
What is a data mart, and does your team need one?
A data mart is a subject-focused slice of a data warehouse built for one team. Learn the types, how it differs from a warehouse, and when to build one.

A data mart is a subject-focused slice of a data warehouse built for one team. Learn the types, how it differs from a warehouse, and when to build one.

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.

Basedash now generates personalized suggestions across chats, dashboards, and automations — questions worth asking, dashboards worth building, reports worth scheduling — all generated from your connected data, your past chats, and the work you've already done. One click and the analysis starts.
“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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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.

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.

SCIM provisioning keeps users, groups, and memberships aligned from Okta or Microsoft Entra ID as enterprise BI adoption grows.

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.

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.

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.