Mosaic Display Tiles for Rapid Operational Status Visualization
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Solution Overview
Problem
Current data processing tools fail to effectively present complex business data in a clear and intuitive manner, overwhelming users with large volumes of information and struggling to capture multi-dimensional data insights, leading to difficulties in decision-making.
Innovation Solution
A system and method for displaying system status using display tiles that combine icons representing various attributes, allowing users to visualize high-volume repetitive data through a mosaic display, where each tile contains multiple image layers that change based on attribute values, enabling quick identification of status changes and facilitating rapid decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional data processing tools are used to present complex business data, then data can be processed and stored, but the data presentation becomes overwhelming and unclear, making it difficult for users to understand and make decisions
Solution Approach 1:
The patent segments complex business data into multiple hierarchical levels (summary level, detail level, and drill-down levels). Each level presents data in progressively more granular formats, allowing users to start with high-level overviews and progressively explore details only when needed. This segmentation prevents information overload by initially presenting only essential aggregated data.
Solution Approach 2:
The patent introduces multiple dimensions for data presentation including temporal dimensions (time-based filtering and trending), hierarchical dimensions (organizational structures, product categories), and analytical dimensions (KPIs, metrics, benchmarks). These additional dimensions allow users to navigate and understand complex data from multiple perspectives without increasing the apparent complexity at any single view.
2Loss of information
If more data is presented to users to capture multi-dimensional insights, then data completeness improves, but user comprehension deteriorates due to information overload
Solution Approach 1:
The patent implements dynamic data presentation that adapts to user interactions. The system dynamically adjusts the level of detail, filters data based on user preferences and roles, and dynamically generates drill-down paths based on user behavior patterns. This dynamic adaptation ensures that users receive appropriate amounts of information tailored to their specific needs and expertise levels.
Solution Approach 2:
The patent performs preliminary data processing, aggregation, and filtering before presenting data to users. Pre-computed summaries, pre-defined KPIs, and pre-organized hierarchical structures are prepared in advance, allowing users to immediately access meaningful insights without being overwhelmed by raw data. This preliminary structuring of data occurs automatically based on user profiles and contextual information.
3Loss of information
If detailed reports and drill-downs are provided to explain data results, then data explanation improves, but the presentation becomes rigid and time-consuming, reducing decision-making efficiency
Solution Approach 1:
The patent implements periodic updating of data presentations at multiple hierarchical levels. Summary views are updated periodically with key changes, while detailed drill-downs are loaded on-demand only when users indicate interest. This periodic action pattern ensures that users always see current summary information without being forced to load complete detailed reports unless necessary for their specific decision-making needs.
Solution Approach 2:
The patent employs a nested hierarchical structure where summary data contains embedded links to detailed data, which in turn contains embedded links to even more granular data. This nested organization allows users to access explanations at the appropriate level of detail without having to navigate through rigid, pre-defined report structures. Users can drill down progressively only as far as needed for their decision-making process.
Data Source
AI summary
A system and method for creating a visual perspective of operational information that facilitates rapid decision making. The system and method merges existing data sources from any number of computer-fed external data sources through an applications server to display data set in easily recognizable, repeatable images (tiles) uniquely designed for a user's application. The system and method create visual perspectives of data that accelerate decision-making and problem solving processes by displaying repeatable images (tiles) that display performance results verses expected performance criteria in high-volume, intuitive displays. The system and method utilizes facet searching to assist in refining the displayed images (tiles) to display a system status to the user.