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Real-World Process Mining Projects and Challenges – CR000384

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Subject – Process Mining Case Studies

Industry – Process Mining

Introduction:

Welcome to the eLearning course on Real-World Process Mining Projects and Challenges, brought to you by T24Global Company. In this course, we will explore the field of Process Mining in the context of M.Tech in Process Mining.

Process Mining is a powerful analytical technique that aims to discover, monitor, and improve real-world business processes by analyzing event logs generated by information systems. It provides valuable insights into how processes are executed, identifies bottlenecks and inefficiencies, and enables organizations to make data-driven decisions for process optimization.

This course is specifically designed for students pursuing an M.Tech in Process Mining, who are eager to gain practical knowledge and hands-on experience in applying Process Mining techniques to real-world scenarios. The course will equip you with the necessary skills to tackle the challenges faced in implementing Process Mining projects and help you become a proficient Process Mining professional.

Throughout this course, we will delve into various aspects of Process Mining projects, starting from the basics and gradually progressing to more advanced topics. We will cover a wide range of challenges that organizations often encounter when implementing Process Mining initiatives, and provide you with practical strategies to overcome these obstacles.

Some of the key topics we will explore include:

1. Introduction to Process Mining: We will begin by understanding the fundamental concepts of Process Mining, its benefits, and its role in process improvement.

2. Data Preparation: Process Mining heavily relies on event logs, and in this module, you will learn how to extract, clean, and transform raw data into a suitable format for analysis.

3. Process Discovery: This module will focus on techniques for automatically discovering process models from event logs, enabling you to understand how processes are executed in reality.

4. Conformance Checking: Here, we will explore methods to compare discovered process models with the actual execution data, identifying deviations and potential compliance issues.

5. Performance Analysis: This module will cover techniques for analyzing process performance, such as identifying bottlenecks, cycle times, and resource utilization.

6. Process Enhancement: In this module, we will discuss strategies for process optimization, including redesigning processes to improve efficiency and effectiveness.

Throughout the course, you will have the opportunity to work on real-world case studies and hands-on exercises using industry-standard Process Mining tools. This practical approach will ensure that you gain the necessary skills and experience to excel in the field of Process Mining.

By the end of this course, you will have a comprehensive understanding of Process Mining projects and the challenges associated with them. You will be equipped with the knowledge and skills to tackle real-world process optimization problems, making you a valuable asset in any organization.

So, get ready to embark on an exciting journey into the world of Process Mining. Let’s dive in and explore the vast potential of this field together!

NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/real-world-process-mining-projects-and-challenges/ (copy URL)

 

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Lessons Included

 

LS004568 – Real-World Process Mining Projects and Challenges – Challenges & Learnings

LS003522 – Process Mining in Government and Public Services

LS002476 – Industry-Specific Applications of Process Mining

LS001430 – Process Mining for Business Improvement

LS000384 – Success Stories and Best Practices

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