> AI agents: this is one page from Mammoth Analytics documentation. The index of all pages as Markdown is https://docs.mammoth.io/llms.txt. Append `.md` to any docs URL, or send `Accept: text/markdown`, to get Markdown.

# Guides

> Task-oriented Mammoth guides for building end-to-end workflows, connecting specific tool pairs, and designing advanced pipelines, governance and API automation.

Reference documentation explains how each feature works. The guides show how to combine features into complete workflows. They are written for analysts, data engineers, and administrators who know the Mammoth basics and want to build something specific.

## Where to start

- **You have a business outcome in mind**: start with [Use cases](https://docs.mammoth.io/guides/use-cases/).
- **You want to connect two specific tools or set up a connection**: go to [Integrations](https://docs.mammoth.io/guides/integrations/).
- **You are building complex pipelines or running Mammoth for several teams**: read [Advanced patterns](https://docs.mammoth.io/guides/advanced/).
- **You are moving from another tool**: see the [Migration guides](https://docs.mammoth.io/migration/).

## Sections in this guide collection

- [Use cases](https://docs.mammoth.io/guides/use-cases/): Outcome-focused workflows for sales reporting, financial consolidation, customer segmentation, data quality monitoring, dashboards, and batch processing.
- [Integrations](https://docs.mammoth.io/guides/integrations/): Walkthroughs for specific tool pairings, such as Salesforce to Tableau and Salesforce to a data warehouse, and the SharePoint client credentials setup.
- [Advanced patterns](https://docs.mammoth.io/guides/advanced/): Guides on enterprise architecture, data validation, incremental processing, multi-source joins, custom transforms, dataset lifecycle, AI-powered workflows, and API workflows.

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Source: https://docs.mammoth.io/guides.md · Updated: 2026-10-13