Process Mining with Celonis
What you’ll 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
Requirements
Students will need a computer with access to the internet not only to follow the course, but also because Celonis Free Plan (Formely Celonis Snap) is a cloud-based application. Some familiarity with working with structured data is required, as process mining often requires a degree of data transformation before ingesting the data into the process mining application.
Description
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: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank;Logistic coordination and supply chain management; Customer journeys.This course will radically transform the ability of students to discover, monitor and enhance these processesIn 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: Individuals with a background in business process management, process mapping, flowcharting and business process modelling (BPM / BPMN). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. 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.Individuals in charge of process auditing.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.
Overview
Section 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
Section 2: Theory of process mining
Lecture 7 Relevant terminology
Lecture 8 The event log (the input for process mining)
Lecture 9 Process mining in the Business Process Management (BPM) life-cycle
Lecture 10 The three main types of process mining
Lecture 11 The input and output of the different types of process mining
Lecture 12 Process mining from an organizational perspective
Section 3: Levels of abstraction of a process map
Lecture 13 Introduction to levels of abstraction process maps
Lecture 14 The perfect process map
Lecture 15 Different levels of a process map
Lecture 16 Lessons borrowed from cartography
Section 4: Get all relevant datasets and resources here
Lecture 17 Get all relevant datasets and resources here
Lecture 18 Get more resources and practice datasets here
Section 5: Getting started with Celonis Free Plan (Formely Celonis Snap)
Lecture 19 Why Celonis Free Plan (Formely Celonis Snap)
Lecture 20 Create a Celonis Free Plan account
Lecture 21 Multi-factor authentication (MFA) Token in Celonis
Lecture 22 Explore the dataset before ingesting into Celonis
Lecture 23 Upload the event log as a CSV file into Celonis
Lecture 24 Explore the interface
Lecture 25 Maximizing the dashboard
Lecture 26 Bring to front
Section 6: Practice use case for beginners: Ordering a Pizza
Lecture 27 Levels of abstraction part 1: activities
Lecture 28 Levels of abstraction part 2: paths
Lecture 29 Optional: Slider buttons for levels of abstraction
Lecture 30 Metric selection
Lecture 31 Filtering activities part 1: The simple filter (hiding activities)
Lecture 32 Filtering activities part 2: The thorough filter
Lecture 33 Undo filters
Lecture 34 Using the AND/OR (any/all) filter in Celonis (theory)
Lecture 35 Using the AND/OR (any/all) filter in Celonis (practice)
Lecture 36 Adding value through actionable insights
Section 7: Assignment 1. Analyzing the patient flow from a small healthcare clinic
Section 8: Conformance checking
Lecture 37 Introduction to conformance checking
Lecture 38 The three different options for introducing a BPMN model in Celonis
Lecture 39 Upload the BPMN model into Celonis
Lecture 40 Conformance checking in Celonis
Lecture 41 Exporting the process map into a BPMN file
Lecture 42 A note on exporting BPMN files with Celonis
Section 9: Custom calculated metrics (Key Performance Indicators)
Lecture 43 Introduction to custom calculated metrics
Lecture 44 Calculating the percentage of activities (Theory)
Lecture 45 Get the Process Query Language (PQL) statements here
Lecture 46 Calculating the percentage of activities (Practice)
Lecture 47 Selecting columns to add to the query builder
Lecture 48 Calculating the percentage of cases (Theory)
Lecture 49 Calculating the percentage of cases (Practice)
Lecture 50 Creating custom metrics for paths/ connections
Lecture 51 Improved analytical insights due to custom metrics
Lecture 52 Creating custom KPI’s using the visual PQL editor
Lecture 53 Why PQL is superior for process-oriented data questions
Lecture 54 Visualize the flow of costs in the process map
Section 10: Additional features in Celonis
Lecture 55 Introduction to this section
Lecture 56 Introduction to activity grouping
Lecture 57 Using the activity grouping function
Lecture 58 Grouping and ungrouping activities in the process map
Lecture 59 Identifying bottlenecks and constraints with the animation feature
Lecture 60 Coloring activities
Lecture 61 Celonis as a Business Intelligence Dashboard
Lecture 62 Celonis in Power BI
Section 11: Successfully managing a process mining project
Lecture 63 Introduction to successfully managing a process mining project
Lecture 64 The four types of different process mining projects
Lecture 65 The four types of different process mining projects visualized
Lecture 66 The relevant stakeholders
Lecture 67 Focus on the business value
Lecture 68 Define and narrow the scope
Lecture 69 Focus on solving known problems first
Lecture 70 Conclusion of successfully managing a process mining project
Section 12: Practice use case for intermediates: Process mining with healthcare claims data
Lecture 71 Healthcare process case description
Lecture 72 Introduction to process mining with healthcare claims data
Lecture 73 Explore the healthcare claims dataset
Lecture 74 Configure the dataset for process mining
Lecture 75 A note about labeling data types when importing
Lecture 76 Exploring the OBGYN process map part 1
Lecture 77 Exploring the OBGYN process map part 2
Lecture 78 Discover patient pathways using process mining (part 1)
Lecture 79 Discover patient pathways using process mining (part 2)
Lecture 80 Isolate a sub process by focussing on the sub process spider activity
Lecture 81 Introduction to specifying a sequence order
Lecture 82 Theory of sequence order when dealing with identical timestamps
Lecture 83 A note about specifying a sequence order
Lecture 84 Manipulating the raw data to specify a sequence order (part 1)
Lecture 85 Manipulating the raw data to specify a sequence order (part 2)
Lecture 86 A note about concatenation
Lecture 87 Confirm the correct sequence in a new process map
Lecture 88 Detect anomalies by comparing the processes of different providers
Section 13: Assignment 2: Visualize the flow of costs in the process map
Section 14: The Future of Process Mining
Lecture 89 Why Celonis Free Plan is offered for free (introduction)
Lecture 90 Where Celonis currently stands in the evolution of process mining
Lecture 91 Current developments in process mining
Lecture 92 The Future of Process Mining
Lecture 93 From backward-looking to forward-looking process mining
Lecture 94 From insights to actions
Lecture 95 From isolated processes to collections of processes (Digital Twin)
Lecture 96 The Celonis Execution Management System (EMS)
Lecture 97 Enabling complex coordination through process mining (insights by Peter Thiel)
Section 15: Conclusion
Lecture 98 Final words
Lecture 99 Bonus lecture: Follow up course ‘Scaling Process Mining with Celonis’
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.
Course Information:
Udemy | English | 4h 30m | 1.96 GB
Created by: Dennis Arrindell
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