π 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.
β‘οΈ Follow this User Guide
![Write SQL queries directly based on your data model](https://files.readme.io/03245ea-image.png)
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.
β‘οΈ Follow this User Guide.
![βTalkβ to our spreadsheets without opening them](https://files.readme.io/633fe63-Analyse_Data_with_Table_Query.png)
![Create simple visualizations of the queries, without writing a line of code](https://files.readme.io/1f5320b-Screen_Recording_2024-08-05_at_12.04.57.gif)
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.
β‘οΈ Follow this User Guide .
!["Talk" to your tool FAQ as if it was a person](https://files.readme.io/52353b4-image.png)
Deep dives & Customer stories
Dust Data assistants at Alan
Alan, a health-tech unicorn, Dust SQL assistants are used by over 75% of employees to write correct queries for their projects by themselves, allowing the Data team to focus on reviews and more complex initiatives.
Updated about 1 month ago