Data Structure

Understand how Zweigen structures data so you get reliable and fast analysis later.

How Zweigen handles your data

Zweigen adapts to your data structure. You can store data in its existing format without rebuilding it first.

To make metrics and dimensions available in dashboards, custom data is assigned once in the mapping editor to the Zweigen schema. This happens one time and is stored for future imports.

Direct connections vs. custom data

Direct connections via OAuth

When you set up a data source through an OAuth direct connection, Zweigen performs the assignment automatically. The data is available for dashboards right away without manual mapping.

Custom data

For CSV and XLSX uploads and custom API connections, you assign columns once in the mapping editor. Zweigen detects time columns in common formats automatically and provides guidance for the mapping.

You do not need to assign every column. Partial mappings are possible, and unassigned data is still stored.

Scope and granularity

When setting up a data source, you define whether the dataset should be stored fully or only for a specific time range. You also define the granularity there, meaning whether data is aggregated daily, weekly, or monthly.

Data quality

Zweigen stores data in multiple layers. That makes it possible to make statements about the quality of imported data. Information about data quality is available in the Raw Data View for the relevant data source.

How to set up data

  1. Connect or upload - Through an OAuth direct connection, custom API, or CSV/XLSX upload in Data Sources.
  2. Assign - For custom data, assign metrics and dimensions once in the mapping editor.
  3. Build dashboards - Connected and assigned data is immediately available in dashboard widgets.