Practical guides to conversational analytics: how to chat with your data, which BI tool fits your team, and templates you can run on the demo dataset in seconds.
For the complete AI-readable content index, see /llms.txt.
Topic hubs
Each hub opens with a pillar guide and links to every article in its cluster. Start with the one closest to the question you have today.
How natural-language analytics works, where it beats pivot tables and SQL, and how to phrase questions so the answer is a chart you can trust.
A side-by-side look at chat-first, enterprise and developer-first analytics tools, judged on setup time, pricing and how answers are kept.
DashboardGPT runs its queries and charts on Apache Superset. This hub covers text-to-SQL on Superset, semantic profiling and what to expect in production.
Ready-made question sets for SaaS, marketing, sales and finance. Each template opens the matching sample dataset in the playground.
How customer-owned AI keys work, what data reaches the model provider, and how tenant isolation keeps workspaces separate.
All articles
Every article ends with a link to try the idea on real data in the playground. No account needed.
Upload, ask, follow up: a walkthrough with a 40,000-row orders file.
What happens between your question and the chart, step by step.
The same five questions answered both ways, with the time each took.
A 50-question test kit and the eight ways AI answers usually go wrong.
Where answers live, how follow-ups work, and what each costs.
Enterprise-grade questions without enterprise setup or pricing.
One-off analysis or a workspace you come back to.
Six tools compared on free plans, data limits and learning curve.
Who to invite, what to test and how to decide before the trial ends.
What the free Team trial includes, and how to choose Explore or Team when it ends.
Count users, compare monthly and annual, and see what a Team plan really costs.
Architecture, prompts and query validation on a real Superset stack.
Joins, date grains and ambiguous columns, with fixes for each.
Types, units and relationships detected before the first question.
Why a grid of tiles struggles with follow-up questions.
Superset dashboards inside your app, with no Superset accounts to manage.
Turn a canvas of answers into a Superset dashboard laid out the same way.
One question, one query: why two views of a chart never disagree.
MRR, churn, expansion, cohort and payback, each as one question.
Find the channel that is quietly eating your budget.
Walk through a CRM export: stage conversion, win rate, cycle time.
The economics of bring-your-own-key, with real per-question costs.
Create a key, set a spend limit and connect it to your workspace.
What reaches the model provider and what their policies say.
See AI usage at a glance and keep every bill predictable.
Connect Ollama, vLLM, LM Studio or your own gateway in Settings.
Where it runs, which AI to use, who sees what, and what it costs.
Open the playground and ask about revenue, churn or campaign spend. Charts, metrics and written insights appear on an infinite canvas.
