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Process Mining with Celonis

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Process Mining with Celonis, available at $79.99, has an average rating of 4.43, with 122 lectures, 3 quizzes, based on 1547 reviews, and has 10705 subscribers.

You will learn about Process mining The role of process mining in the broader context of business process management Applied process mining with Celonis Free Plan (Formely Celonis Snap) Hands-on practical experience with process mining use cases of various degrees of complexity This course is ideal for individuals who are This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are supervisors responsible for: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank; Logistic coordination and supply chain management. This course will radically transform the ability of students to discover, monitor and enhance these processes. People that work with systems such as Scientific management (Taylorism), Kanban, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management. Other types of students that will benefit from this course are: Individuals with a background in process mapping, flowcharting and business process modelling (BPM). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. Individuals curious about process mining. It is particularly useful for This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are supervisors responsible for: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank; Logistic coordination and supply chain management. This course will radically transform the ability of students to discover, monitor and enhance these processes. People that work with systems such as Scientific management (Taylorism), Kanban, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management. Other types of students that will benefit from this course are: Individuals with a background in process mapping, flowcharting and business process modelling (BPM). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. Individuals curious about process mining.

Enroll now: Process Mining with Celonis

Summary

Title: Process Mining with Celonis

Price: $79.99

Average Rating: 4.43

Number of Lectures: 122

Number of Quizzes: 3

Number of Published Lectures: 122

Number of Published Quizzes: 3

Number of Curriculum Items: 127

Number of Published Curriculum Objects: 127

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

  • Process mining
  • The role of process mining in the broader context of business process management
  • Applied process mining with Celonis Free Plan (Formely Celonis Snap)
  • Hands-on practical experience with process mining use cases of various degrees of complexity

Who Should Attend

  • This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are supervisors responsible for: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank; Logistic coordination and supply chain management. This course will radically transform the ability of students to discover, monitor and enhance these processes. People that work with systems such as Scientific management (Taylorism), Kanban, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management. Other types of students that will benefit from this course are: Individuals with a background in process mapping, flowcharting and business process modelling (BPM). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. Individuals curious about process mining.

Target Audiences

  • This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are supervisors responsible for: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank; Logistic coordination and supply chain management. This course will radically transform the ability of students to discover, monitor and enhance these processes. People that work with systems such as Scientific management (Taylorism), Kanban, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management. Other types of students that will benefit from this course are: Individuals with a background in process mapping, flowcharting and business process modelling (BPM). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. Individuals curious about process mining.

An important aspect for many organizations is the flow of work between different parts of the organization. Traditionally, experts would use business process modeling techniques to visualize how these processes should be. This is a very labor intensive exercise. Moreover, in practice, the actual process may be very different from what is drawn on paper. This gap can be filled by applying process mining. Process mining uses actual data to visualize what the process is, rather than what the process is thought to be.

Process mining is a relatively young research discipline that sits between computational intelligence and data mining on the one hand, and process modeling on the other hand. The idea of process mining is to discover, monitor and improve real processes by extracting knowledge from data readily available in an organization’s information systems. It is a tool to improve the design, redesign, control, and support of operational business processes.

In this course, students are introduced to the discipline of process mining using a healthy blend of theoretical knowledge and hands-on practice. The theoretical parts of this course are drawn from leading academic publications. The hands-on practice parts will be conducted in the leading process mining software application that is democratizing process mining for the masses, Celonis Free Plan (formely Celonis Snap).

Who this course is for:

This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are people advising organizations on:

  1. Assembly line industrial manufacturing;

  2. Coordinating patient journeys through a hospital;

  3. The flow of loan applications at a bank;

  4. Logistic coordination and supply chain management;

  5. Customer journeys.

This course will radically transform the ability of students to discover, monitor and enhance these processes

In addition to this, people that work with systems such as Scientific management (Taylorism), Kanban, Kaizen, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management.

Other types of students that will benefit from this course are:

  1. Individuals with a background in business process management, process mapping, flowcharting and business process modelling (BPM / BPMN).

  2. Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations.

  3. Individuals responsible for creating a Digital Twin of an organization and/or involved in Robotic Process Automation (RPA) projects (such as UiPath), that need to have a clear grasp on the ongoing processes in an organization in order to be able to prioritize competing process automation projects.

  4. Individuals in charge of process auditing.

  5. Individuals curious about process mining.

What this course is NOT about:

– This course is intended to be hands-on and practical. Therefore, only limited attention will paid to the underlying (alternative) theories of process modelling and mining. The focus will be on applied process mining with Celonis Free Plan (formerly Celonis Snap).

– Although process mining overlaps with the domain of business process modeling & notation (BPMN), this course is not about BPMN. BPMN is only elaborated on in the context that is relevant for process mining, such as conformance checking.

– Although process mining overlaps with the domain of data science, this course is not about data science. Data science is only elaborated on in the context that is relevant for process mining.

