Multi-Dimensional Profile Sharing for Cross-System Visibility
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Solution Overview
Problem
Existing data input and distribution systems face inefficiencies due to unclear structured data requirements, leading to unnecessary network bandwidth occupation and limited visibility of output data, especially in service architectures where downstream systems rely on the requesting system for data sharing.
Innovation Solution
A predictive profiling platform that generates multi-dimensional profiles and predictions, enabling coordinated display interfaces across systems based on intelligent data gathering and mappings, allowing selective user functions and efficient data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a requesting system dumps a large volume of unstructured data and relies upon the data process to implement sorting, organizing, filtering, and transforming tasks, then the base task can be performed, but network bandwidth is unnecessarily occupied and processing efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by having the requesting system pre-process and structure data before transmission. The system performs sorting, organizing, filtering, and transforming tasks locally before sending data to the data process, thereby reducing the volume of data transmitted over the network and improving processing efficiency at the target system.
2Ease of operation
If output data is transmitted in a single instance to the requesting system and visibility is limited to that system, then the requesting system receives the data, but network bandwidth is unnecessarily occupied when the requesting system must share data with other downstream systems
Solution Approach 1:
The patent applies the intermediary principle by introducing a data distribution mechanism that acts as a mediator between the data process and multiple downstream systems. This intermediary receives the output data once and intelligently distributes it to multiple requesting systems, eliminating the need for redundant data transmissions and reducing network bandwidth consumption while improving data sharing capability.
3Productivity
If incomplete data inputs are provided to a data process, then the requesting system can proceed with available data, but errors occur and require communication back and forth between systems
Solution Approach 1:
The patent applies feedback by implementing a validation mechanism that checks data completeness before processing. When incomplete data is detected, the system provides feedback to the requesting system indicating what data is missing, allowing the requester to supply the required information. This prevents processing errors and maintains data accuracy while minimizing the need for repeated communication cycles.
Data Source
AI summary
Aspects of the present disclosure provide technical solutions embodied in a predictive profiling platform. In example embodiments, the predictive profiling platform is configured to generate multi-dimensional system profiles and predictions thereof, provide shared visibility of system profiles between systems that are mapped together based on relationships between respective users, and enable improved cross-system functionality and operations.