Are you an LLM? Read llms.txt for a summary of the docs, or llms-full.txt for the full context.
Skip to content

Getting Started

Galdera turns your historical data into an explainable forecast you can shape with your own assumptions. If you're new, this is the place to begin.

  • Quickstart — the end-to-end path in five steps: connect data → define what you track → run a baseline forecast → layer on assumptions → compare scenarios.
  • Workspace & Access — connect SSO and manage people, roles, and permissions.

Once you've run through the quickstart, the rest of this guide goes deeper:

  • Core Concepts — the vocabulary: measures, metrics, overlays, scenarios, and forecast versions.
  • Guides — step-by-step workflows for sources, overlays, scenarios, forecasts, and reports.
  • Using the App — navigating the UI, reading analytics, the canvas, and the in-app assistant.