📈 Data
Dust use cases for data teams.
How Dust helps Data teams
As a data practitioner, Dust can accelerate multiple aspects of your workflows in order to have you focus on where you bring the most value.
Below are some typical use cases from our customers, and user guides to help you get started.
| Use Case | Mission |
|---|---|
| SQL & Data Model Assistance | Help users write, debug, and optimize SQL queries to explore, clean and analyze their data, with the context of their data schemas. |
| Analytics Self-Service | Enable your non-technical stakeholders to write self-serve SQL queries and get immediate data insights without disrupting their data analyst. |
| Data Tools FAQ | Get a conversational interface to the documentation or FAQ of any external tool, to be guided through how to use it without hassle. |
Tutorial & Guides
1. SQL & Data Model Assistance
Help users write, debug, and optimize SQL queries to explore, clean and analyze their data, with the context of their data schemas.
➡️ Follow this User Guide
2. Analytics Self-Service
Enable your non-technical stakeholders to write self-serve SQL queries and get immediate data insights without disrupting their data analyst.
➡️ Follow this User Guide.
Create simple visualizations of the queries, without writing a line of code
3. Data Tools FAQ
Get a conversational interface to the documentation or FAQ of any external tool, to be guided through how to use it without hassle.
➡️ Follow this User Guide .
Updated about 13 hours ago