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Automate and share data in Mammoth: exports, dashboards

Once a view's pipeline is built, Mammoth keeps it current with automations and gets the results out as dashboards, docs, slides, downloads and exports. Start from Dashboards > Create, the Automations tab in the Data Library, or Export in the view toolbar. For what Mammoth is as a whole, see What is Mammoth.

Build dashboards, docs and slides with AI

Click Dashboards in the left sidebar, then Create. Pick your data, choose a format and describe what you need. The AI reads your columns and builds a styled, interactive Dashboard, Doc, Slides deck, Q&A page or Explore page, which you refine with the AI chat or by hand. See Create a dashboard and Docs and slides.

Product Performance Dashboard with a Dashboard Assistant prompt, filters, revenue metrics, a revenue-by-category donut chart, and a brand bar chart Sales Performance dashboard with filter pills, a one-paragraph summary, four headline numbers and charts of deal value over time and won against lost by region

Share with Sign-in required (people with a Mammoth account), Anyone with the link and password, or Anyone with the link. You can also send email updates and see who read it, for executive reporting, stakeholder updates or client dashboards. See Publish and share a dashboard. Your plan sets how many dashboards you can publish and your monthly AI generations (Limits and quotas).

Automate refreshes, exports and emailed reports

Automations run recurring work without manual steps, from the Automations tab in the Data Library:

TypeWhat it does
Dataset RefreshFetches the latest data for datasets from a database, app or API connector, or from a URL. Several datasets can refresh In parallel or In a sequence.
File CollectionCollects files from cloud folders into a Mammoth folder. Available on plans that include it.
Data ConsolidationCombines or replaces a dataset's data when a new file arrives in a folder.
Scheduled ExportRuns a view's export steps on a schedule, whether or not the data changed.
MessagingEmails people a view on a schedule, as a CSV attachment.
Automation run: a Monday 6:00 AM trigger leads to Dataset Refresh, Pipeline Execution, Export to PostgreSQL, and Email Notification, each with a status

Your plan sets the shortest schedule interval. Monitor shows running and past runs and anything that needs attention. See What you can automate and Activity log.

Export and share your data

Control in the view toolbarWhat it does
Download icon (Save a copy)A one-time copy: Download file (CSV, Excel, JSON and more), New dataset, or Email to people in the workspace.
ExportAdds an export task that delivers data every time the pipeline runs. Tabs: External Destinations and Mammoth Managed.
PublishOpens the create page to build a dashboard, doc, slides or Q&A from the view.
  • External Destinations: Google BigQuery, PostgreSQL, MySQL, SQL Server, Amazon Redshift, Snowflake, Databricks, Elasticsearch, SFTP, SharePoint, Azure Blob Storage, OneDrive, Google Sheets, Email, Tableau Server/Cloud and REST API Export. Somewhere else… asks the AI Agent to build an export to another API, on Enterprise plans.
  • Mammoth Managed: Send to Dataset (push results into another dataset, even in another project), Live link (a URL that always serves the current data as CSV) and a Mammoth-managed Google BigQuery or PostgreSQL database.

Send to Dataset, Snowflake, Databricks, Google Sheets and Email are on every plan. Other destinations depend on your plan; a card your plan doesn't include shows a Trial pill. See Send data to a database or BI tool.

Animation of a 100,000-row sales_data_2026.csv View with a 6-task pipeline, where the cursor moves to the Export button

Export menu open on External Destinations: Azure Blob Storage, Google BigQuery, Databricks, Elasticsearch, Email, REST API Export, Google Sheets, SQL Server, MySQL, OneDrive, PostgreSQL, Amazon Redshift, SFTP, SharePoint, Snowflake, Tableau Server/Cloud and Somewhere else

Example: a manufacturing team end to end

In this illustrative example, a manufacturing team connects its SAP HANA production database and its quality system. Explore Cards on the product category column show many empty values. The team's pipeline filters out test records, standardises vendor names with Bulk Replace, joins production with quality data, and calculates defect rates by product line.

A Dataset Refresh automation pulls new data every Monday morning, and the pipeline applies the same steps. A dashboard of production and quality trends is shared with Sign-in required, so plant managers sign in to see it. An export task sends the results to the team's BigQuery warehouse after every run.

Six-stage workflow from Live Connections to Export, with Authenticated and Public sharing modes under AI Dashboards

Automate one manual process you repeat every month first.

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