# Mammoth Analytics Documentation

> AI-powered data preparation and analytics platform. Upload datasets, build reversible transformation pipelines, and create dashboards.

Mammoth docs are available as Markdown: append `.md` to any docs URL, or send `Accept: text/markdown`. Non-browser user agents receive Markdown by default. Full text of every page: https://docs.mammoth.io/llms-full.txt

## Instructions for AI coding assistants

- Base URL for the Mammoth API: `https://<your app host>/api/v2` (your workspace's host; there is no public shared API host in these docs).
- Authentication: an API token sent as `Authorization: Bearer mm_...`, plus an `X-WORKSPACE-ID` header. `X-API-KEY` and `X-API-SECRET` are deprecated; do not use them in new code. The Python SDK takes `MammothClient(api_token=..., workspace_id=...)` and is async: use `async with` and `await` every call that reaches the API.
- There is no JavaScript or TypeScript SDK. Use the REST API, the Python SDK (`pip install mammoth-io`), or the CLI (`pip install --no-cache-dir --upgrade mammoth-cli`, then check `mammoth --version`).
- Install the CLI and its agent skill: `curl -fsSL https://github.com/EdgeMetric/mammothsdk/releases/latest/download/mammoth-install.sh | sh` (or `pipx install mammoth-cli && mammoth skill install`) (installs the `mammoth-cli` skill for Claude Code, Codex and Cursor). Alternative: `npx skills add https://docs.mammoth.io`.
- Discover the live command contract before writing code: `mammoth schema find "<goal>"` to find a command, `mammoth schema get <command.id>` for its input and blast radius, `mammoth capability list --output json` for the SDK method and API operation behind it.
- Keep credentials in environment variables; do not paste tokens into prompts or commit them.
- Product documentation for humans is under `/learn/`; API, CLI and SDK reference under `/build/`; agent setup under `/agents/`.

## Common tasks

- [Mammoth for coding agents](https://docs.mammoth.io/agents.md): Install the Mammoth CLI and its bundled skill, then let Claude Code, Codex or Cursor discover, read and safely mutate your Mammoth data.
- [Authentication](https://docs.mammoth.io/build/auth.md): Authenticate against the Mammoth API with an API token sent as a Bearer header. Base URL, credential storage, and how to log in without a terminal.
- [Quickstart](https://docs.mammoth.io/build/quickstart.md): From nothing to a transformed, exported dataset in about five minutes, shown three ways—curl, the mammoth-io Python SDK, and the Mammoth CLI.
- [Python SDK](https://docs.mammoth.io/build/sdk.md): Install mammoth-io, create a client, work with Views, apply transformations and export results. Python 3.12 to 3.14.

## Agents

- [Agents and CI](https://docs.mammoth.io/agents/ci.md): Log in without a terminal, pass structured input, wait on jobs, read the JSON envelope, and clean up safely. Machine behaviour turns on by itself.
- [Mammoth for coding agents](https://docs.mammoth.io/agents.md): Install the Mammoth CLI and its bundled skill, then let Claude Code, Codex or Cursor discover, read and safely mutate your Mammoth data.
- [Blast radius and safety](https://docs.mammoth.io/agents/safety.md): Six mutation classes and four confirmation policies. What each Mammoth command does to your data, and what it demands before it runs.
- [The agent skill](https://docs.mammoth.io/agents/skill.md): mammoth skill install puts a CLI playbook into your coding agent—authentication, discovery, structured input, job handling and confirmations.

## Build

- [Authentication](https://docs.mammoth.io/build/auth.md): Authenticate against the Mammoth API with an API token sent as a Bearer header. Base URL, credential storage, and how to log in without a terminal.
