Setup Org and Workspace
Organization

Workspace


Main sections
Section
Purpose
Workflow steps
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Before you begin any analytical work in RootCause, you need to be in the right place. All of the seven-step workflow — from connecting data through producing reports — happens inside a workspace. Understanding the container model will help you stay organized as your work grows.
Your top-level account. Contains workspaces, users, and billing settings. Most companies have one organization with multiple workspaces for different teams or projects.

A workspace is the collaboration boundary for a specific project or team. Each workspace has its own datasets, ontology, digital twins, simulations, and reports. Use workspaces to separate different analytical domains — marketing might have one workspace, operations another.
To create a workspace, click the New workspace card on the Organization home. Give it a descriptive name — the name helps RootCause improve its analysis recommendations.

Opening a workspace lands on Sources — the de-facto workspace home (the workspace root URL redirects there). A new workspace starts empty, and the guided journey card walks you through the first steps — or click Don't guide me in this workspace to navigate freely.

Within a workspace, six sections in the top navigation bar correspond to the stages of the workflow:
Sources
Import raw data — click Import data to upload files or set up connectors
Step 1
Ontology
Review and refine the semantic map built from your sources
Step 2
Datasets
Data views derived from your workspace sources — build the 360 Table here
Step 3
Digital Twins
Build causal graphs, train twins, run simulations
Steps 4–6
Reports
Create and share analytical reports
Step 7
Applications
Publish and run apps built on your workspace
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The Applications section sits outside the seven-step workflow: it is where finished analytical work gets operationalized. You can publish applications built on your workspace's data and Digital Twins, and workspace members can run them without touching the underlying models.
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