Telecom Subscriber Data Analytics for Targeted Service Provisioning
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Solution Overview
Problem
Telecommunications network operators face challenges in understanding their subscribers' preferences and behaviors to provide targeted services, as they lack the capability to collect, organize, analyze, and apply vast amounts of heterogeneous and unstructured data effectively across their networks.
Innovation Solution
A method and system that collect subscriber and network-related information, store it in a repository, analyze it to determine subscriber interests and behaviors, and implement policy rules based on these insights, using a Diameter network infrastructure with components like Diameter signaling routers, policy and charging rules functions, and subscriber profile repositories to provide personalized services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If operators collect and store vast amounts of heterogeneous subscriber data, then the ability to provide targeted services improves, but the complexity of data management and organization increases
Solution Approach 1:
The patent segments the complex data management system into distinct functional modules: data collection from multiple sources, data storage in repositories, data analysis through mining operations, and service provisioning based on analyzed insights. This modular segmentation allows each component to handle specific aspects of data management independently, reducing overall system complexity while enabling comprehensive targeted service delivery.
Solution Approach 2:
The patent introduces intermediate processing layers including data repositories that store organized subscriber information and analytics engines that process raw data into actionable insights. These intermediaries act as mediators between raw data collection and service provisioning, simplifying the management complexity by creating structured intermediate representations of subscriber data that are easier to manipulate and utilize for targeted services.
2Measurement precision
If operators analyze enormous volumes of data to extract subscriber behavior information, then the precision of subscriber insights improves, but the time and computational resources required increase
Solution Approach 1:
The patent implements preliminary data organization and preprocessing steps where subscriber data is collected and stored in structured repositories before detailed analysis. By pre-organizing data into manageable formats and categories, the system reduces the computational burden during actual analysis phases, enabling faster extraction of behavioral insights while maintaining high precision through systematic data preparation.
Solution Approach 2:
The patent creates simplified copies or representations of subscriber data in structured formats within repositories, rather than directly analyzing all raw data. These copied structured representations preserve essential behavioral patterns while reducing computational complexity, allowing rapid analysis with high precision by working with optimized data copies rather than complete raw datasets.
3Loss of information
If operators implement comprehensive data collection from all network nodes, then the completeness of subscriber information improves, but the system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a universal data collection framework where standardized interfaces and protocols enable consistent data gathering from diverse network nodes including base stations, core network elements, and service platforms. This universal approach allows the same data collection mechanism to operate across multiple node types, ensuring complete subscriber information acquisition while reducing implementation complexity through standardization rather than requiring custom solutions for each node type.
Data Source
AI summary
Methods, systems, and computer readable media for providing targeted services to telecommunications network subscribers based on information extracted from network signaling and data traffic are disclosed. According to one aspect, the subject matter described herein includes a method for providing targeted services to telecommunications network subscribers based on information extracted from network signaling and data traffic. The method includes collecting subscriber and network related information from nodes in a telecommunications network, storing the subscriber and network related information in a repository for storing and maintaining that data, analyzing the information stored in the repository to determine subscriber interests, behaviors, and/or preferences, creating policy rules based on determined subscriber interests, behaviors, and/or preferences, and implementing the created policy rules in response to network events.