– This course will not cover how to integrate Celonis with an organization’s information system and/or data warehouse as part of its information architecture.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Process mining defined

Lecture 2: Introduction to this course

Lecture 3: Meet the instructor

Lecture 4: The history of process mining

Lecture 5: Why learn process mining

Lecture 6: ProM, the mother of all process mining tools

Chapter 2: Theory of process mining

Lecture 1: Relevant terminology

Lecture 2: The event log (the input for process mining)

Lecture 3: Process mining in the Business Process Management (BPM) life-cycle

Lecture 4: The three main types of process mining

Lecture 5: The input and output of the different types of process mining

Lecture 6: Process mining from an organizational perspective

Chapter 3: Levels of abstraction of a process map

Lecture 1: Introduction to levels of abstraction process maps

Lecture 2: The perfect process map

Lecture 3: Different levels of a process map

Lecture 4: Lessons borrowed from cartography

Chapter 4: Get all relevant datasets and resources here

Lecture 1: Get all relevant datasets and resources here

Lecture 2: Get more resources and practice datasets here

Chapter 5: Getting started with Celonis Free Plan (Formely Celonis Snap)

Lecture 1: Why Celonis Free Plan (Formely Celonis Snap)

Lecture 2: Create a Celonis Free Plan account

Lecture 3: Multi-factor authentication (MFA) Token in Celonis

Lecture 4: Explore the dataset before ingesting into Celonis

Lecture 5: Upload the event log as a CSV file into Celonis and explore the interface

Chapter 6: Practice use case for beginners: Ordering a Pizza

Lecture 1: Create an event log view

Lecture 2: Levels of abstraction part 1: activities

Lecture 3: Levels of abstraction part 2: paths

Lecture 4: Optional: Slider buttons for levels of abstraction

Lecture 5: Metric selection

Lecture 6: Filtering activities part 1: The simple filter (hiding activities)

Lecture 7: Filtering activities part 2: The thorough filter

Lecture 8: Undo filters

Lecture 9: Using the AND/OR (any/all) filter in Celonis (theory)

Lecture 10: Using the AND/OR (any/all) filter in Celonis (practice)

Lecture 11: Adding value through actionable insights

Chapter 7: Conformance checking

Lecture 1: Introduction to conformance checking

Lecture 2: The three different options for introducing a BPMN model in Celonis

Lecture 3: Upload the BPMN model into Celonis

Lecture 4: Conformance checking in Celonis

Lecture 5: Exporting the process map into a BPMN file

Lecture 6: A note on exporting BPMN files with Celonis

Chapter 8: Obtaining actionable insights with different types of miners

Lecture 1: Using the Business Miner to analyze your process

Lecture 2: Deploying the inductive miner in Celonis

Lecture 3: Obtaining actionable insights with the inductive miner

Lecture 4: The Social Miner (analyze process users)

Chapter 9: Custom calculated metrics (Key Performance Indicators)

Lecture 1: Introduction to custom calculated metrics

Lecture 2: Calculating the percentage of activities (Theory)

Lecture 3: PQL Formulas available as text

Lecture 4: Get the Process Query Language (PQL) statements here

Lecture 5: Calculating the percentage of activities (Practice)

Lecture 6: Selecting columns to add to the query builder

Lecture 7: Calculating the percentage of cases (Theory)

Lecture 8: Calculating the percentage of cases (Practice)

Lecture 9: Creating custom metrics for paths/ connections

Lecture 10: Improved analytical insights due to custom metrics

Lecture 11: Creating custom KPI's using the visual PQL editor

Lecture 12: Why PQL is superior for process-oriented data questions

Lecture 13: Visualize the flow of costs in the process map

Chapter 10: Additional features in Celonis

Lecture 1: Introduction to this section

Lecture 2: Introduction to activity grouping

Lecture 3: Using the activity grouping function

Lecture 4: Grouping and ungrouping activities in the process map

Lecture 5: Identifying bottlenecks and constraints with the animation feature

Lecture 6: Coloring activities

Lecture 7: Celonis as a Business Intelligence Dashboard

Lecture 8: Celonis in Power BI

Chapter 11: Successfully managing a process mining project

Lecture 1: Introduction to successfully managing a process mining project

Lecture 2: The four types of different process mining projects

Lecture 3: The four types of different process mining projects visualized

Lecture 4: The relevant stakeholders

Lecture 5: Focus on the business value

Lecture 6: Define and narrow the scope

Lecture 7: Focus on solving known problems first

Lecture 8: Conclusion of successfully managing a process mining project

Chapter 12: Practice use case for intermediates: Process mining with healthcare claims data

Lecture 1: Healthcare process case description

Lecture 2: Introduction to process mining with healthcare claims data

Lecture 3: Explore the healthcare claims dataset

Lecture 4: Discover patient pathways using process mining (part 1)

Lecture 5: Discover patient pathways using process mining (part 2)

Lecture 6: Isolate a sub process by focussing on the sub process spider activity

Lecture 7: Introduction to specifying a sequence order

Lecture 8: Theory of sequence order when dealing with identical timestamps

Lecture 9: A note about specifying a sequence order

Lecture 10: Manipulating the raw data to specify a sequence order (part 1)

Lecture 11: Manipulating the raw data to specify a sequence order (part 2)

Lecture 12: A note about concatenation

Instructors

Rating Distribution

  • 1 stars: 19 votes
  • 2 stars: 32 votes
  • 3 stars: 150 votes
  • 4 stars: 568 votes
  • 5 stars: 778 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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