Subscriber Data Integrity Auditing for Pre-Provisioning Auto-Correction
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Solution Overview
Problem
The linkage between keys/indexes/identities in front-end servers and subscription profiles in back-end servers is often corrupted during CRUD operations, leading to database health issues and provisioning failures in telecommunication service providers.
Innovation Solution
A proactive auditing mechanism is implemented by the provisioning orchestrator to query indexes/keys in front-end servers and unique identifiers in back-end servers in parallel, identifying and correcting inconsistencies before provisioning operations, thereby ensuring data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional database auditing is performed to ensure data integrity between front-end and back-end servers, then data linkage accuracy is improved, but auditing time increases significantly
Solution Approach 1:
The system performs auditing actions before actual provisioning operations occur. By proactively identifying and correcting data linkage issues between front-end and back-end servers before they affect service delivery, the system prevents failures rather than reacting to them after time is lost.
Solution Approach 2:
The system implements continuous monitoring and feedback loops that detect data integrity issues in real-time. When inconsistencies are found in the linkage between keys/indexes in front-end servers and subscription profiles in back-end servers, the system automatically triggers correction mechanisms and updates the indexing layer, creating a closed-loop feedback system that maintains accuracy without requiring lengthy manual audits.
2Reliability
If comprehensive database auditing is performed to detect all data inconsistencies, then data integrity is improved, but provisioning operation speed decreases
Solution Approach 1:
The auditing and correction process is segmented into distinct modular components: (1) detection phase that identifies data integrity issues, (2) correction phase that fixes the issues, and (3) validation phase that confirms resolution. This segmentation allows each phase to be optimized independently and enables parallel processing of multiple auditing tasks without blocking the entire provisioning operation.
Solution Approach 2:
By performing data integrity auditing and correction as a preliminary action before provisioning operations start, the system ensures that data consistency issues are resolved in advance. This eliminates the need to slow down provisioning operations to check for data integrity during execution, thereby maintaining high productivity while ensuring reliability.
3Measurement precision
If manual data correction processes are used to fix database inconsistencies, then data accuracy is improved, but operational complexity increases
Solution Approach 1:
The system implements self-service automation where the auditing and correction mechanisms operate automatically without requiring manual intervention. When data integrity issues are detected in the linkage between front-end and back-end servers, the system autonomously identifies the problems, executes corrections, and validates the fixes, thereby maintaining data accuracy while reducing operational complexity through automation.
Solution Approach 2:
The system automatically modifies database parameters and indexing structures to correct data inconsistencies. By changing parameters such as key mappings, index values, and linkage references through automated scripts and database operations, the system achieves accurate data correction without requiring complex manual procedures or specialized intervention.
Data Source
AI summary
Methods and systems for subscriber data integrity assurance and auto-corrections are described herein. According to an implementation, the computer device may receive, from a client device, a request to perform a provisioning operation with respect to a first subscription in a subscription database. Prior to the provisioning operation, the computer device may obtain, from an index repository, a plurality of unique identities (UIDs) and associated indexes for a plurality of subscriptions of a telecommunication service provider. The computer device may further audit, based on the plurality of UIDs and associated indexes, a subscription database to generate an auditing result. If the auditing result indicates an error in the subscription database, the computer device may instruct the client device to refresh the impacted indexes and/or UIDs in the subscription database. If the auditing result indicates no error or the error is corrected, the computer device may perform the provisioning operation.