- [mammoth activity](https://docs.mammoth.io/build/cli/activity.md): All 2 mammoth activity commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth addon](https://docs.mammoth.io/build/cli/addon.md): All 7 mammoth addon commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth agent](https://docs.mammoth.io/build/cli/agent.md): All 14 mammoth agent commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth ai](https://docs.mammoth.io/build/cli/ai.md): All 5 mammoth ai commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth annotation](https://docs.mammoth.io/build/cli/annotation.md): All 5 mammoth annotation commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth auth](https://docs.mammoth.io/build/cli/auth.md): All 3 mammoth auth commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth automation](https://docs.mammoth.io/build/cli/automation.md): All 8 mammoth automation commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth batch](https://docs.mammoth.io/build/cli/batch.md): All 7 mammoth batch commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth billing](https://docs.mammoth.io/build/cli/billing.md): All 22 mammoth billing commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth browse](https://docs.mammoth.io/build/cli/browse.md): All 4 mammoth browse commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth capability](https://docs.mammoth.io/build/cli/capability.md): All 3 mammoth capability commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth client-app](https://docs.mammoth.io/build/cli/client-app.md): All 5 mammoth client-app commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth completion](https://docs.mammoth.io/build/cli/completion.md): All 2 mammoth completion commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth config](https://docs.mammoth.io/build/cli/config.md): All 4 mammoth config commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth connector](https://docs.mammoth.io/build/cli/connector.md): All 22 mammoth connector commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth context](https://docs.mammoth.io/build/cli/context.md): All 3 mammoth context commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth dashboard](https://docs.mammoth.io/build/cli/dashboard.md): All 116 mammoth dashboard commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth data-app](https://docs.mammoth.io/build/cli/data-app.md): All 12 mammoth data-app commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth dataset](https://docs.mammoth.io/build/cli/dataset.md): All 20 mammoth dataset commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth external-key](https://docs.mammoth.io/build/cli/external-key.md): All 4 mammoth external-key commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth file](https://docs.mammoth.io/build/cli/file.md): All 9 mammoth file commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth folder](https://docs.mammoth.io/build/cli/folder.md): All 10 mammoth folder commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [CLI reference](https://docs.mammoth.io/build/cli.md): All 40 mammoth CLI command families (595 commands), each linking to its commands, blast radius and backing SDK method.
- [mammoth job](https://docs.mammoth.io/build/cli/job.md): All 4 mammoth job commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth log](https://docs.mammoth.io/build/cli/log.md): All 2 mammoth log commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth notification](https://docs.mammoth.io/build/cli/notification.md): All 5 mammoth notification commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [Other commands](https://docs.mammoth.io/build/cli/other.md): The 5 mammoth CLI commands whose family holds fewer than two commands, plus 14 API-only operations with no CLI command, each with its blast radius and backing SDK method.
- [mammoth parameter](https://docs.mammoth.io/build/cli/parameter.md): All 14 mammoth parameter commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth project](https://docs.mammoth.io/build/cli/project.md): All 24 mammoth project commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth schedule](https://docs.mammoth.io/build/cli/schedule.md): All 5 mammoth schedule commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth schema](https://docs.mammoth.io/build/cli/schema.md): All 3 mammoth schema commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth skill](https://docs.mammoth.io/build/cli/skill.md): All 7 mammoth skill commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth snippet](https://docs.mammoth.io/build/cli/snippet.md): All 8 mammoth snippet commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth support](https://docs.mammoth.io/build/cli/support.md): All 45 mammoth support commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth template](https://docs.mammoth.io/build/cli/template.md): All 5 mammoth template commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth trash](https://docs.mammoth.io/build/cli/trash.md): All 3 mammoth trash commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth user](https://docs.mammoth.io/build/cli/user.md): All 8 mammoth user commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth view](https://docs.mammoth.io/build/cli/view.md): All 122 mammoth view commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth webhook](https://docs.mammoth.io/build/cli/webhook.md): All 7 mammoth webhook commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth workflow](https://docs.mammoth.io/build/cli/workflow.md): All 16 mammoth workflow commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [mammoth workspace](https://docs.mammoth.io/build/cli/workspace.md): All 25 mammoth workspace commands, each with its blast radius, confirmation policy and backing Python SDK method.
- [Capability contract](https://docs.mammoth.io/build/contract.md): Every mammoth CLI command and API-only operation (609 rows across 40 families), generated from `mammoth schema list` and `mammoth capability list`.
- [Embedding](https://docs.mammoth.io/build/embedding.md): Put a Mammoth board inside a page you control. The three embed modes, the origin allowlist, the workspace signing secret and the nine REST operations behind them.
