Data in ProcessMind

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Welcome to Our Documentation Center

Guides, resources, and references to help you become an expert. ProcessMind helps you turn messy workflows into smooth, efficient operations. From your first model to organization-wide process intelligence, this documentation gives you the steps, tips, and answers you need.

New here? Pick your track: Process Foundation to document and standardize, Process Architecture to connect and govern, or Process Intelligence to analyze and optimize with data.

Welcome to Our Documentation Center

Every analysis in ProcessMind starts with a dataset. This section covers the full lifecycle of a dataset inside the app: upload a file, map its columns to the three required fields, refine attributes and activities, check the quality score, and keep the data fresh as your process changes.

If you have never uploaded a file, the fastest way in is How to Upload Your Dataset — three columns are enough to start (a case ID, an activity, and a timestamp). If you are still deciding where your data should come from, read Process Mining Data first.

The dataset lifecycle

  1. Upload — import a CSV, Excel, XES, Parquet, or JSONL file: Configuring Your Dataset.
  2. Configure — map columns to the expected fields, then refine Dataset Attributes and Dataset Activities; preview everything in Dataset Data.
  3. Validate — read the Data Quality badge and panel before you trust the numbers.
  4. Keep it fresh — append new rows with Incremental Data Loading instead of re-uploading.

AI helps along the way: AI Data Recommendations flags mapping issues and anomalies automatically, and Dataset Attributes can derive new columns from existing ones as calculated attributes (see the expression language).

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