This glossary explains the key terms used in Zweigen. It helps you and your team use one shared language.
Organization
An organization is the shared workspace for all members. It combines data, dashboards, settings, and users in one place. Each organization is strictly separated from other organizations.
Account
An account is one user's personal access to Zweigen. It can belong to one or more organizations. Account-related settings and preferences are managed through the extended menu.
Workspace
The workspace is the central surface after sign-in. From here, you reach dashboards, data sources, and the organization's navigation.
Dashboard
A dashboard visualizes data from one or more data sources. You place widgets on a grid and configure their presentation individually. Dashboards can be shared with other users or restricted for specific roles.
Widget
A widget is one individual building block on the dashboard grid. Widgets can contain charts, tables, KPIs, or text. Size, position, and display are freely adjustable.
Metric
A metric is a calculated single value from your data, for example total revenue or conversion rate. Metrics are shown in widgets and can be defined through mappings.
In the dashboard context, Zweigen uses the term metric. In some data import and mapping contexts, the same value may also be described as a measure depending on the technical workflow.
Dimension
A dimension is a descriptive attribute of your data that you can group or filter by. Typical dimensions are regions, product categories, or time ranges.
Time Filter
A time filter limits the displayed data to a specific period. It can apply either to one widget or to the entire dashboard, depending on configuration.
Data Source
A data source contains the raw data stored in Zweigen for one connection. Each integration and each custom API connection creates its own data source. With manual CSV or XLSX upload, you can update an existing data source instead of creating a new one.
Integration
An integration is an automated connection to an external application. You set it up through OAuth authentication or an API key. After setup, Zweigen imports the data regularly and provides it as a data source.
Connector
A connector is the technical template for one specific integration, for example Google Analytics or Shopify. It defines which data can be fetched and how it is structured.
Custom API
Through a custom API, you connect your own systems directly with Zweigen. Zweigen loads the data according to a defined schema and provides it as a data source.
Mapping
A mapping links columns from your data source to fields in Zweigen. You define which column is treated as a date, which as a metric, and which as a dimension. Mappings are the basis for correct dashboard analysis.
Related topics
- Zweigen Overview - What Zweigen is and how it is structured
- Self-Service Data Management - How self-service BI works with clear roles
All Data. One system.
Contact
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