Data Fusion System for Interactive Map Visualization
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Solution Overview
Problem
Current methods for analyzing large data sets in organizations are antiquated and do not leverage the processing power of the 'Big Data' era, failing to efficiently extract useful information for informed decision-making.
Innovation Solution
A data fusion system that transforms various data sources into an object model using ontology and schema mapping, enabling interactive data analysis and visualization, and considers consumer demographics and competitor proximity for performance evaluation of provisioning entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data analysis methods are used, then data can be processed and stored, but the processing efficiency is insufficient and cannot leverage Big Data processing power
Solution Approach 1:
The patent segments the data analysis process into distinct modules: data collection from multiple sources, data storage in structured formats, ontology-based classification, and visualization. This segmentation enables parallel processing and optimization of each stage, significantly improving overall data processing efficiency while reducing the time to extract actionable insights.
2Loss of information
If data is collected and stored in structured formats, then information can be organized, but the ability to efficiently analyze and visualize large data sets is limited
Solution Approach 1:
The patent introduces an ontology as an intermediary layer between structured data storage and analysis/visualization. The ontology provides semantic relationships and classification frameworks that enable efficient querying and analysis of large data sets without requiring complex processing of the underlying structured data, thus preserving information while accelerating analysis speed.
3Productivity
If traditional classification methods are used, then data can be organized, but the analysis does not take advantage of higher processing speeds in the Big Data era
Solution Approach 1:
The patent implements a multi-functional data fusion system that combines data collection, storage, ontology-based classification, analysis, and visualization capabilities in a unified architecture. This universal system leverages modern Big Data processing speeds across all functions while managing complexity through integrated design, allowing the system to handle diverse data types and analysis requirements efficiently.
Data Source
AI summary
Approaches for displaying a user interface including a map based on interaction data are disclosed. A set of interaction data and can be acquired and stored in a data structure. This data can be associated with a plurality of consuming entities that may have purchased something during these interactions. A set of provisioning entities can be determined based on spending or purchasing habits of the consuming entities. Based on this set of provisioning entities, a user interface can be generated which may include various shapes similar to a heat map. These shapes can indicate an average amount spent in a particular neighborhood, among other attributes.