Unified Subscriber Profile Consolidation System
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Solution Overview
Problem
In mobile telecommunications networks, subscriber information is scattered across multiple data stores with different schemas, making it time-consuming for customer service representatives to access and consolidate this information, which hampers efficient customer service.
Innovation Solution
A system and method that interfaces with multiple data stores to consolidate subscriber information into a unified profile, using an interfacing component to request and reformat data into a common schema, and stores it in a unified subscriber profile data store, allowing for efficient retrieval and presentation of information upon user request.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If subscriber information is stored in multiple distributed data stores with different schemas, then the system can maintain data diversity and source-specific organization, but customer service representatives experience increased time to access and consolidate information
Solution Approach 1:
The system performs preliminary consolidation by creating unified subscriber profiles that aggregate data from multiple distributed data stores before customer service representatives need the information. The profile generator proactively consolidates data from HLR, VLR, GPRS, and IMS data stores into a unified format, so that when a representative requests subscriber information, it is already consolidated and ready for immediate presentation.
Solution Approach 2:
The unified subscriber profile acts as an intermediary layer between the distributed data stores and the customer service representatives. Rather than requiring representatives to query multiple data stores directly, the system introduces a consolidation layer that translates and aggregates data from different schemas into a unified view, mediating between the diverse data sources and the user interface.
2Reliability
If customer service representatives must query multiple data stores separately, then each data store maintains its own schema and data integrity, but the overall information retrieval process becomes complex and time-consuming
Solution Approach 1:
The system segments the information retrieval process into distinct functional components: data extraction from individual data stores, data transformation and consolidation, profile generation, and information presentation. This segmentation allows each component to handle specific tasks independently, maintaining data integrity at the source level while simplifying the overall retrieval process through automated orchestration.
Solution Approach 2:
The unified subscriber profile serves as an intermediary that manages the complexity of querying multiple data stores with different schemas. It handles the coordination of extracting data from HLR, VLR, GPRS, and IMS data stores, transforms the diverse data into a unified format, and presents a consolidated view to representatives, thereby shielding them from the underlying system complexity.
3Adaptability or versatility
If subscriber data is distributed across multiple data stores with different schemas, then the system can preserve source-specific data organization, but presenting a consolidated view requires additional processing and reformating operations
Solution Approach 1:
The system applies parameter changes by transforming data from different schemas into a unified schema. The profile generator modifies data parameters including data format, structure, and organization to create a consistent unified subscriber profile. This involves mapping data elements from source-specific schemas to a common schema, standardizing data types and formats across different data stores.
Solution Approach 2:
The system performs preliminary consolidation operations that aggregate and reformat data from multiple distributed data stores before it needs to be presented to customer service representatives. By proactively creating unified subscriber profiles that combine data from HLR, VLR, GPRS, and IMS data stores, the system prepares consolidated information in advance, improving retrieval efficiency when representatives need the data.
Data Source
AI summary
A method, system, and medium are provided for consolidating subscriber information from one or more data stored located within a mobile telecommunications network. The subscriber information may include, for example, a subscriber's service attributes or identifying information. As each data store may use a different protocol to communicate with the network, the system has the capability to identify the protocol used by each data store to allow for communication between each data store and the network. In addition, as each data store may store the subscriber information in a different format, the system identifies the schema used by each data store so that the subscriber information may be consolidated into a single schema to generate a unified subscriber profile, thus providing for efficient and effective customer service by a service provider.


