User Profiling via Communication and Behavior Data Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing business process monitoring systems fail to consider human actions and communication data, such as textual communications and user behavior patterns, when creating user profiles for both internal and external users, limiting their ability to provide comprehensive user profiling for generic and domain-specific business processes.
Innovation Solution
A computer-implemented user profiling system that captures communication data and user behavior information from business processes, using a human communication retrieval component and profile analysis engine to update user profiles based on textual communications and behavior patterns, integrating with business process management systems to monitor and analyze human interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional business process monitoring approaches focus on monitoring execution details and identifying bottlenecks, then process execution monitoring capability is improved, but user behavior and communication analysis capability deteriorates
Solution Approach 1:
The monitoring system is divided into separate functional components: one dedicated to monitoring process execution details and another dedicated to analyzing user behavior and communications. This segmentation allows each component to specialize in its specific function without compromising the other, thereby maintaining precise process monitoring while simultaneously capturing user behavior data.
Solution Approach 2:
The monitoring system is designed to perform multiple functions simultaneously: it monitors process execution details, captures user communications, analyzes behavior patterns, and generates insights about both process performance and user characteristics. This multi-functionality resolves the contradiction by enabling the system to excel at both process monitoring and user behavior analysis without requiring separate systems.
2Measurement precision
If monitoring systems retrieve execution details from work lists, then process monitoring capability is improved, but comprehensive user profiling capability deteriorates
Solution Approach 1:
The system merges process execution monitoring with user profiling by integrating the collection and analysis of both types of data within a single unified framework. Execution details from work lists are combined with communication data and behavior patterns to create comprehensive user profiles that link process performance with user characteristics, thereby achieving both precise monitoring and complete profiling simultaneously.
3Productivity
If existing approaches tie together execution details for business process elements, then process analysis capability is improved, but user communication and behavior analysis capability deteriorates
Solution Approach 1:
The system adds a new dimension to process analysis by incorporating user behavior and communication data alongside traditional execution details. Instead of merely analyzing process elements in isolation, the system analyzes them in conjunction with user-specific dimensions such as communication styles, response patterns, and behavioral characteristics, thereby enabling comprehensive analysis without sacrificing efficiency.
Data Source
AI summary
A computer-implemented user profiling system includes a human communication retrieval component which, for an entity employing a business process management system, captures communication data in response to a given business process being implemented by the business process management system. A human task monitoring and contextual analysis component captures user behavior information associated with the business process. A profile analysis engine is also included, which receives the user behavior information and communication data and updates a user profile corresponding to at least one of the users, based on the user behavior information and communication data.