- [Errors and exit codes](https://docs.mammoth.io/build/errors.md): The CLI error envelope, the exit-code table, which failures are worth retrying, and the per-method rate limits that apply to every caller.
- [Build with Mammoth](https://docs.mammoth.io/build.md): Everything you can do to Mammoth from code, in one place—the CLI, the Python SDK, and the REST API, plus the generated capability contract behind all three.
- [Pagination](https://docs.mammoth.io/build/pagination.md): Most Mammoth list endpoints page with limit and offset. Cursor pagination exists on exactly two of 471 operations. Measured against the v2 spec.
- [Quickstart](https://docs.mammoth.io/build/quickstart.md): From nothing to a transformed, exported dataset in about five minutes, shown three ways—curl, the mammoth-io Python SDK, and the Mammoth CLI.
- [Python SDK](https://docs.mammoth.io/build/sdk.md): Install mammoth-io, create a client, work with Views, apply transformations and export results. Python 3.12 to 3.14.

## Learn

- [AI-powered workflows](https://docs.mammoth.io/guides/advanced/ai-powered-workflow.md)
- [API-Driven Workflows](https://docs.mammoth.io/guides/advanced/api-workflows.md): Build automated workflows with Mammoth's API for enterprise data processing, orchestration, and integration patterns.
- [Custom Transformations](https://docs.mammoth.io/guides/advanced/custom-transforms.md): Create sophisticated custom transformation logic using AI, SQL queries, and advanced function combinations for complex business requirements.
- [Advanced Dataset Workflows](https://docs.mammoth.io/guides/advanced/dataset-workflows.md): Design and implement complex multi-dataset workflows using batch management, data consolidation, and orchestration coordination
- [Enterprise Implementation Patterns](https://docs.mammoth.io/guides/advanced/enterprise-patterns.md): Comprehensive guide to deploying Mammoth Analytics at enterprise scale with proven patterns from billion-row implementations
- [Incremental Updates](https://docs.mammoth.io/guides/advanced/incremental.md): Implement efficient incremental data update strategies to minimize processing time and maintain data currency without full dataset replacements.
- [Advanced](https://docs.mammoth.io/guides/advanced.md)
- [Multi-Source Data Consolidation](https://docs.mammoth.io/guides/advanced/multi-source.md): Advanced patterns for consolidating data from databases, APIs, and files into unified analytics workflows
- [Data Validation Workflows](https://docs.mammoth.io/guides/advanced/validation.md): Build comprehensive data validation pipelines with quality gates, exception routing, and automated fixes
- [Guides](https://docs.mammoth.io/guides.md)
- [Integration Guides Overview](https://docs.mammoth.io/guides/integrations.md): Connect Mammoth with your existing tools, databases, and business applications through proven workflow patterns and step-by-step guides.
- [Salesforce to Data Warehouse Integration](https://docs.mammoth.io/guides/integrations/salesforce-snowflake.md): Guide for getting cleaned Salesforce CRM data into a cloud data warehouse using Mammoth as the transformation layer—including what to do if that warehouse is Snowflake.
- [Salesforce to Tableau Integration](https://docs.mammoth.io/guides/integrations/salesforce-tableau.md): Connect Salesforce CRM data to Tableau using Mammoth for automated data preparation and cleaning—the parts of the flow that are specific to this tool pairing.
- [Quick wins](https://docs.mammoth.io/guides/quick-wins.md)
- [Setting Up SharePoint Client Credentials](https://docs.mammoth.io/guides/quick-wins/mammoth-sharepoint-integration.md)
- [AI Dashboard Creation with Mammoth Analytics](https://docs.mammoth.io/guides/use-cases/ai-dashboard-creation.md): Build production-ready dashboards in minutes using natural language—no SQL, no manual chart configuration
- [Batch Processing Workflows](https://docs.mammoth.io/guides/use-cases/batch-processing-workflows.md): Automate multi-file operations with orchestrated pipelines for recurring data processing at enterprise scale.
- [Customer Cohort Analysis](https://docs.mammoth.io/guides/use-cases/customer-cohorts.md): Analyze customer behavior over time through cohort analysis to improve retention by 30-50% and optimize customer lifetime value.
