Process Mining

Course Code

processmining

Duration

21 hours (usually 3 days including breaks)

Requirements

  • A basic understanding of logic, sets, and statistics
  • Basic computer skills

Overview

Process mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency. 

Format of the course
    The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.

Audience
    Data science professionals
    Anyone interested in understanding and applying process modeling and data mining

Course Outline

Overview
    Discovering, analyzing and re-thinking your processes

Types of process mining
    Discovery, conformance and enhancement

Process mining workflow
    From log data analysis to response and action

Other tools for process mining
    PMLAB, Apromoro
    Commercial offerings

Closing remarks

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £4350

Private Remote

From £3900 (95)

Public Classroom

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Course Discounts

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