What is process mining Fundamentals course for students?

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What is process mining Fundamentals course for students?

Process mining is a set of techniques used for obtaining knowledge of and extracting insights from processes by the means of analyzing the event data, generated during the execution of the process. The end goal of process mining is to discover, model, monitor, and optimize the underlying processes.

What is process mining course?

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.

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Is process mining related to data science?

There is a discipline that creates a real bridge between Data Science and Process Science: Process Mining. Its principle consists in discovering the company’s processes thanks to the traces left by their execution in the information system.

When would it be appropriate to apply process mining?

Process mining has been used effectively to analyze the current state of business process performance, identify areas of improvement, and assess the results of process improvements.

What are process discovery tools?

Process Discovery tools are machine learning-based tools that help organizations identify business processes, record all possible variations using machine learning algorithms and make recommendations for Automation.

What have you learned about data mining?

Data mining is usually associated with the analysis of the large data sets present in the fields of big data, machine learning and artificial intelligence. The process looks for patterns, anomalies and associations in the data with the goal of extracting value.

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What did you learn about data mining?

Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.

Why is process mining needed?

Process mining is a tool for modern business process management (BPM). It lives at the intersection of data science and management science. Process mining is comprised of a group of strategies with a common goal — to glean process insights within information systems via units called event logs.

Why do we need process mining?

Building your technology roadmap and taking the business from visibility to transformation is simplified by process mining. End-to-end visibility of how information and work flows through your business makes it easy to pinpoint where and how to make necessary improvements to uncover new margin and revenue potential.

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How do you discover a process?

Process discovery follows the steps below:

  1. Extract data: Event logs and performance metrics are collected from the company’s enterprise and departmental software systems.
  2. Process and map events: The collected data is analyzed and are mapped for each case from the event logs.

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