Practical application of process mining in PowerPoint

Process mining is suitable for well-structured, fully digital processes that can be read by the IT system. Target and actual processes can be objectively compared, but manual tasks are not taken into account.

If there are deviations from the actual process, no changes can be made via the system. In operational process management, process mining can be used during the "analyze processes" and "measure processes" steps. The iterative principle is well-suited for using process mining, as this ensures the dynamic adaptation of processes to the respective business needs. These PowerPoint templates provide you with an overview to get started with process mining, including a definition, functionality, application possibilities, advantages and challenges, a distinction from related methods, templates for presenting your own process mining results, and a tool overview.

Process Mining: Individual Analysis

To systematically analyze and evaluate business processes, all relevant transaction data is recorded in a log file. The specific data to be recorded can be defined individually. Examples include the exact user path, the total processing time, or the time spent on specific activities.

Transaction data collection is automated, and the appropriate process mining software is selected for your needs to analyze the data sets. Use this slide set to ask yourself the right questions when choosing a provider. An overview of the tools and a comparison table template provide you with a comprehensive and clear basis for your decision-making.

With the Process Mining Set for PowerPoint…

• Teach the fundamentals of process mining.
• Provide an overview of the diverse possibilities and potential of process mining.
• Get a comprehensive overview of process mining programs and providers.

This PowerPoint template contains:

• Quote
• definition
• How it works: Process mining steps
• Process representation: Petri net, fuzzy model, UML activity program, EPC process, BPMN process, social networks
• Application: Guiding questions and steps for process optimization, ESOAR method, optimization potential, identification of bottlenecks
• Benefits/Challenges
• Related methods: Data and process management, business intelligence, data mining, adaptive case management, business process management

Complex Event Processing

• Templates: Process analysis dashboard, icons, sample business process animation
• Process mining tools: selection questions, market assessment, tool overview, comparison table"