Configuring Your Dataset

Manual for Dataset Upload and Configuration Screen

Once your dataset is fully uploaded, you will see the Dataset Screen. Here, you can configure how your data will be interpreted for Process Mining analysis. This screen is divided into several key sections that allow you to manage the dataset, assign attributes to data columns, and view file properties.

1. Display Name

Located in the top-left corner of the screen, the Display Name field allows you to:

• Edit the name of the dataset: You can change the display name to something more meaningful that reflects the content of the dataset (e.g., “Customer Orders Data” or “Incident Reports”).

2. Upload Dataset

In the center, you will find the Upload Dataset area where you can:

• Drag and drop a file to upload it.
• Alternatively, you can click inside the box to browse and select a file from your computer.
• Once a file is uploaded, this area will display the uploaded file’s details.

3. File Properties

To the right, under the Properties panel, you will see details about the uploaded file, including:

• Filename: The name of the uploaded file (e.g., P2P event log.csv).
• Uploaded at: The exact date and time when the file was uploaded.
• File size: The size of the dataset file in MB (e.g., 7.89Mb). The (Info) icon will provide additional details about the file usage in the system.
• Rows: The number of rows or entries in the dataset (e.g., 50,000 rows).
• Last modified: The last time the file was modified before being uploaded (e.g., 28 Feb 2024).

This section provides essential details to verify that the correct file has been uploaded.

4. Tabs for Configuration

Under the dataset name and upload area, there is a tabbed navigation bar with the following tabs:

• Process Mining (currently active)
• Attributes
• Activities
• Data

Each tab allows you to configure different aspects of your dataset. We’ll focus on the Process Mining tab in this section.

5. Process Mining Tabs

The Process Mining tab allows you to map your datasets’ columns to the required and optional fields needed for process mining. This ensures the tool knows how to interpret your data for analysis.

Required Fields

1. Case ID:

   • This field represents the unique identifier for each process instance (or “case”) in your dataset.
   • Use the dropdown to select the column that corresponds to the Case ID (this column is mandatory for analysis).

2. Activity:

   • This field indicates the specific activity or event being analyzed (e.g., “Order Created” or “Payment Processed”).
   • Select the appropriate column from the dataset (e.g., “activity_due”) to represent activities in the process.

3. End Time:

   • The timestamp that represents when the activity or event occurred.
   • Select the column that corresponds to the end time of the event (e.g., “system_created_on”).

Optional Fields

1. Start Time:

   • Represents the time when the activity started.
   • If your dataset includes start times, use the dropdown to select the appropriate column.

2. User:

   • The user or entity that performed the activity (e.g., an employee, system, or department).
   • If applicable, choose the column that contains this information.

3. Cost:

   • Represents the cost associated with each activity or event.
   • If your dataset tracks costs, you can map the column that contains cost data.

4. CO2:

   • The CO2 footprint of each activity (if available).
   • Select the column that holds this data to track environmental impact.

6. Optional Configurations in Other Tabs

After configuring the required and optional fields under the Process Mining tab, you can explore the following tabs for additional setup:

• Attributes: Customize and assign specific attributes to your dataset.
• Activities: Configure activity-specific settings for better analysis of workflows.
• Data: View or clean your data before analysis.

Final Steps

• Review your selections to ensure that the correct columns are mapped to the appropriate fields.
• Once everything is mapped correctly, you can proceed with the Process Mining analysis based on the data you have configured.

By following these steps, you can ensure that your dataset is correctly set up for analysis, allowing you to gain valuable insights from your process mining activities in ProcessMind.