Nandu vs.
BI & Data Tools
Databricks, Power BI, Tableau, Looker — großartige Tools, aber sie lösen ein anderes Problem. Hier ist, warum Sie beides brauchen.
The difference
You already have dashboards. You already have a data warehouse. You might even have a “chat with your data” tool. So why would you need Nandu?
Because there's a gap between seeing data and understanding data. BI tools show you what happened. Text-to-SQL tools let you query what happened. Nandu tells you why it happened and what to do about it.
BI-Tools zeigen Daten
Dashboards, Charts und Reports. Sie sehen, was passiert ist. Aber Sie brauchen immer noch einen Analysten, der Ihnen sagt warum.
Nandu erklärt Daten
Ursachenanalyse, handlungsfähige Empfehlungen und Impact-Schätzungen. Nicht nur was passiert ist, sondern warum und was zu tun ist.
Text-to-SQL ≠ Analytics
Chat-with-your-data-Lösungen generieren SQL-Queries. Das ist Datenabfrage, keine Analyse. Nandu fügt die Analysten-Schicht hinzu.
Feature-Vergleich
| Feature | BI / Data Tools | Nandu |
|---|---|---|
| Root Cause Analysis | Manual interpretation | Automated, contextual |
| Business Context | You provide it | Built-in brand intelligence |
| Actionable Recommendations | None | AI-generated with impact estimates |
| Setup Time | Weeks to months | Days to weeks |
| Channel Expertise | Generic | Amazon, Google, Meta specialized |
| Quality Assurance | None | Critic agents validate every output |
See the difference yourself.
Book a demo with your own data. We'll show you insights your current tools can't.