Dynamic Question Answer Framework for Process Mining
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Solution Overview
Problem
Traditional process mining tools require technical skills to analyze data, limiting their adoption and slowing down data-driven decision-making in organizations due to the complexity and cognitive challenges they pose for users without such skills.
Innovation Solution
A computer-implemented method enabling coding-free analysis of recorded process data through a user interface that allows users to select verbal approaches, which are executed as commands to generate analysis results, with recommended follow-up approaches and visualization, reducing the need for technical expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional process mining tools are used, then analysis capability is provided, but technical skills are required which limits user adoption
Solution Approach 1:
The patent introduces an intermediary layer between the user and the complex process mining engine. This intermediary translates natural language questions into execution commands that the mining engine can process, shielding users from technical complexity while maintaining full analysis capability. The system acts as a mediator that converts simple verbal queries into sophisticated data mining operations.
Solution Approach 2:
The patent replaces the mechanical system of manual data preparation and technical analysis with an automated natural language processing system. Instead of requiring users to manually configure tools, prepare data, and execute complex queries, the system substitutes these mechanical operations with automated language-based interactions that trigger the same analytical processes.
2Productivity
If traditional process mining tools are used, then data analysis is performed, but time is lost due to training requirements
Solution Approach 1:
The patent enables business users to perform process mining analysis independently without requiring external technical support or training. The system provides self-service capabilities where users can directly formulate questions in natural language and receive analysis results, eliminating the need for data engineers or analysts to mediate the process and removing training requirements entirely.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the analysis framework, data structures, and execution commands in advance. This preparation work is done beforehand so that when users submit questions, the system can immediately execute pre-prepared analysis routines without requiring users to spend time on data preparation or tool configuration.
3Loss of information
If traditional process mining tools are used, then analysis results are generated, but cognitive challenge remains high for untrained users
Solution Approach 1:
The patent changes the parameter of interaction from complex technical parameters to simple natural language parameters. Instead of requiring users to understand data structures, query languages, and analysis methodologies, the system accepts questions in everyday language and automatically translates them into the appropriate technical parameters for execution, dramatically reducing cognitive challenge while maintaining full insight extraction capability.
Data Source
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AI summary
The present invention relates to a computer-implemented method enabling a coding-free analysis of process data. Accordingly, a dynamic question and answer framework is provided according to which a user may select specific process mining questions and automatically receive related answers based on the attached data model. The answers are generated by querying the data model using query statements that are associated to the selected process mining question.