- [Data Quality Monitoring with Mammoth Analytics](https://docs.mammoth.io/guides/use-cases/data-quality.md): Proactively identify and fix data issues using AI-powered quality assessment across 6 dimensions with one-click fixes
- [Financial Reporting with Mammoth Analytics](https://docs.mammoth.io/guides/use-cases/financial-reporting.md): Automate month-end close, consolidate financial data, and create board-ready dashboards—reducing close time by 40-70%.
- [Use Cases](https://docs.mammoth.io/guides/use-cases.md)
- [Multi-Source Data Integration with Mammoth Analytics](https://docs.mammoth.io/guides/use-cases/multi-source-integration.md): Consolidate data from ERPs, CRMs, databases, files, and APIs into unified views for analysis—eliminating manual processes and enabling automated workflows.
- [Operational Dashboards with Mammoth Analytics](https://docs.mammoth.io/guides/use-cases/operational-dashboards.md): Create real-time operational dashboards in 15 minutes without BI training—from production monitoring to multi-property management.
- [Sales Analytics Use Case](https://docs.mammoth.io/guides/use-cases/sales-analytics.md): Transform CRM data into actionable sales insights with 95% time reduction and 25-40% forecast accuracy improvement
- [Mammoth Analytics Documentation](https://docs.mammoth.io/index.md)
- [Automation Fundamentals](https://docs.mammoth.io/learn/automation.md): Understand Mammoth's orchestration capabilities to automate data workflows, eliminate manual tasks, and coordinate multi-step processes.
- [Scheduling](https://docs.mammoth.io/learn/automation/scheduling.md): Configure automated orchestration timing with daily, weekly, monthly frequencies and timezone management.
- [Triggers](https://docs.mammoth.io/learn/automation/triggers.md): Configure when orchestrations execute using schedules, manual triggers, API calls, and event-based automation
- [Azure Blob Storage connector](https://docs.mammoth.io/learn/connectors/azure-blob-storage-connector.md)
- [Google BigQuery connector](https://docs.mammoth.io/learn/connectors/bigquery.md)
- [Databricks connector](https://docs.mammoth.io/learn/connectors/databricks.md)
- [Dropbox connector](https://docs.mammoth.io/learn/connectors/dropbox-connector.md)
- [Facebook Ads Manager](https://docs.mammoth.io/learn/connectors/facebook-ads-manager.md)
- [Google Cloud Storage connector](https://docs.mammoth.io/learn/connectors/google-cloud-storage-connector.md)
- [Google Drive connector](https://docs.mammoth.io/learn/connectors/google-drive.md)
- [Google Sheets connector](https://docs.mammoth.io/learn/connectors/google-sheets-connector.md)
- [Apache Hadoop connector](https://docs.mammoth.io/learn/connectors/hadoop-connector.md)
- [Hubspot connector](https://docs.mammoth.io/learn/connectors/hubspot-connector.md)
- [Connectors](https://docs.mammoth.io/learn/connectors.md)
- [Mailchimp connector](https://docs.mammoth.io/learn/connectors/mailchimp-connector.md)
- [Microsoft Dynamics connector](https://docs.mammoth.io/learn/connectors/microsoft-dynamics-connector.md)
- [Monday.com connector](https://docs.mammoth.io/learn/connectors/monday-connector.md)
- [MongoDB connector](https://docs.mammoth.io/learn/connectors/mongodb.md)
- [SQL Server connector](https://docs.mammoth.io/learn/connectors/mssql.md)
- [MySQL connector](https://docs.mammoth.io/learn/connectors/mysql.md)
- [Netsuite connector](https://docs.mammoth.io/learn/connectors/netsuite-connector.md)
- [Network requirements & IP whitelisting](https://docs.mammoth.io/learn/connectors/network-requirements.md)
- [OneDrive connector](https://docs.mammoth.io/learn/connectors/onedrive-connector.md)
- [Parquet (Azure) connector](https://docs.mammoth.io/learn/connectors/parquet-connector.md)
- [PDF Extraction](https://docs.mammoth.io/learn/connectors/pdf-extraction.md): Automate structured data extraction from recurring PDF documents with natural language prompts
- [PostgreSQL connector](https://docs.mammoth.io/learn/connectors/postgresql-connector.md)
- [REST API](https://docs.mammoth.io/learn/connectors/rest-api.md)
