Telecommunications Data Processing System for Customer Experience Events
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current telecommunications networks face challenges in efficiently collecting and analyzing feedback on service quality from subscribers, as existing data management systems generate proprietary data formats that are not compatible, making it difficult to understand and improve overall customer experience.
Innovation Solution
A method and apparatus that receive data from multiple source systems with different data models, process the data using defined rules to generate customer experience events, and use these events to identify and address issues such as call drops, network utilization, and device settings, thereby improving service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple source systems with different data models, then the quantity and variety of data increases, but the complexity of processing and analyzing the data increases
Solution Approach 1:
The patent introduces an intermediary component (data processing system with standardized data models) that mediates between multiple source systems with different proprietary data formats and the analysis functionality. This intermediary translates and standardizes data from various sources into a common format, enabling integration without requiring complex custom processing for each source system.
Solution Approach 2:
The patent creates a universal data processing framework that can handle multiple types of data sources and formats through standardized data models. The system is designed to be multi-functional, accommodating different source systems (network elements, subscriber databases, billing systems) through a common processing architecture that applies universally across various data types.
2Adaptability or versatility
If proprietary data formats from different suppliers are used, then each system can maintain its own data structure, but compatibility and understanding of customer experience deteriorates
Solution Approach 1:
The patent transforms data from various proprietary formats by changing its parameters - converting different data structures, schemas, and formats into a standardized representation. This parameter transformation maintains the essential information while making it compatible across different source systems, preventing information loss about customer experience.
3Ease of operation
If feedback is collected only when subscribers contact customer service, then the effort required from subscribers is minimized, but the timeliness and overall quality of service monitoring deteriorates
Solution Approach 1:
The patent implements automated feedback mechanisms that continuously monitor service quality parameters from network elements and source systems. Instead of waiting for subscriber-initiated feedback, the system automatically collects, processes, and analyzes service quality data, generating insights about customer experience without requiring subscriber action. This creates a continuous feedback loop that detects issues in real-time.
Data Source
AI summary
There is provided improved management of a communications network including a plurality of sub-systems for providing services to subscribers. Data is received from a plurality of source systems in a communications network, said source systems encoding data according to different data models. Rules of processing the data received data from each of the source systems are defined. At least one customer experience event of the communications network is generated on the basis of the rules.