Automated Analysis Data Upload for Proactive Problem Resolution
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Solution Overview
Problem
Conventional problem management methods in e-commerce and network communications are inefficient, requiring user intervention and manual updates, and only address known issues, leading to prolonged problem resolution times and increased costs.
Innovation Solution
A method and apparatus for automatically uploading and analyzing analysis data from user devices to a central database, enabling transparent data transmission and automated problem detection and resolution, reducing user involvement and enhancing provider service efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional problem management methods are used (help desk, manual updates), then users can receive support for known issues, but problem resolution time increases and costs increase due to manual user intervention
Solution Approach 1:
The system enables automatic self-diagnosis and self-reporting by having the computer automatically detect errors, capture analysis data, and upload it to the provider without user intervention. This resolves the contradiction by making the system serve itself rather than requiring manual help desk involvement.
Solution Approach 2:
The system performs preliminary error detection and data collection automatically before user intervention is needed. By pre-capturing analysis data and automatically uploading it when errors occur, the system eliminates the time loss associated with manual problem reporting and resolution.
2Reliability
If patches are provided to treat known problems, then specific errors can be corrected, but users experience longer waits for solutions and patches do not address hardware or error specific to particular users
Solution Approach 1:
The system establishes a feedback loop where analysis data is automatically uploaded from users to the provider, enabling the provider to analyze specific hardware and error combinations. This feedback mechanism allows for targeted solutions rather than generic patches, resolving the time delay by enabling rapid analysis and customization of fixes based on actual user data.
Solution Approach 2:
The system changes the parameter of error treatment from generic patches to customized solutions based on specific hardware and error parameters. By analyzing uploaded analysis data that includes hardware-specific information, the provider can generate targeted corrections that address the particular combination of hardware and error, eliminating wait times for generic patch development.
3Loss of information
If manual problem reporting and data collection are used, then providers can gather information for problem resolution, but heavy involvement of time, energy, and expense is required from both user and provider
Solution Approach 1:
The system replaces the mechanical manual process of problem reporting with an automated electronic system. The computer automatically detects errors, captures analysis data, and uploads it electronically to the provider, eliminating the need for manual verbal reporting and significantly improving productivity while maintaining complete information collection.
Solution Approach 2:
The system enables the computer to automatically perform the information collection function that previously required manual user involvement. By self-identifying errors and self-reporting analysis data, the system eliminates the time and energy expenditure required from users while maintaining complete and accurate problem information.
4Reliability
If software updates are supplied on physical media or through manual download, then users can receive updates, but the process is expensive, inefficient, and requires user knowledge and effort to install
Solution Approach 1:
The system replaces physical media distribution and manual download processes with automated electronic transmission. Analysis data is automatically uploaded over the network without requiring physical media or manual user actions, making the process both cost-effective and extremely easy to operate.
Data Source
AI summary
The invention enhances automatic incident control, problem control, and problem prevention using information provided by the analysis or analysis data. The burden on the part of both users and providers to resolve problems is reduced by using a method of automatic analysis data upload and intelligent problem analysis and resolution. Problems are better identified, investigated, diagnosed, recorded, classified, and tracked until affected services return to normal operation and errors trends are used to proactively prevent future problems.