Graphical User Interface for Dynamic Database Query Visualization
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Solution Overview
Problem
Existing graphical user interfaces for databases require manual data integration and correlation to identify patterns or insights, leading to inefficient data analysis and limited visualization capabilities, especially when dealing with large datasets.
Innovation Solution
A graphical user interface system that dynamically queries databases, generates visual representations based on query parameters, and presents supplemental data with rankings, allowing users to select cumulative options and share annotations, thereby facilitating rapid data investigation and insight generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data integration and correlation are used to identify patterns in database queries, then users can analyze data with basic tools, but the process becomes inefficient and time-consuming when dealing with large datasets
Solution Approach 1:
The patent replaces manual mechanical data integration processes with automated computer-based visual query construction and execution. The system automatically integrates data from multiple tables, correlates information, and generates visual representations without requiring manual data processing, thereby dramatically improving productivity while reducing time loss.
Solution Approach 2:
The system enables self-service data analysis by providing automated query execution and dynamic visualization generation. Users can construct queries through graphical interfaces, and the system automatically performs data integration, correlation, and pattern identification, eliminating the need for manual data processing while maintaining user control over the analysis process.
2Ease of operation
If comprehensive data visualization capabilities are implemented to enhance pattern identification, then user understanding improves, but the device complexity increases
Solution Approach 1:
The patent segments the complex visualization system into distinct functional modules: query construction interface, query execution engine, result processing component, and visualization generation module. Each module handles specific tasks independently, making the overall complex system manageable through clear separation of concerns while still providing comprehensive visualization capabilities.
Solution Approach 2:
The system introduces an intermediary layer between the user and the complex data processing operations. The graphical query construction interface serves as an intermediary that translates user-friendly visual operations into complex backend queries, while the visualization generation module acts as an intermediary that converts raw data results into intuitive graphical representations, thereby simplifying user interaction despite underlying complexity.
Data Source
AI summary
Systems and methods are provided for improved interactive graphical user interfaces. The system allows users to visually construct queries of a database. The system can dynamically generate visual representations of supplemental data and cumulative data. Users can share annotations related to user input queries via the graphical user interface.