Dynamic Work Graphs for Organizational Relationship Mapping
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Solution Overview
Problem
Traditional data processing systems fail to accurately depict how personnel within an organization interact and collaborate, as formal organizational structures do not reflect actual working relationships or provide detailed information about individual abilities and experiences.
Innovation Solution
A computer-implementable method and system that generates and utilizes a work graph by identifying and integrating data from diverse sources, matching entities, and performing queries to create a graphical representation of relationships between people, communication, and work artifacts, enabling efficient organization and depiction of work interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If formal organizational structures are used to depict reporting relationships, then hierarchical clarity is improved, but actual working relationships and collaboration patterns are not accurately represented
Solution Approach 1:
The patent transitions from static organizational charts to dynamic work graphs that automatically update based on actual work interactions. The system continuously monitors communication patterns, file sharing, and collaboration activities to reflect real-time working relationships, making the organizational representation adaptive and versatile.
Solution Approach 2:
The patent adds a new dimension to organizational representation by incorporating multiple types of relationships (communication, collaboration, file sharing) beyond traditional reporting lines. This multi-dimensional approach captures both hierarchical structure and actual working relationships simultaneously.
2Loss of information
If comprehensive data from multiple sources is integrated to create work graphs, then relationship insights are improved, but data processing complexity increases
Solution Approach 1:
The patent creates a universal work graph system that can ingest and process multiple data types (email, instant messaging, file sharing, calendar) through a unified framework. This multi-functional approach consolidates diverse data sources into a single coherent representation, reducing overall system complexity despite handling comprehensive data.
Solution Approach 2:
The work graph acts as an intermediary layer that sits between multiple data sources and the user interface. It aggregates, processes, and synthesizes data from various sources before presenting insights to users, simplifying the complexity of direct multi-source integration.
3Productivity
If detailed personnel information is stored and queried, then search capability is improved, but data storage and processing requirements increase
Solution Approach 1:
The patent extracts only the most relevant relationship and interaction data from comprehensive personnel information, storing and querying specifically the work-related connections and collaboration patterns rather than all possible personnel attributes. This selective extraction maintains search efficiency while reducing storage requirements.
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for improved generation and use of personnel work graphs that show relations between entities, such as people, communication between people, work artifacts with people, and work artifacts with other work artifacts. Data from different importers are identified, where new data sources can be added at a later time and data is seamlessly added to the graphical representation of the work graphs. Data includes personnel and work artifacts. Since object related data, such as work, roles and responsibilities continuously change, in at least one embodiment, a continuous process of importing and synchronization is performed for the data, and a graphical representation of the data is created.