Multi-Board Summary Tablature for Semantic Data Aggregation
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Solution Overview
Problem
Current project management software applications are inefficient in managing complex operations across multiple employees and departments, lacking effective tools for integrating and summarizing data from multiple boards, leading to cumbersome data aggregation and analysis processes.
Innovation Solution
A system and method for generating high-level summary tablature based on lower-level tablature, utilizing a processor to perform electronic semantic analysis, consolidate similar data, summarize, and aggregate information across multiple boards, presenting a consolidated summary that associates similarity consolidations with aggregated data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data aggregation and analysis processes are used across multiple boards, then data can be integrated, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs automatic semantic analysis and data consolidation across multiple boards without requiring manual intervention. The processor autonomously identifies similar data, consolidates it into summary tablature, and presents aggregated results, allowing the system to serve itself in the data aggregation process rather than requiring user-driven manual operations
Solution Approach 2:
The patent replaces manual mechanical data aggregation processes with automated electronic semantic analysis. Instead of users manually collecting and analyzing data from multiple boards, the system uses electronic processors to automatically perform semantic analysis, identify similarities, consolidate data, and generate summary tablature, substituting human effort with automated computational mechanisms
2Productivity
If data from multiple boards is integrated and summarized, then data management efficiency improves, but system complexity increases
Solution Approach 1:
The system segments the complex task of multi-board data integration into distinct functional modules: electronic access to boards, semantic analysis component, consolidation mechanism, summarization process, and aggregation output. Each module handles a specific aspect of the data processing pipeline, making the overall complex system manageable through functional decomposition
Solution Approach 2:
The patent introduces summary tablature as an intermediary representation between the raw data in multiple boards and the user. This intermediary structure consolidates similar data from various boards into a unified format, simplifying the complexity of managing multiple data sources while maintaining data integrity and relationships
3Measurement precision
If semantic analysis is performed to identify similar data, then data accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary semantic analysis on data as it is accessed from boards, preparing and identifying similar data points before the actual consolidation and summarization processes. This preliminary identification of similarities allows for more efficient subsequent processing and reduces the time required for the main aggregation tasks
Data Source
AI summary
Systems, methods, and computer-readable media for generating higher level summary tablature based on lower level tablature are disclosed. The systems and methods may involve at least one processor configured to: receive a selection of at least one item contained on both a first board and a second board; detect a first type of information; detect a second type of information; detect a third type of information; detect a fourth type of information; analyze characteristics to ascertain that the first type of information is aggregable with the third type of information, and that the second type of information is aggregable with the fourth type of information; present the at least one item on a third board; and aggregate on the third board, the first type of information with the third type of information, and the second type of information with the fourth type of information.