Skip to content
English
  • There are no suggestions because the search field is empty.

How to upload data in Mavim Process Mining

This article explains how to upload event log files to a Process Hub in Mavim Process Mining, configure mandatory columns, and transform data for analysis.

Upload data in Mavim Process Mining

In Mavim Process Mining you can upload event logs to perform process mining analysis. In the Data section of a Process Hub you have an overview of the available datasets.

Before you start

Make sure you have:

  • The Developer license assigned in Mavim Connect Center
  • A role with Manage Dataset permissions for a Process Hub

Steps to upload data

1 Navigate to Data in a Process Hub

  1. Open a Process Hub
  2. Navigate to the Data page from the side nav.

2 Select Upload

  1. Open the context menu on the dataset
  2. Select Upload

3 Select the event log file

  1. Select the file you want to upload
  2. A preview of the selected file is shown

3 Configure the mandatory column

  1. You need to configure case id, activity and timestamp
  2. You can configure additional attributes, like resource, timestamp end, automatic, activity cost and sort key.
  3. You can configure additional attributes like case attribute and event attribute.

A case attribute is an additional data attribute that gives context to a case object, like vendor, product category, delivery date or payment term. Please note that a case attribute can only contain 1 unique value per case id.

An event attribute is an additional data attribute that gives context to an event object, like location, team, department.

  1. You can also ignore a column.
  2. Click Next to start the upload and transformation.

4 Upload and transform your data

  1. Upload and transformation progress is shown.
  2. A status is shown when the event log transformation is completed successfully.

5 You have successfully uploaded data

  1. In the Dataset overview the Last refresh data will show the last date when a successful event log was uploaded and transformed.
  2. Next step is to create or open a report to analyze your results.