- [Salesforce connector](https://docs.mammoth.io/learn/connectors/salesforce-connector.md)
- [SAP HANA connector](https://docs.mammoth.io/learn/connectors/sap-hana-connector.md)
- [SendGrid connector](https://docs.mammoth.io/learn/connectors/sendgrid-connector.md)
- [SFTP connector](https://docs.mammoth.io/learn/connectors/sftp.md)
- [SharePoint connector](https://docs.mammoth.io/learn/connectors/sharepoint-connector.md)
- [Shopify connector](https://docs.mammoth.io/learn/connectors/shopify-connector.md)
- [Snowflake connector](https://docs.mammoth.io/learn/connectors/snowflake-connector.md)
- [Understanding data preview & query](https://docs.mammoth.io/learn/connectors/understanding-data-preview-query.md)
- [Xero connector](https://docs.mammoth.io/learn/connectors/xero-connector.md)
- [Creating Dashboards](https://docs.mammoth.io/learn/dashboard/creating-dashboards.md)
- [Dashboard Filters](https://docs.mammoth.io/learn/dashboard/dashboard-filters.md)
- [Multi-Page Navigation](https://docs.mammoth.io/learn/dashboard/dashboard-navigations.md)
- [Dashboard Themes](https://docs.mammoth.io/learn/dashboard/dashboard-themes.md)
- [Dashboards](https://docs.mammoth.io/learn/dashboard.md)
- [Managing Dashboards](https://docs.mammoth.io/learn/dashboard/managing-dashboard.md)
- [Publishing & Sharing Dashboards](https://docs.mammoth.io/learn/dashboard/share-dashboard.md)
- [Add or Replace Data](https://docs.mammoth.io/learn/data-library/add-or-replace-data.md)
- [Cloning and Moving Datasets](https://docs.mammoth.io/learn/data-library/clone-move-data.md)
- [The Dataset Panel](https://docs.mammoth.io/learn/data-library/dataset-panel.md)
- [Data Library](https://docs.mammoth.io/learn/data-library.md)
- [Parameters & Snippets](https://docs.mammoth.io/learn/data-library/parameters-snippets.md)
- [Data Consolidation](https://docs.mammoth.io/learn/data-orchestration/data-consolidation.md)
- [Dataset Refresh](https://docs.mammoth.io/learn/data-orchestration/dataset-refresh.md)
- [Data Orchestration](https://docs.mammoth.io/learn/data-orchestration.md)
- [Managing orchestrations](https://docs.mammoth.io/learn/data-orchestration/managing-orchestration.md)
- [Messaging](https://docs.mammoth.io/learn/data-orchestration/messaging.md)
- [Creating an orchestration](https://docs.mammoth.io/learn/data-orchestration/orchestration-creation.md)
- [Orchestration types](https://docs.mammoth.io/learn/data-orchestration/orchestration-types.md)
- [Batch Management](https://docs.mammoth.io/learn/data-sources/batch-management.md): Master dataset versions with combine vs replace modes, batch identification, and automated historical tracking.
- [Batch Operations in Detail](https://docs.mammoth.io/learn/data-sources/batch-operations-detail.md): Advanced guide to Mammoth's batch management system for versioning, historical data, and multi-source consolidation.
- [Connection Troubleshooting](https://docs.mammoth.io/learn/data-sources/connection-troubleshooting.md): Diagnose and resolve Live Connection issues including authentication failures, network problems, and performance issues
- [Dataset Creation Options](https://docs.mammoth.io/learn/data-sources/dataset-creation-options.md): Compare all six dataset creation methods to choose the optimal approach for your data workflow
- [File Upload](https://docs.mammoth.io/learn/data-sources/file-upload.md): Upload CSV, Excel, JSON, and other files to create datasets with automatic schema detection and batch processing capabilities.
- [Generate Dataset with AI](https://docs.mammoth.io/learn/data-sources/generate-with-ai.md): Create realistic test data in 30 seconds using natural language prompts - perfect for testing pipelines and prototyping dashboards.
- [Import from URL](https://docs.mammoth.io/learn/data-sources/import-from-url.md): Automatically import data from web URLs with scheduled refresh workflows and cloud storage integration
- [Data Sources](https://docs.mammoth.io/learn/data-sources.md): Understand all six methods to bring data into Mammoth Analytics and choose the right approach for your workflow.
