Telecommunication Subscriber Metric Determination via Database Comparison
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Solution Overview
Problem
Telecommunications carriers face challenges in accurately and efficiently determining subscriber metrics, such as market share and subscriber activation/deactivation rates, due to the complexity of tracking active service identifiers across different carriers and networks, leading to potential errors and resource inefficiencies.
Innovation Solution
The system compares active service identifiers from communication records to databases like the Local Exchange Routing Guide and Local Number Portability database to determine carrier associations, aggregates data to calculate subscriber metrics, and uses statistical analysis to estimate metrics for unmeasured subscribers, reducing errors and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If carriers manually track and analyze subscriber data across multiple networks, then they can obtain subscriber metrics, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent introduces an intermediary system that automatically collects, aggregates, and analyzes subscriber data from multiple networks. This intermediary processing layer eliminates manual tracking efforts, reducing both the time required to obtain metrics and the potential for human error while maintaining or improving accuracy through systematic data handling.
Solution Approach 2:
The patent replaces manual mechanical processes of data collection and analysis with automated electronic systems. By substituting human-operated tracking methods with computerized data aggregation and statistical analysis, the system achieves faster metric determination with higher precision, directly addressing the contradiction between time loss and measurement precision.
2Measurement precision
If carriers use multiple databases and complex analysis methods to determine subscriber metrics, then accuracy improves, but system complexity increases
Solution Approach 1:
The patent creates a universal data processing system that handles multiple functions: collecting data from various networks, querying different databases (LERG, LNP), aggregating subscriber information, and performing statistical analysis. This multi-functional system achieves high measurement precision through comprehensive data processing while managing complexity by integrating these functions into a unified platform rather than separate complex systems.
Solution Approach 2:
The patent segments the complex data processing task into distinct modular components: data collection modules for different networks, database query modules for LERG and LNP, data aggregation modules, and statistical analysis modules. This segmentation allows each component to be optimized independently for accuracy while the overall system manages complexity through modular architecture, making the system more maintainable and easier to understand.
3Productivity
If carriers reallocate marketing resources based on timely subscriber metrics, then resource efficiency improves, but the requirement for frequent accurate measurements increases system demands
Solution Approach 1:
The patent implements periodic data collection and metric determination cycles, gathering subscriber data at regular intervals and updating metrics systematically. This periodic approach enables carriers to reallocate marketing resources based on timely updates, improving resource allocation efficiency while managing system resource consumption by processing data in organized batches rather than continuously, thus balancing productivity with energy usage.
Data Source
AI summary
Information associated with a communication is gathered at a switching point during the routing process to determine subscriber metric information associated with an active service identifier. The information relates to the originator of the communication and the target. The information is compared to a provider database to determine a carrier originally associated with the active service identifier. The information is then compared to a porting database to determine if the active service identifier was ported, and if so, to which carrier the active service identifier was ported. A determination can then be made regarding which carrier is associated with the active service identifier. Various systems and methods may be used to determine a number of subscribers, a number of new subscribers, and a number of disconnected subscribers for a given carrier in a given market.