Intelligence Engine for Cellular Network Data Analysis
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Solution Overview
Problem
The complexity of managing and utilizing cellular network data across heterogeneous sources, such as different mobile network operators and interoperation providers, hinders mobile network operators from using this data in real-time to enhance end-user experience and operational efficiency.
Innovation Solution
A real-time intelligence system that collects, analyzes, and utilizes cellular network data, providing comprehensive data processing, automatic alerting, and rule-based proactive actions to enhance customer care, network monitoring, roaming management, sales, marketing, and finance through a configurable intelligence engine and data adaptor system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cellular network data is collected from multiple heterogeneous sources (different mobile network operators and interoperation providers), then the quantity and diversity of available data increases, but the complexity of data management and processing increases
Solution Approach 1:
The patent introduces a centralized data management platform that acts as an intermediary between multiple heterogeneous network data sources. This platform standardizes data collection, processing, and analysis across different mobile network operators and interoperation providers, reducing the complexity that would otherwise arise from managing diverse data sources directly.
Solution Approach 2:
The system employs a universal data processing framework that can handle multiple types of network data from various sources through standardized interfaces. This multi-functional approach allows the same processing mechanisms to work across different data formats and sources, reducing overall system complexity despite the diversity of inputs.
2Productivity
If real-time data processing and analysis is implemented across multiple network sources, then the ability to enhance end-user experience and operational efficiency improves, but the computational resources and processing time required increase
Solution Approach 1:
The patent divides the real-time data processing system into segmented functional modules, each handling specific aspects of data analysis. This segmentation allows computational tasks to be distributed and optimized independently, reducing overall resource consumption while maintaining real-time processing capabilities for enhancing operational efficiency.
3Measurement precision
If comprehensive data collection from heterogeneous sources is performed, then the accuracy and completeness of network analysis improves, but the difficulty of integrating and standardizing data from different sources increases
Solution Approach 1:
The patent implements data standardization mechanisms that transform heterogeneous data from different network sources into a homogeneous format. This homogenization process maintains the accuracy and completeness of network analysis by ensuring all data follows consistent schemas, while significantly reducing the difficulty of integration and measurement across diverse sources.
Data Source
AI summary
A method of providing enhanced mobile communications services through collecting, analyzing, and utilizing cellular network data is described. The method configures an intelligence engine based on a set of rules. The method receives the set of rules through a user interface or generates the set of rules through performing an analysis on the network data by the intelligence engine. The method receives network data events and correlates the received network data events. The intelligence engine determines an action in response to a correlated network data event. The action includes sending a text message or email containing an offer to a mobile communications services subscriber, or updating a database. The method then performs the action.