Centralized Data Storage for KPI Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication network systems are inflexible and burdensome for network service providers and operators, leading to difficulties in efficiently sending, receiving, and managing system data for KPI monitoring, resulting in potential data loss, miscommunication, and lack of transparency.
Innovation Solution
A centralized data storage and management system that allows network service providers to directly send system data to network operators, reducing the need for intermediary communications and providing transparency into stored data, while enabling easy access and categorization for monitoring and updating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized data storage system is implemented, then data management efficiency and transparency are improved, but system complexity increases
Solution Approach 1:
The patent merges multiple data storage locations into a single centralized repository, combining data from multiple network service providers into one unified system. This consolidation improves data management efficiency by eliminating the need to access multiple distributed storage locations while maintaining system functionality.
Solution Approach 2:
The centralized data storage system is designed to handle multiple types of data from various network service providers through a unified interface and process. The system provides universal functionality for storing, retrieving, and managing KPI data from different sources, reducing the need for provider-specific management procedures.
2Ease of operation
If network service providers directly send data to network operators, then communication burden is reduced, but data security and access control become more challenging
Solution Approach 1:
The patent introduces a centralized data storage system as an intermediary between network service providers and network operators. This mediator receives data from multiple providers, standardizes the data format, and manages distribution to operators, reducing direct communication burden while maintaining security through controlled access protocols.
Solution Approach 2:
Network service providers are empowered to directly upload their own data to the centralized storage system using standardized interfaces. The system automatically processes, validates, and stores the data without requiring manual intervention from operators, reducing communication burden while maintaining data integrity through automated validation rules.
3Measurement precision
If comprehensive KPI data is collected and stored, then monitoring accuracy is improved, but data storage requirements and processing time increase
Solution Approach 1:
The patent extracts and stores only the essential KPI parameters and performance metrics required for monitoring, separating critical data from redundant information. The centralized system identifies and retains only the most relevant data points for accuracy while discarding or aggregating less important information, reducing overall storage requirements.
Solution Approach 2:
The system implements selective data collection by focusing on specific KPI parameters that are most critical for monitoring purposes. Rather than storing all possible data, the system collects and stores only the necessary subset of information required for accurate monitoring, optimizing the balance between accuracy and storage requirements.
Data Source
AI summary
An apparatus is configured to process user credentials received by way of a graphical user interface output by a display, retrieve a user profile associated with the user credentials from a database, and access a central repository to retrieve stored data based on the user profile. The apparatus is also configured to cause a list of the stored data corresponding to the user profile to be displayed. The stored data is displayed according to a plurality of sortable parameters indicative of the stored data included in the list. The apparatus is further configured to process a user input received by way of the graphical user interface to add new data to the central repository, cause a configuration profile user interface to be output by the display, and cause the new data to be added to the central repository and sorted according to a generated configuration profile.


