Enterprise Data Presentation System Using Adaptive Navigation
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Solution Overview
Problem
Current enterprise systems face inefficiencies due to limited methods for accessing and presenting enterprise data, restricting user productivity through restricted visualization and access combinations.
Innovation Solution
A system that allows users to select from various working modes and navigation methods to access and present enterprise data using a combination of visualization paradigms, including fish eye view, tabular view, chart form, and semantic networks, tailored to the user's context and preferences, enabling flexible data presentation across different modes and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional software applications with limited menu navigation are used, then system complexity is reduced, but user productivity and data access efficiency deteriorate
Solution Approach 1:
The patent implements a universal navigation system that integrates multiple navigation methods (hierarchical, keyword, graphical, contextual) and visualization paradigms (tabular, graphical, hierarchical, semantic networks) into a single enterprise-wide platform. This multi-functional navigation architecture allows users to access and visualize enterprise data through diverse methods without requiring separate applications, thereby improving productivity while managing system complexity through unified design.
Solution Approach 2:
The navigation system is designed to be dynamic and adaptive, automatically selecting appropriate navigation methods and visualization paradigms based on user context, data type, and preferences. The system can switch between different visualization modes (e.g., tabular view, graphical view, hierarchical view) and navigation approaches (e.g., menu-driven, keyword search, graphical interface) to optimize user productivity for different tasks and user needs.
2Adaptability or versatility
If multiple visualization and navigation methods are implemented, then user flexibility and data presentation capability improve, but system complexity increases
Solution Approach 1:
The patent segments the navigation system into distinct modular components: hierarchical navigation, keyword navigation, graphical navigation, and contextual navigation. Each navigation method and visualization paradigm (tabular, graphical, hierarchical, semantic networks) is implemented as an independent module that can be selectively activated. This segmentation allows the system to provide diverse data presentation flexibility while managing complexity through modular architecture, where each segment handles specific functions independently.
Solution Approach 2:
The patent introduces a navigation controller or intermediary component that manages the interaction between multiple navigation methods and visualization paradigms. This intermediary coordinates the selection and switching between different navigation approaches and visualization modes, providing a unified interface to users while handling the complexity of multiple methods internally. The intermediary ensures seamless transitions between tabular, graphical, hierarchical, and semantic network views without exposing users to underlying system complexity.
3Productivity
If context-aware data presentation is provided, then user efficiency improves, but information processing requirements increase
Solution Approach 1:
The patent implements context-aware navigation by pre-processing and analyzing user context, data characteristics, and preferences before data presentation. The system preliminarily determines the most appropriate navigation method and visualization paradigm based on contextual factors, preparing the optimal presentation mode in advance. This preliminary action reduces real-time processing requirements during data access while maintaining high user efficiency, as the system has already selected the most suitable visualization approach (tabular, graphical, hierarchical, or semantic network) based on pre-analyzed context.
Data Source
AI summary
Presentation methods are determined from a work context and/or user preferences. The presentation methods can be combined in any manner with various navigational methods and working modes, to present any type of enterprise data to a user.