Automated Process Mining via Milestone and Blocker Graphs
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Solution Overview
Problem
Current process mining techniques require significant time and expertise, often focusing on small parts of the process rather than providing a holistic overview of the complete process landscape, and are costly due to the need for domain experts.
Innovation Solution
A software system that rapidly generates process insights across the entire process landscape by identifying standardized milestones and blockers, transforming these insights into a process mining result, such as a process graph, in under an hour with minimal domain expert interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional process mining techniques are used, then detailed process analysis can be performed, but it requires significant time (weeks) and costly domain expert expertise
Solution Approach 1:
The system automatically generates process insights by querying a data store for document data and analyzing it to identify milestones and blockers without requiring manual configuration or domain expert intervention. The automated approach performs process mining, generates process graphs, and provides insights within minutes rather than weeks.
Solution Approach 2:
The system changes the approach from manual, expert-driven process mining to automated parameter-based analysis. By using predefined parameters for milestones and blockers and automatically querying data stores, the system transforms the time-consuming manual process into a rapid automated analysis that completes in minutes.
2Loss of information
If traditional process mining is performed, then comprehensive process insights can be obtained, but it requires costly domain expert expertise
Solution Approach 1:
The system performs process mining automatically by querying data stores and analyzing document data without requiring domain expert involvement. The automated analysis generates comprehensive process insights, process graphs, and recommendations independently, eliminating the need for expensive expert consultations while maintaining insight completeness.
Solution Approach 2:
The system provides a universal solution that can analyze various business processes across different organizations without requiring domain-specific expertise. The standardized approach to identifying milestones and blockers makes the system applicable to multiple process types while maintaining consistent, comprehensive insights.
3Measurement precision
If process mining focuses on specific process parts, then detailed analysis of those parts is achieved, but holistic overview of the complete process landscape is lost
Solution Approach 1:
The system segments the process analysis into standardized milestones and blockers that can be independently identified and analyzed. This segmentation allows the system to maintain detailed analysis of specific process parts while simultaneously providing a holistic overview by connecting all segments into a comprehensive process graph that represents the complete process landscape.
Solution Approach 2:
The system adds a dimensional approach by organizing process insights along multiple dimensions: individual milestones, blockers, process graphs, and holistic process landscapes. This dimensional structure enables simultaneous detailed analysis of specific components and comprehensive overview of the entire process ecosystem.
Data Source
AI summary
The example embodiments are directed to systems and methods which can generate a process graph with important process insights in a manner that is significantly faster and more scalable than related art approaches and answers questions most customers have through the use of standardization. In one example, a method may include querying a data store for document data of a process, identifying a plurality of milestones that occur within the process and blockers that prevent at least one of the milestones from completing based on the document data, generating a graph model of the process based on a predefined template, wherein the graph model comprises a plurality of nodes corresponding to the plurality of milestones and edges between the plurality of nodes based on the blockers, and displaying the graph model of the process via a user interface.