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Set up projects in a new Mammoth workspace

Project Admin · Updated 8 Nov 2026

A project is where one team keeps its data, connections and members. You set it up from the project selector in the Data Library: a Project Admin opens Project Settings to name it and choose its date handling and who can access it. Every new workspace has a default project named New project; you are its Project Admin and can rename, manage or delete it from the project menu.

Data Library with the project selector open, listing the default project New project and a New Project option, above an empty datasets view

Choose a project structure

PatternExample projectsBest for
Department-basedSales, Finance, OperationsTeams that work independently on their own data
Client-basedClient_A, Client_B, InternalConsulting firms and agencies with several clients
Process-basedRaw_Data, Transformation, ReportingCentral data teams running organisation-wide workflows
Three workspace layouts: department-based (Sales, Finance, Operations), client-based (Client A, Client B, Internal), and process-based (Raw Data, Transform, Reporting)

Start with two or three projects. You can add more later.

Open the project menu

In the Data Library, click the project selector (the dropdown arrow next to the project name) and hover a project for its overflow menu (...):

Your roleMenu items
Project AdminProject Settings (rename, colour, Dates, who can access), Manage Users (add or remove workspace members and assign project roles), Leave Project, Delete Project
Project EditorLeave Project, and Delete Project greyed out
Workspace Owner not in the projectManage Users and Join Project, so you can add people to any project

No Project Settings or Manage Users? You're an Editor; ask your Project Admin for a role change.

Configure project settings

  1. Open the project's overflow menu and click Project Settings.
  2. Edit the Project Name, for example SALES_Pipeline, CLIENT_Acme or Q3-Analysis.
  3. Pick a Project colour so the project is easy to spot in lists.
  4. Under Dates, click Set (or Change) and pick a preset (see the table).
  5. Under Who can access, pick an option (see the table).
  6. Click Save changes.
Dates presetWhat it does
USReads 06/12 as 12 Jun
UK / EuropeReads 06/12 as 6 Dec
International (ISO)Reads 06/12 as 6 Dec
Not setNo project default. Uploads are read day first, and new date columns keep their own format

For sources with different date conventions, Customise reading and display… sets the two parts separately. Reading dates in uploaded files (Day first or Month first) applies to CSV, Excel and PDF uploads. Showing dates sets the format for new date columns; any column can override it.

Who can accessWho gets inUse it for
Everyone in this workspaceAll workspace members, without an invitationShared reference data, company-wide reporting
Some people in this workspaceOnly the people you tick in the user list, each with a role (Project Admin, Project Editor or Project Viewer)Department or client projects with restricted data
Only meOnly youPersonal analysis, experiments, sensitive work in progress

See Projects.

Starter projects and naming

  • A Sandbox or "Testing" project to practise and test pipelines away from production data.
  • At least one production project for your pattern: first department, first client, or raw data ingestion.
  • A "Shared Resources" project for data several teams need, such as reference data, organisational hierarchies or lookup tables.

Name projects for their purpose, with department or client identifiers and prefixes that group them: SALES_Pipeline, SALES_Reports, CLIENT_Acme, CLIENT_Beta.

Connections and datasets in one project can't be opened from another. To move data across, a pipeline pushes its output into another project's dataset with Send to Dataset.

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