Data Management

All analysis in RootCause starts with data. This section covers how to bring data into the platform and what happens to it once it arrives.

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Getting data in

Selecting Data

Upload files — tabular formats (CSV, TSV, Parquet, Excel, ODS, JSON) as well as documents and media (see File Uploads for the full list) — or connect to external databases and APIs. File uploads are instant; connected sources stay in sync automatically.

For step-by-step connector setup, see Data Connectors.

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Preparing for analysis

Once your data is in the platform, two further steps prepare it for causal analysis:

• Build Ontology — map column names across datasets to shared concepts so RootCause understands your data structure

• Build 360 Table — join, filter, and transform datasets into the analysis-ready view your digital twin will use

These are Steps 2 and 3 of the seven-step workflow.