Enterprise Data Navigation Interface for Visual Relationship Mapping
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Solution Overview
Problem
Existing data navigation interfaces in enterprises are cumbersome, making it difficult for users to efficiently navigate and understand relationships between data objects, requiring significant time and effort to find relevant information.
Innovation Solution
A graphical user interface (GUI) that organizes data objects into classifications and relationship types, using visually defined sections to present relationships and allowing customizable views, enabling efficient navigation and modification of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional tabs and tables are used to present data, then comprehensive information can be displayed, but navigation becomes cumbersome and relationships between data objects are not apparent
Solution Approach 1:
The interface is segmented into multiple visual sections including a central data object display area, a navigation area with hierarchical data classifications, and a relationships area. This segmentation allows comprehensive information to be organized into distinct functional zones, making navigation intuitive while preserving complete data visibility.
Solution Approach 2:
The patent transitions from traditional two-dimensional tabular displays to a multi-dimensional visual interface that spatially organizes data objects, data classifications, and relationships in distinct graphical zones. This dimensional reorganization enables users to comprehend complex data relationships more efficiently while maintaining comprehensive information display.
2Loss of information
If detailed information about particular subjects is included, then complete data is available, but additional analysis is required to determine relevant information
Solution Approach 1:
Different sections of the interface provide different levels of information detail tailored to specific user needs. The central area displays comprehensive data object information, while surrounding areas provide contextual relationships and hierarchical classifications, allowing users to quickly identify relevant information without analyzing entire datasets.
Solution Approach 2:
The visual interface acts as an intermediary between raw data and user understanding by automatically organizing and presenting relationships between data objects. This intermediary processing eliminates the need for users to perform additional analysis to determine relevant information, as relationships are pre-visualized in the relationships area.
3Stability of the object's composition
If static data presentation is used, then data structure is maintained, but users cannot interactively navigate or affect the data
Solution Approach 1:
The interface transitions from static data presentation to a dynamic, interactive visual display where users can navigate between data objects, expand hierarchical classifications, and explore relationships. The underlying data structure remains stable and intact, while the visual representation becomes adaptable to user interactions and exploration needs.
Data Source
AI summary
A computer-implemented method of presenting a graphical user interface (GUI) includes receiving an indication of a data object related to an enterprise and identifying one or more data classifications related to the data object and one or more relationship types between the data object and the one or more data classifications. Additionally, the computer-implemented method includes generating and presenting the GUI via a client device. The GUI includes a central section indicating the data object and one or more sections disposed around the central section. The one or more sections indicate the one or more data classifications and the one or more relationship types between the data object and the one or more data classifications.