> 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.

# What is Mammoth analytics?

> Mammoth Analytics is a no-code data preparation and AI dashboard platform. Learn what it does, who it is for, and what it does not do.

Mammoth Analytics is a no-code data preparation and AI-powered dashboard creation platform that enables business users to automate data workflows. It makes data operations accessible to business analysts, operations managers, and domain experts without requiring IT support or extensive technical training.

[Video: Watch on YouTube](https://www.youtube.com/watch?v=fCVYh8GdPlk)

## The data preparation problem Mammoth addresses

Business teams often spend more time preparing data than analyzing it, for these reasons:

- Spreadsheets have row limits and don't automate recurring work
- Traditional data preparation tools require technical training
- BI tools require clean data input
- IT teams become bottlenecks for simple data requests

The result is manual processes, back-and-forth between business teams and IT, and a steep learning curve.

![Table comparing a manual Excel process with an automated Mammoth pipeline across data sources, cleaning, automation, and governance](https://docs.mammoth.io/api/v1/images/20260408_152802_AftercomparisonExcel.jpg)

## How Mammoth works

Mammoth is built on three principles:

### Accessibility over complexity

Mammoth has an Excel-familiar interface with drag-and-drop operations. Visual pipeline development requires no coding.

![Animation of reordering tasks in the Pipeline panel beside the Sales_2026 data table](https://docs.mammoth.io/api/v1/images/20260302_171356_reorder-tasks_1-test.gif)

### End-to-end data journey

Mammoth covers the whole data workflow:

**Connect**: Access connectors including files, databases, APIs, and cloud applications through Live Connections

**Explore**: Interact with automatically generated Explore Cards for column-level filtering and quick data exploration

**Assess**: Use **View Data Quality** and **View Insights** to profile datasets, detect issues, and understand patterns

**Transform**: Visual transformation functions plus AI-powered capabilities let you clean, combine, and reshape data without coding

**Analyze**: Built-in metrics and calculations

**Share**: AI-powered dashboards, flexible exports, and Live Links deliver insights to stakeholders

To build your first automated pipeline, follow the [Quick start](https://docs.mammoth.io/learn/getting-started/quick-start).

### Cloud-based infrastructure and certifications

Mammoth runs on cloud-based infrastructure, so there are no local hardware limits. The platform is SOC 2 Type II and ISO 27001 certified.

![Regional Sales Performance Dashboard with filters, key insights, and ring charts of revenue by location and category](https://docs.mammoth.io/api/v1/images/20260408_152819_DashboardShowing.jpg)

## Who Mammoth is for

### Business analysts

Excel power users hitting scalability limits who need to automate recurring monthly or weekly reports. Mammoth turns manual work into automated pipelines, for example when consolidating multi-source reports.

### Technical enablers

IT and analytics teams supporting business users who are overwhelmed by simple data requests. Data engineers use Mammoth to enable self-service analytics across the organization.

### Operations managers

Leaders who need visibility into data processes and want their teams to be self-sufficient. Mammoth provides audit trails and governance while enabling team independence. Operations leaders use it to standardize workflows across multiple teams.

### Industries Mammoth is used in

**Financial Services**: Regulatory reporting and compliance automation with complete audit trails

**Manufacturing**: Production data consolidation, quality analysis, and supply chain visibility

**Hospitality**: Multi-location operations reporting and guest experience analytics

**CPG**: Retail analytics and distributor data harmonization across channels

## Who Mammoth is not for

Mammoth has these limits:

**Not a traditional data warehouse**: Mammoth provides cloud-based data storage optimized for active transformation work, not long-term historical archiving. Many customers export transformed data to warehouses like Snowflake or Redshift for long-term analytical storage.

**Not for advanced data science modeling**: Our focus is data preparation and business analytics, not building ML/AI models in Python or R.

**Not for real-time streaming**: Mammoth optimizes for batch processing and transformation workflows, not sub-second event streaming.

**Not a code-based ETL tool**: If your team prefers writing Python or SQL scripts over visual interfaces, traditional ETL tools may be a better fit.

Mammoth sits between data sources and analysis as the transformation layer: business users prepare data themselves, then send it wherever needed.

## Platform capabilities

**Visual pipeline development**: Drag-and-drop transformation functions accessible to anyone

**AI-powered transformations**: Describe what you want and get a working pipeline

**Explore Cards**: Automatically generated, interactive column-level visualizations for quick filtering and exploration

**Live Connections**: Connections to databases, applications, and APIs

**AI dashboards**: Build dashboards by describing what you want

**Automations**: Schedule, automate, and monitor data workflows

**Export flexibility**: Send data to databases, warehouses, BI tools, files, or APIs

![Seven cards: Visual Pipeline, AI Transformations, Explore Cards, Live Connections, AI Dashboards, Orchestration, Export](https://docs.mammoth.io/api/v1/images/20260408_152856_Platformcapabilities.jpg)

## Security

- SOC 2 Type II certified
- ISO 27001 compliant
- SSO (SAML/OIDC) and enforced MFA, available as plan features

![Grid of customer logos under the heading Trusted by, including NielsenIQ, Starbucks, and Bacardi](https://docs.mammoth.io/api/v1/images/20260408_152914_Platformcapabilities-1.jpg)

## Getting started

To begin:

1. **Try the quick start**: Build your first pipeline

2. **Explore by persona**: Choose your role-based learning path for targeted guidance

3. **Sign up for a trial**: Try Mammoth with your own data

Start with one manual process you repeat monthly and automate that first.

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Source: https://docs.mammoth.io/learn/getting-started/what-is-mammoth.md · Updated: 2026-10-13