- [Paste from Clipboard](https://docs.mammoth.io/learn/data-sources/paste-from-clipboard.md): Upload data instantly by pasting from Excel, Google Sheets, or any structured data source for quick analysis and ad-hoc questions.
- [Sample Files](https://docs.mammoth.io/learn/data-sources/sample-files.md): Explore Mammoth with pre-loaded datasets across industries - no data upload required
- [Supported File Formats](https://docs.mammoth.io/learn/data-sources/supported-formats.md): Complete guide to all file formats you can upload to Mammoth, including size limits and format-specific best practices.
- [View Management](https://docs.mammoth.io/learn/data-sources/view-management.md): Master Views, Batches, and version control to organize data transformations and collaborate effectively with your team.
- [Webhooks](https://docs.mammoth.io/learn/data-sources/webhooks.md)
- [Column Browser](https://docs.mammoth.io/learn/explore-discover/column-browser.md)
- [Data Quality Report](https://docs.mammoth.io/learn/explore-discover/data-quality-report.md): AI-powered assessment using DAMA framework to evaluate data health across 6 quality dimensions with actionable fixes
- [Date Columns Cards](https://docs.mammoth.io/learn/explore-discover/explore-cards-date.md): Discover temporal patterns, seasonality, and data completeness through automatic date visualizations
- [Explore Cards - Interactions](https://docs.mammoth.io/learn/explore-discover/explore-cards-interactions.md): Master single-click vs double-click behaviors, progressive discovery, and filter-to-pipeline automation in Explore Cards
- [Numeric Column Cards](https://docs.mammoth.io/learn/explore-discover/explore-cards-numeric.md): Understand numeric data distributions through automatic histograms, statistics, and intelligent grouping for instant outlier detection and quality control.
- [Explore Cards](https://docs.mammoth.io/learn/explore-discover/explore-cards-overview.md): Automatic visual analytics that generate interactive charts for every column, enabling instant data understanding and quality assessment.
- [Text Column Cards](https://docs.mammoth.io/learn/explore-discover/explore-cards-text.md): Discover data quality issues and value patterns in text columns through automatic visual profiling and interactive exploration.
- [Explore & Discover](https://docs.mammoth.io/learn/explore-discover.md): Interactive data exploration tools for immediate insight into data quality, patterns, and distributions without transformation
- [Metrics Panel](https://docs.mammoth.io/learn/explore-discover/metrics-panel.md): Create dynamic KPIs and calculations with instant filter updates, no SQL required
- [View Insights (5 Key Insights)](https://docs.mammoth.io/learn/explore-discover/view-insights.md): Generate AI-powered business insights in 30 seconds to discover patterns, trends, and anomalies automatically
- [When to Use Each Discovery Tool](https://docs.mammoth.io/learn/explore-discover/when-to-use-each.md): Decision framework for choosing the right data discovery tool based on your analysis goals and time constraints
- [Download Options](https://docs.mammoth.io/learn/export-share/download-options.md): Export data instantly to CSV and Excel formats, or save it as a new Dataset, for offline analysis and stakeholder distribution
- [Export formats](https://docs.mammoth.io/learn/export-share/export-formats.md): Download data as CSV or Excel, or save it as a new Mammoth Dataset — what each option is for and when to use it
- [Export & Share](https://docs.mammoth.io/learn/export-share.md): Get your transformed data to stakeholders through dashboards, file exports, and automated destinations
- [Live Links](https://docs.mammoth.io/learn/export-share/live-links.md): Persistent URLs that automatically update with fresh data for seamless BI tool integration
- [Publish](https://docs.mammoth.io/learn/export-share/published-views.md): Turn a View into an AI-generated, shareable dashboard — no BI tool or viewer licences required.
- [Send to Destinations](https://docs.mammoth.io/learn/export-share/send-to-destinations.md): Export data to databases, BI tools, applications, and cloud storage with automated sync options.
- [Core Concepts](https://docs.mammoth.io/learn/getting-started/core-concepts.md): Master the seven fundamental concepts that power Mammoth Analytics and unlock the entire platform.
