Data Management
All analysis in RootCause.ai starts with data. This section covers how to bring data into the platform and what happens to it once it arrives.
Getting data in
Upload files (CSV, Parquet, Excel, JSON) 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.
Preparing for analysis
Once your data is in the platform, two further steps prepare it for causal analysis:
Build 360 Data Table — join, filter, and transform datasets into the analysis-ready view your digital twin will use
Build Ontology — map column names across datasets to shared concepts so RootCause.ai understands your data structure
These are Steps 2 and 3 of the seven-step workflow.
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