Dynamic Guided Pages for Cross-Domain Data Discovery
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Solution Overview
Problem
Business intelligence systems require custom programming and maintenance, limiting user control over data discovery, and existing tablet-based solutions fail to effectively utilize the device for dynamic data linking across multiple domains.
Innovation Solution
A method and system for automated discovery of relevant dimensions in a data set, using a columnar array organized by a set of common dimensions across multiple domains, generating guided navigation pages with actionable elements, and employing machine learning to identify dynamic dimensions based on user interaction, enabling seamless navigation across domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If business intelligence systems use custom programming and maintenance by professional systems analysts, then data discovery control is centralized, but user control over data discovery is limited
Solution Approach 1:
The system enables users to autonomously discover and navigate data domains through automated guided page generation and dynamic dimension identification, eliminating the need for professional systems analysts to manually configure each user's data exploration path. The machine learning system automatically adapts to user needs and generates relevant navigation paths without human intervention.
Solution Approach 2:
The patent introduces an automated guided page generation system as an intermediary between the user and the complex data discovery infrastructure. This intermediary automatically translates user interactions into meaningful navigation paths across multiple data domains, bridging the gap between user simplicity and system complexity.
2Ease of operation
If dynamic linking of data is limited to diving vertically within a data domain, then data navigation is simplified, but cross-domain data viewing is prevented
Solution Approach 1:
The guided navigation page system serves multiple functions simultaneously: it provides simple vertical navigation within domains while also enabling horizontal cross-domain data exploration. The system dynamically adapts its behavior based on user interactions, automatically generating navigation paths that can traverse multiple data domains through common dimensions without requiring complex user configuration.
3Ease of operation
If tablet-based business intelligence systems are developed, then device accessibility is improved, but effective utilization of tablet capabilities for dynamic data linking is lacking
Solution Approach 1:
The system dynamically generates guided navigation pages tailored to each user's interactions and needs, rather than using static pre-configured reports. The machine learning system continuously adapts the navigation paths based on monitored user behavior, automatically identifying relevant dimensions and generating appropriate guided pages that leverage tablet capabilities for intuitive touch-based data exploration across multiple domains.
Data Source
AI summary
Generating sets of data from the columnar array for configuring guided navigation pages that include actionable elements that correspond to one or more dimension of the set of dimensions.