Process Mining Sentimental Impact Enrichment
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Solution Overview
Problem
Current process management technologies fail to capture and utilize sentimental impacts associated with process mining, limiting their ability to identify automation opportunities and improve process efficiency.
Innovation Solution
A method that involves identifying a process, generating a list of relevant individuals, requesting access to their collaborative communications, generating scores based on these communications, and updating the process with these scores to enrich it with contextual data, thereby enabling better automation opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If process management focuses only on structural and operational data, then process analysis is simpler, but sentimental impacts and user satisfaction are not captured
Solution Approach 1:
The patent merges process mining with sentiment analysis by integrating collaborative communication data (emails, chats, documents) with process event logs. This combination allows the system to capture both operational data and sentimental impacts, resolving the contradiction between information completeness and system complexity through unified data processing.
Solution Approach 2:
The system performs multiple functions simultaneously: it extracts process events from logs, analyzes collaborative communications for sentiment, scores process activities, and provides recommendations. This multi-functionality captures sentimental impacts while managing complexity through an integrated framework that handles diverse data types and analysis tasks in one system.
2Productivity
If process mining analyzes only objective process data, then analysis is more straightforward, but automation opportunities are missed
Solution Approach 1:
The system uses sentiment scores from collaborative communications as feedback to identify automation opportunities. By analyzing user satisfaction levels and sentiment trends, the system detects which process activities benefit most from automation, transforming subjective sentimental data into actionable insights that improve productivity while managing measurement complexity through structured scoring.
Solution Approach 2:
The patent replaces manual assessment of automation opportunities with automated sentiment analysis using natural language processing. Instead of manually evaluating which processes should be automated, the system automatically analyzes collaborative communications, generates sentiment scores, and identifies automation candidates, thereby improving productivity while managing the complexity of measuring sentimental factors through computational methods.
3Reliability
If process management implements comprehensive sentiment analysis, then user satisfaction is captured, but data processing requirements increase
Solution Approach 1:
The system extracts only the relevant sentimental information needed for process improvement from large volumes of collaborative communication data. By focusing on extracting sentiment scores related to specific process activities rather than analyzing all communication data comprehensively, the system captures user satisfaction while reducing data processing requirements through targeted extraction of meaningful signals.
Solution Approach 2:
The patent applies partial action by analyzing only the portion of collaborative communications that directly relates to process activities. Instead of processing all communications equally, the system selectively analyzes messages associated with specific process events, thereby capturing sufficient user satisfaction data for reliable process improvement while minimizing data processing resource consumption through focused analysis.
Data Source
AI summary
A method, computer system, and a computer program product for process mining and optimization is provided. The present invention may include identifying a process to be analyzed, wherein the process is comprised of one or more activities. The present invention my include generating a list of relevant individuals corresponding to the process and requesting access to collaborative communications between one or more individuals from the list of relevant individuals. The present invention may include generating one or more scores based on the collaborative communications between the one or more individuals. The present invention may include updating the process within the user interface using the one or more scores to enrich the process with additional contextual data.