Learn process mining: data science in action

process mining
process mining - photo from pixabay

There are lots of methods in the school of business process management to help you with an introduction to process mining a data-driven way to build, understand and optimize your processes. Utilizing software to look at the employees in your company what they are doing, and with having this software the work that your employees did in company interpret to you in the form of processes.

Little more technical Process mining is a group of techniques which look at data from event records to see what people are doing. Then look at the steps of someone to complete a task, a process can be automatically created. By proceeding to collect this data over time you can start to see where inefficiencies lie with the process.

Three sections used in process mining

  1. Automated Business Process Discovery 
  2. Business Process Conformance Checking
  3. Performance Analysis

Automated Business Process Discovery is the technical term for what people generally refer to as process mining. In short, Automated Business Process Discovery is about tracking event records to find out what people are doing and then establishing a process around those actions. This is the distinct element of process mining and is very impressive useful for existing teams who want to transition over to business process management. 

Learn Process Mining: Data science in Action – Free Course

The course covers the three main types of process mining:

  1. The first type of process mining is the discovery
  2. The second type of process mining is conformance
  3. The third type of process mining is an enhancement

After taking this course you should:

  • Have a good understanding of Business Process Intelligence techniques (in particular process mining),
  • Understand the role of Big Data in today’s society,
  • Be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,
  • Be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools),
  • Be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools),
  • Be able to extend a process model with information extracted from the event log (e.g., show bottlenecks),
  • Have a good understanding of the data needed to start a process mining project,
  • Be able to characterize the questions that can be answered based on such event data,
  • Explain how process mining can also be used for operational support (prediction and recommendation), and
  • Be able to conduct process mining projects in a structured manner.

Syllabus – What you will learn from this course

  1. Introduction and Data Mining
  2. Process Models and Process Discovery
  3. Different Types of Process Models
  4. Process Discovery Techniques and Conformance Checking

Register to course free

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