Graphical Interface Data Tagging for Real-Time Analysis
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Solution Overview
Problem
Current analytical programs face challenges in handling high volumes of data efficiently and processing data in real-time, as well as combining data from different sources effectively.
Innovation Solution
A system and method for data analysis and processing using identification tagging on a graphical user interface, which includes a processing device configured to identify data points, generate point identification indicators, and associate user inputs with these points across various graphical sections, enabling efficient data rendering and integration from multiple data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If current analytical programs process high volumes of data, then data processing capability is improved, but processing efficiency deteriorates
Solution Approach 1:
The system segments data into discrete data points and uses identification tags to categorize and organize them. This segmentation allows the system to handle high volumes of data by breaking them into manageable, tagged units that can be processed efficiently through the graphical user interface.
Solution Approach 2:
The patent introduces identification tags as intermediary elements between raw data and the processing system. These tags serve as mediators that enable efficient sorting, filtering, and processing of data points, allowing the system to maintain high processing efficiency even when handling large data volumes.
2Adaptability or versatility
If current analytical programs integrate data from multiple sources, then data integration capability is improved, but processing speed deteriorates
Solution Approach 1:
The system employs a universal tagging mechanism that can identify and categorize data points from any data source using consistent identification tags. This universal approach allows the system to integrate data from multiple sources without requiring source-specific processing logic, thereby maintaining processing speed while enhancing integration capability.
Solution Approach 2:
The patent changes the parameter of data identification by using standardized identification tags instead of source-specific identifiers. This parameter change enables the system to process data from multiple sources uniformly, maintaining processing speed while improving data integration capability across diverse sources.
3Loss of time
If real-time data processing is implemented, then responsiveness is improved, but system complexity deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-tagging data points with identification tags as they are collected. This preliminary organization of data with tags enables real-time processing and querying without requiring complex real-time analysis algorithms, thus improving responsiveness while keeping system complexity manageable.
Data Source
AI summary
Systems, computer program products, and methods are described herein for providing data analysis and processing using identification tagging of information on a graphical user interface. The method includes identifying a data point within a data rendering to a graphical user interface. The method also includes generating a point identification indicator for the given data point within the data rendering to the graphical user interface. The method includes receiving a user input associated with the data point within the data rendering to the graphical user interface. The user input includes a user commentary associated with the data associated with the data point within the data rendering to the graphical user interface. The method further includes associating the user input with the data point using the point identification indicator. The user input is associated with the data point within the data rendering to the graphical user interface via the point identification indicator.