Modul 8 von 13 · 📖 4 min Lesezeit · ⏱ 30 min gesamt

FI-DPA 09 Process Mining — Celonis und Disco (EN)

Inhaltsverzeichnis (6 Abschnitte)
  1. Concepts and Background
  2. Architecture Diagram
  3. Practical Steps
  4. Common Pitfalls
  5. Further Resources
  6. Knowledge Check

FI-DPA 09 Process Mining — Celonis and Disco

Process Mining enables the objective analysis of business processes based on event logs. In this module, you will learn how to use Celonis and Disco to gain valuable insights into process flows, identify weaknesses, and uncover optimization potential.

You will be empowered to build event logs, perform discovery analyses, implement conformance checks, and create performance analyses to make data-driven decisions for process improvements.

Concepts and Background

Event-Log
A structured dataset that captures the sequence of events in a process with timestamps, case IDs, and activity information. It forms the basis for every process mining analysis.
Discovery
Automated generation of process models from event logs to visualize actual process flows without prior knowledge and identify typical process paths.
Conformance Checking
Verification of the alignment between the actual process (as depicted in the event log) and the target model to uncover deviations, inefficiencies, and violations.
Performance Analysis
Evaluation of process metrics such as lead times, waiting times, and bottlenecks to identify constraints and quantitatively assess improvement potential.

Architecture Diagram

flowchart LR
  A[ERP/CRM Systems] --> B[Data Extraction]
  B --> C[ETL Process]
  C --> D[Event-Log Database]
  D --> E[Celonis Platform]
  D --> F[Disco Software]
  E --> G[Analysis & Visualization]
  F --> G

Practical Steps

  1. Identify and extract data sources. Extract relevant event data from your source systems such as SAP, Salesforce, or your own databases.
  2. Implement an ETL process for data preparation. Transform raw data into a consistent format with unique case IDs, activity names, and timestamps.
  3. Import Event-Log into Celonis or Disco. Use the software's import functions to upload the prepared dataset and validate the data structure.
  4. Perform Discovery Analysis. Conduct automatic process model generation to visualize actual process flows and identify typical paths.
  5. Perform Conformance Check against target process. Upload your target model and compare it with the actual process to quantify deviations.
  6. Analyze Performance Metrics. Examine lead times, waiting times, and resource utilization to identify bottlenecks and inefficiencies.
  7. Perform Root-Cause Analysis for critical deviations. Dive into specific process cases to understand the causes of deviations or delays.
  8. Derive and implement optimization measures. Develop data-driven measures for process improvement and monitor their effectiveness.

Common Pitfalls

Further Resources

Knowledge Check

Four questions for self-assessment. Click on each question to see the correct answer and explanation.

What is the primary function of Process Mining?
  • A) The manual design of business processes
  • B) The objective analysis of business processes based on event logs
  • C) The development of new software for process management
  • D) The creation of organizational charts

Correct Answer: B. Process Mining enables the objective analysis of business processes based on event logs to understand and optimize actual flows. Option A describes process design, Option C software development, and Option D organizational structure, but not the core function of Process Mining.

What is an Event-Log in the context of Process Mining?
  • A) A log of system errors and exceptions
  • B) A structured dataset that captures the sequence of events in a process with timestamps, case IDs, and activity information
  • C) A collection of user comments on process steps
  • D) A report on employee performance

Correct Answer: B. An Event-Log is a structured dataset that captures the sequence of events in a process with timestamps, case IDs, and activity information and forms the basis for every process mining analysis. Option A describes error logs, Option C user feedback, and Option D performance evaluations, but not the specific structure of an Event-Log.

What is the main goal of a Conformance Checking analysis?
  • A) The prediction of future process changes
  • B) The verification of the alignment between the actual process and the target model
  • C) The automation of process steps
  • D) The visualization of process flows without prior knowledge

Correct Answer: B. Conformance Checking verifies the alignment between the actual process (as depicted in the event log) and the target model to uncover deviations, inefficiencies, and violations. Option A describes trend analyses, Option C process automation, and Option D discovery analyses, but not the core of Conformance Checking.

Which of the following statements best describes the purpose of a Performance Analysis in Process Mining?
  • A) The identification of the most common proc