Multi-Platform Service Management via Parameter Mapping
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Solution Overview
Problem
Service management organizations face inefficiencies in processing and converting diverse incident reports from multiple client platforms with different configurations, requiring manual intervention and separate systems, which wastes computing resources and complicates feedback provision.
Innovation Solution
A multi-platform service management system that maintains a client mapping data structure to convert client-specific incident reports into management reports, processes them to generate service information, and converts this information back into client-specific reports, enabling universal operation across various platforms with reduced resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used to process and convert diverse incident reports from multiple client platforms, then processing accuracy can be maintained, but computing resources are wasted and processing efficiency decreases
Solution Approach 1:
The patent implements a universal service management system that can handle incident reports from multiple different client platforms through a single standardized interface. The system uses mapping data structures to translate various client-specific parameters into standardized management parameters, allowing one system to serve multiple platforms without requiring separate manual processing for each, thereby improving efficiency while maintaining consistent resource usage
Solution Approach 2:
The system transforms incident report parameters by mapping client-specific parameters to standardized management parameters through data structures. This parameter transformation automates the conversion process that previously required manual intervention, enabling efficient processing of diverse reports while maintaining processing accuracy through structured data translation
2Adaptability or versatility
If separate systems are used for each client platform, then platform-specific requirements can be met, but device complexity increases and resource usage increases
Solution Approach 1:
The patent creates a universal service management system capable of handling multiple client platforms through a single interface. By implementing mapping data structures that translate various client parameters into standardized management parameters, the system achieves platform compatibility without requiring separate systems for each client, thereby reducing overall system complexity while maintaining adaptability
Solution Approach 2:
The mapping data structure acts as an intermediary layer between diverse client platforms and the standardized service management system. This intermediary translates and adapts parameters from different client formats into a unified management format, enabling platform compatibility without increasing system complexity by avoiding the need for multiple specialized systems
3Adaptability or versatility
If diverse client platform configurations are supported, then service coverage is improved, but processing complexity increases and automation becomes more difficult
Solution Approach 1:
The system handles diverse client platform configurations by transforming their specific parameters into standardized management parameters through mapping data structures. This parameter transformation approach maintains service coverage for multiple platforms while simplifying processing complexity, as the standardized parameters enable automated processing without requiring complex platform-specific logic
Solution Approach 2:
The service management system achieves universal support for diverse client platforms through a single standardized interface. By using mapping data structures to translate various client parameters into unified management parameters, the system provides broad platform support while maintaining simple, automated processing logic, avoiding the complexity that would arise from handling each platform configuration separately
4Measurement precision
If manual conversion of reports is performed, then accuracy can be maintained, but processing time increases and productivity decreases
Solution Approach 1:
The system automates report conversion by transforming client-specific parameters into standardized management parameters through mapping data structures. This automated parameter transformation maintains conversion accuracy through structured data translation while dramatically reducing processing time compared to manual conversion, thereby improving productivity without sacrificing precision
Solution Approach 2:
The patent replaces manual mechanical conversion processes with automated computational parameter transformation. The mapping data structures enable automatic translation of client parameters to management parameters, substituting manual effort with automated processing that maintains accuracy through structured data relationships while reducing processing time and improving productivity
Data Source
AI summary
In some implementations, a system may receive, from a client platform, a first report associated with an incident involving a client device that is associated with the client platform. The system may identify, in a mapping, a first management parameter that is mapped to a first client parameter. The system may generate a second report that includes an incident value in association with the management parameter. The system may process the second report to obtain service information associated with the incident. The system may generate a third report that includes the service information, wherein the service information is associated with a second management parameter. The system may identify, based on the mapping, a second client parameter that is mapped to the second management parameter. The system may generate a fourth report that includes the service information in association with the client parameter.