Dot

What is Dot?

Dot is an AI data analyst that lets teams ask data questions in plain language and receive answers in seconds. For a chat request, it identifies relevant tables, writes SQL, and generates a chart. Users can work from the Dot application or request insights from Slack, Microsoft Teams, and email.

Beyond quick questions, Deep Analysis handles multi-dimensional investigations with drill-downs and documented methodology. Automated Reports creates presentation-ready PowerPoint reports from live data on a schedule. Context Agent collects metrics, definitions, documentation, examples, and business rules across data systems so analysis remains governed and consistent.

How to Use Dot

1. Connect supported warehouses, databases, BI tools, documents, or flat files.
2. Add metric definitions, instructions, examples, and business rules through Context Agent.
3. Ask a question in plain English from Dot or a connected collaboration tool.
4. Review the generated SQL, chart, answer, or deep-analysis methodology.
5. Schedule recurring reports when stakeholders need updated presentations automatically.

Core Features

• Data chat: Translates natural-language questions into SQL, charts, and answers.
• Deep Analysis: Runs multi-step investigations with drill-downs and a visible methodology.
• Automated Reports: Delivers presentation-ready PowerPoint reports from current data on a schedule.
• Context Agent: Governs metrics, definitions, instructions, documentation, and business rules.
• Collaboration delivery: Provides insights in Slack, Microsoft Teams, and email.
• Data integrations: Connects to warehouses, databases, BI platforms, spreadsheets, APIs, and analytics tools.

Use Cases

• Self-service analytics: Let nontechnical stakeholders answer operational questions without building queries.
• Executive reporting: Generate and schedule polished presentations from live data.
• Complex investigation: Analyze performance across multiple dimensions and document the method.
• Metric governance: Reconcile definitions and preserve business context across data systems.
• Embedded team support: Answer recurring data questions inside existing collaboration channels.

Security

Dot states that it is SOC 2 audited and GDPR ready, uses zero data retention with its LLM providers, and includes audit logs, SSO, role-based access control, and row-level security.

Frequently Asked Questions

Does Dot require users to write SQL?

No. Users ask in plain language, and Dot finds tables, writes SQL, and produces a result.

Can Dot create recurring reports?

Yes. Automated Reports produces scheduled, presentation-ready PowerPoint files from live data.

Which data systems can Dot connect to?

The website lists sources including Snowflake, BigQuery, Redshift, Postgres, Databricks SQL, Microsoft SQL, MySQL, Tableau, Looker, Power BI, dbt, CSV, and Excel.