Start here: getting started with Mammoth Analytics
Mammoth is a cloud data platform for business teams: you bring data into a project, clean and combine it in a pipeline, keep it current with automations, and send it on as exports, dashboards, docs or slides. This section is for new users in any role: start with the Quick start, or pick a plan for your role in Pick your path.
Which page do I need?
| I want to... | Go to |
|---|---|
| Understand what Mammoth does and who it's for | What is Mammoth |
| Try the whole workflow on one file, ending with a shared dashboard | Quick start |
| Build a pipeline step by step on sample data | Build your first pipeline |
| Learn how workspaces, projects, datasets, views and pipelines fit together | Core ideas |
| Set up a new workspace for my team | Set up your workspace |
| Get a plan for my role: analyst, manager or technical user | Pick your path |
| Automate my Excel reports as an analyst | Mammoth for data analysts |
| Set up and oversee my data team as a manager | Mammoth for managers |
| Use SQL, templates and automation as an engineer | Mammoth for technical users |
| Look up a term or a number | Glossary and Limits and quotas |
| Drive Mammoth from code or from my own AI client | Build with Mammoth for the CLI, Python SDK and API, and Mammoth for coding agents for the MCP server |
Tip: start by automating one report you rebuild by hand every week or month. Learn views and pipelines first, because the rest builds on them; then add connectors and automations.
Get help and training
- Support: click the Support chat icon at the bottom of the left navigation, or email support@mammoth.io.
- Troubleshooting: fixes for connection, pipeline, dashboard and performance problems in Troubleshooting.
- Training: ask for onboarding sessions or workshops for your team at mammoth.io/demo.
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