Mosaic Tile Visualization for High-Volume Data Analytics
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Solution Overview
Problem
Current business intelligence tools fail to effectively present complex business data, leading to overwhelming information for users and inadequate decision-making capabilities, especially when dealing with high volumes of repetitive data from multiple sources.
Innovation Solution
A system that creates a mosaic display using layered image tiles, each representing multiple attributes of a system, allowing users to quickly assess the status of various components and make informed decisions by using recognizable images, colors, and sizes to indicate performance levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional static reports and dashboards are used to present business data, then data can be displayed in a structured format, but users are overwhelmed by the volume of information and cannot quickly understand complex business problems
Solution Approach 1:
The patent segments complex business data into multiple visual layers, where each layer represents a specific dimension or attribute of the data. This allows users to progressively explore data at different levels of detail without being overwhelmed by the entire dataset at once, directly addressing the information overload problem.
Solution Approach 2:
The patent transforms traditional two-dimensional static reports into multi-dimensional visual displays by stacking multiple layers of data representation. This dimensional transformation enables users to perceive complex relationships and patterns that cannot be captured in conventional row-column formats, improving data comprehension.
2Loss of information
If detailed reports with multiple rows and columns are provided, then comprehensive data is available, but users cannot quickly extract meaning and decision-making is delayed
Solution Approach 1:
The patent performs preliminary data processing and visualization by pre-organizing data into meaningful visual layers before user interaction. This preliminary structuring allows users to immediately grasp key insights without spending time manually analyzing raw data, significantly reducing decision-making time while preserving data completeness.
Solution Approach 2:
The patent uses color coding and visual differentiation across layers to highlight important data patterns, anomalies, and relationships. This visual encoding enables users to quickly identify key information and make informed decisions without reading through extensive numerical data, addressing both data completeness and time efficiency.
3Ease of operation
If traditional dashboard gauges and charts are used, then some data visualization is provided, but complex business problems cannot be captured and relationships between data points are lost
Solution Approach 1:
The patent creates a universal visual framework that can represent multiple types of business data and relationships simultaneously through layered visualization. This multi-functional approach allows a single display system to handle diverse business problems while preserving contextual relationships, unlike specialized traditional charts that can only show limited aspects.
Solution Approach 2:
The patent implements a nested visualization structure where multiple layers of data are contained within a unified display framework. Each layer can be independently explored while maintaining its relationship to the overall business context, enabling users to drill down into specific details without losing the broader business picture.
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 sets in easily recognizable, repeatable images (tiles) uniquely designed for a user's application. The system and method creates visual perspectives of data that accelerate decision-making and problem-solving processes by displaying repeatable images (tiles) that display performance results versus expected performance criteria in high-volume, intuitive displays.