- [Your first pipeline](https://docs.mammoth.io/learn/getting-started/first-pipeline.md): Build your first data transformation pipeline in Mammoth with step-by-step guidance from data upload to automated workflow.
- [Getting Started with Mammoth](https://docs.mammoth.io/learn/getting-started.md): Transform your data operations from bottleneck to competitive advantage with Mammoth's cloud-based analytics platform built for business users.
- [Technical User Path](https://docs.mammoth.io/learn/getting-started/jay-technical-path.md): Enable your team with templates and advanced features - reduce IT dependencies by 80%
- [Getting Started: Manager Path](https://docs.mammoth.io/learn/getting-started/jordan-manager-path.md): Enable your team with standardized data processes, governance oversight, and executive dashboards in your first week.
- [Key Features Overview](https://docs.mammoth.io/learn/getting-started/key-features.md): Discover Mammoth's seven powerful capabilities that transform data operations from weeks to hours
- [Quick Start Guide](https://docs.mammoth.io/learn/getting-started/quick-start.md): Build your first Mammoth pipeline in 15-20 minutes with this hands-on tutorial using sample data.
- [Getting Started: Business Analyst Path](https://docs.mammoth.io/learn/getting-started/sam-analyst-path.md): Your 30-day journey from Excel workflows to automated reporting with Mammoth Analytics
- [Configure Workspace](https://docs.mammoth.io/learn/getting-started/setup-workspace-guide.md): Your team's home in Mammoth—invite users, structure projects, and configure security before you start building pipelines.
- [What is Mammoth Analytics?](https://docs.mammoth.io/learn/getting-started/what-is-mammoth.md): A no-code data preparation and AI-powered dashboard platform that enables business users to automate data workflows in minutes instead of weeks.
- [Learn](https://docs.mammoth.io/learn.md)
- [Activity Log](https://docs.mammoth.io/learn/monitor/activity-log.md): Complete audit trail and event monitoring for compliance, troubleshooting, and system oversight
- [Monitor](https://docs.mammoth.io/learn/monitor.md): Real-time visibility into everything running, waiting for action, or paused in your Mammoth workspace—pipelines, orchestrations, and auto-sync status.
- [Connector Performance Optimization & Best Practices](https://docs.mammoth.io/learn/performance/connector-optimization.md): Optimize live connection performance, troubleshoot integration issues, and implement best practices for high-volume data connections
- [Performance](https://docs.mammoth.io/learn/performance.md)
- [Pipeline Optimization](https://docs.mammoth.io/learn/performance/pipeline-optimization.md): Optimize pipeline performance with proven patterns from 200+ customer implementations, reducing execution time by 60-80%.
- [Creating a Project](https://docs.mammoth.io/learn/projects/create-project.md)
- [Projects](https://docs.mammoth.io/learn/projects.md)
- [Project Roles & Permissions](https://docs.mammoth.io/learn/projects/project-roles-and-permissions.md)
- [Project Settings](https://docs.mammoth.io/learn/projects/project-settings.md)
- [Sharing a Project](https://docs.mammoth.io/learn/projects/project-sharing.md)
- [Access Control](https://docs.mammoth.io/learn/security-overview/access-control.md)
- [Audit Logs](https://docs.mammoth.io/learn/security-overview/audit-logs.md)
- [Authentication](https://docs.mammoth.io/learn/security-overview/authentication.md)
- [Compliance](https://docs.mammoth.io/learn/security-overview/compliance.md)
- [Data Security](https://docs.mammoth.io/learn/security-overview/data-security.md)
- [Security & Compliance Overview](https://docs.mammoth.io/learn/security-overview.md)
- [AI SQL Query](https://docs.mammoth.io/learn/transform/ai-sql-query.md)
- [Column Management](https://docs.mammoth.io/learn/transform/column-management.md)
- [Column Menu](https://docs.mammoth.io/learn/transform/column-menu.md)
- [Conditional Highlights](https://docs.mammoth.io/learn/transform/conditional-highlights.md)
- [Pipeline Controls](https://docs.mammoth.io/learn/transform/controls.md)
- [Date, Numeric & Text](https://docs.mammoth.io/learn/transform/date-numeric-text.md)
