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 .

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.