlsx file into the agent and it reads, analyzes, and builds charts and dashboards from your data — and export any chart's data back to a .xlsx file in one click.