- [Display Changes vs Pipeline Tasks](https://docs.mammoth.io/learn/transform/display-changes-vs-pipeline-tasks.md)
- [Filter, Label & Replace](https://docs.mammoth.io/learn/transform/filter-label-replace.md)
- [Format Guide—Column Type Conversions](https://docs.mammoth.io/learn/transform/format-guide.md)
- [Function Reference](https://docs.mammoth.io/learn/transform/function-reference.md)
- [Generative AI](https://docs.mammoth.io/learn/transform/generative-ai.md)
- [Grid Operations](https://docs.mammoth.io/learn/transform/grid-operations.md)
- [Transform & Pipeline](https://docs.mammoth.io/learn/transform.md)
- [Overview](https://docs.mammoth.io/learn/transform/overview.md): Create automated data workflows with visual pipelines - no coding required, 90% faster than traditional tools
- [Pipeline Health and Error State](https://docs.mammoth.io/learn/transform/pipeline-health-and-error-state.md)
- [Reshape, Group & Pivot](https://docs.mammoth.io/learn/transform/reshape-group-pivot.md)
- [Understanding the Pipeline](https://docs.mammoth.io/learn/transform/understanding-the-pipeline.md)
- [Unify](https://docs.mammoth.io/learn/transform/unify.md)
- [Trash and Recovery](https://docs.mammoth.io/learn/trash-recovery.md)
- [Connection Troubleshooting](https://docs.mammoth.io/learn/troubleshooting/connection-troubleshooting.md): Diagnose and resolve Live Connection issues including authentication failures, network problems, and performance issues
- [Dashboard Issues](https://docs.mammoth.io/learn/troubleshooting/dashboard-issues.md): Troubleshoot common AI dashboard creation, loading, sharing, and rendering problems for reliable visualization workflows.
- [Data Quality Issues](https://docs.mammoth.io/learn/troubleshooting/data-quality-issues.md): Identify, assess, and resolve data quality problems using Mammoth's built-in tools for reliable transformations and trustworthy insights.
- [Error Messages Reference](https://docs.mammoth.io/learn/troubleshooting/errors.md): Complete guide to understanding and resolving all Mammoth Analytics error messages with specific solutions.
- [Troubleshooting](https://docs.mammoth.io/learn/troubleshooting.md): Complete guide to diagnosing and solving common Mammoth platform issues quickly and effectively.
- [Performance Issues](https://docs.mammoth.io/learn/troubleshooting/performance-issues.md): Identify, diagnose, and resolve slowdowns in pipelines, orchestrations, and dashboards for optimal performance.
- [Transformation Errors](https://docs.mammoth.io/learn/troubleshooting/transformation-errors.md): Identify, understand, and resolve common transformation errors in Mammoth pipelines to maintain reliable data workflows.
- [Workspace Management](https://docs.mammoth.io/learn/workspace-management.md)
- [Creating a Workspace](https://docs.mammoth.io/learn/workspace-management/workspace-creation.md)
- [Workspace Settings](https://docs.mammoth.io/learn/workspace-management/workspace-settings.md)
- [Migrating from Alteryx to Mammoth](https://docs.mammoth.io/migration/from-alteryx.md): Compare Alteryx vs Mammoth for data transformation, focusing on business user accessibility, cost savings, and complement strategies.
- [Migrating from Excel to Mammoth](https://docs.mammoth.io/migration/from-excel.md): Guide for Excel power users to transition workflows to Mammoth, solving volume, variety, and velocity limitations
- [Migrating from Power Query](https://docs.mammoth.io/migration/from-power-query.md): Guide for Microsoft Power Query users transitioning to Mammoth Analytics while maintaining ecosystem integration
- [Python/Pandas Comparison](https://docs.mammoth.io/migration/from-python-pandas.md): Compare Mammoth's visual pipelines to Python/Pandas code-based data manipulation for migration decisions
- [Migrating from Tableau Prep to Mammoth](https://docs.mammoth.io/migration/from-tableau-prep.md): Strategic guide for Tableau Prep users comparing features, costs, and migration pathways to faster, AI-powered data preparation
- [Migration](https://docs.mammoth.io/migration.md)
- [Migration Checklist](https://docs.mammoth.io/migration/migration-checklist.md): Complete step-by-step guide for migrating from Excel, Alteryx, and other data tools to Mammoth Analytics with proven timelines and success strategies.