Multi-Source Risk Assessment Data Consolidation for Faster Validation
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Solution Overview
Problem
Existing risk assessment systems often rely on a single data source, which can lead to inaccurate assessments and inefficient resource utilization due to the need for separate validation processes, resulting in delayed interactions and increased computational resource usage.
Innovation Solution
A system that consolidates and validates risk assessment data from multiple sources through a user interface, allowing entities to input data and receive validated indicators, which are then transmitted for efficient access control to interactive computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single source of data is used for risk assessment, then the computing device can process data more efficiently, but the accuracy of risk assessment input deteriorates
Solution Approach 1:
The patent combines multiple data sources (user-provided data, third-party data, device data) into a unified risk assessment process. The system consolidates these diverse inputs and validates them together, allowing accurate risk assessment while maintaining efficient single-process handling of the combined data stream.
2Measurement precision
If multiple data sources are used for risk assessment, then the accuracy of risk assessment input is improved, but the computing device cannot process the data efficiently due to configuration limitations
Solution Approach 1:
The system is designed to handle multiple types of data sources (user input, third-party APIs, device sensors) through a single universal processing framework. This multi-functional capability allows the device to efficiently process diverse data sources without requiring separate processing configurations for each source.
Solution Approach 2:
Multiple data sources are merged into a unified data structure that can be processed through a single validation and risk assessment process, eliminating the need for multiple separate processing configurations while maintaining the ability to handle diverse input types.
3Reliability
If separate validation processes are used for each data source, then each data source can be validated thoroughly, but the interaction time and computational resource usage increase
Solution Approach 1:
The system merges multiple validation processes into a single consolidated validation operation. Instead of validating each data source separately through multiple sequential processes, the system validates all data sources together in one unified process, reducing interaction time while maintaining thorough validation through the comprehensive nature of the consolidated approach.
4Reliability
If separate validation processes are used for each data source, then each data source can be validated thoroughly, but the computational resource usage increases
Solution Approach 1:
Multiple validation processes are merged into a single validation operation that processes all data sources simultaneously. This consolidation reduces computational overhead by eliminating redundant operations and shared infrastructure, thereby reducing energy consumption while maintaining the thoroughness of validation through the comprehensive unified approach.
Data Source
AI summary
Systems and methods for consolidating data sources for expediting validation processes are described herein. A user interface can be provided to a first entity. First risk assessment data associated with the first entity can be received via the user interface. Second risk assessment data associated with the first entity can be received. The first risk assessment data and the second risk assessment data can be validated. The first risk assessment data and the second risk assessment data can be output for display on the user interface. A responsive message including the validated first risk assessment data and the validated second risk assessment data can be transmitted to a remote computing device for use in controlling access of the first entity to one or more interactive computing environments.