Point-in-Time Visualization for Organizational Hierarchy Tracing
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Solution Overview
Problem
Supply chain professionals face challenges in tracing the ownership of goods and materials across organizational changes over time, requiring extensive record searches due to fluid organizational structures, especially during mergers or acquisitions, which complicates understanding the organizational hierarchy at any given point in history.
Innovation Solution
A computer-implemented method and system for Point-in-Time Visualization that processes organizational structure queries, retrieves and sorts historical organizational hierarchy records, and displays them in an organizational tree structure along with entity change parameters, allowing users to visualize the hierarchical state at specific points in time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If supply chain professionals search through years of records to establish chain of title or ownership, then they can trace organizational changes, but the process becomes time-consuming and complex
Solution Approach 1:
The system pre-processes and stores organizational hierarchy data in a structured format with temporal annotations before queries are made. Historical organizational records are organized into tree structures with entity change parameters pre-calculated, so when a user needs to trace ownership, the information is already prepared and can be retrieved instantly without searching through years of unprocessed records
Solution Approach 2:
The system creates simplified copies of complex organizational history data in the form of visualizable tree structures. Instead of requiring users to search through raw historical records, the system generates condensed representations showing organizational hierarchy at specific points in time, making ownership tracing immediate and accurate without time-consuming manual searches
2Reliability
If detailed historical organizational records are stored and analyzed, then accurate chain of title can be established, but the system complexity increases
Solution Approach 1:
The system segments complex organizational history into discrete, manageable entities and time points. Each organizational record is broken down into entity change parameters (creation, modification, deletion events) that can be independently stored and queried. This segmentation allows accurate ownership determination while keeping the underlying system structure organized and manageable rather than monolithic and complex
Solution Approach 2:
The system introduces an intermediary layer that translates complex historical record data into simplified tree structures with entity change parameters. This intermediary representation layer handles the complexity of raw organizational data, allowing users to query ownership information without dealing with the underlying system complexity. The tree structure acts as a mediator between the complex database and the user interface
3Loss of information
If comprehensive organizational hierarchy data is visualized, then understanding of organizational structure at any point in time is improved, but the data presentation becomes overwhelming
Solution Approach 1:
The system dynamically adapts the visualization based on user needs and query parameters. When users query organizational structure at a specific point in time, the system dynamically generates a tree structure showing only the relevant organizational entities and relationships for that time period, rather than displaying all historical data statically. This dynamic approach maintains information completeness while making the presentation manageable and easy to interpret
Solution Approach 2:
The system extracts and displays only the relevant organizational information needed for the specific query, separating essential data from extraneous details. When visualizing organizational hierarchy at a given point in time, the system extracts the active organizational entities and their relationships, omitting historical artifacts that are no longer relevant. This extraction maintains complete and accurate information while presenting it in a clean, non-overwhelming format
Data Source
AI summary
A method for point-in-time visualization system management is provided. The method includes receiving organizational structure queries from user interfaces, creating organizational hierarchy database queries from the organizational structure query, and converting the results of those queries into entity change parameters lists and organizational tree structures for display on the user interface. The displayed organizational tree structure and entity change parameters can be filtered via controls available on the user interface.