Synthetic Data Packets for Cross-Provider KPI Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analytics systems face challenges in accurately analyzing data packets from different network service providers due to variations in format and sequence, which hinders the determination of key performance indicators (KPIs).
Innovation Solution
A computer system employs network service provider-specific data adapters to decrypt, extract, and consolidate data packets into a uniform RFC or 3GPP-compliant format, generating synthetic data packets for consistent analysis and KPI generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data packets from different network service providers are analyzed directly, then the analytics system can process data in real-time, but the analysis accuracy deteriorates due to format variations and sequencing differences
Solution Approach 1:
The patent introduces an intermediary component that receives data packets from multiple network service providers and transforms them into a standardized format before analysis. This intermediary layer handles format variations and sequencing differences, allowing the analytics system to process data accurately without directly dealing with the complexity of multiple proprietary formats.
Solution Approach 2:
The patent segments the data processing workflow into distinct stages: reception of proprietary format packets, transformation to standardized format, and analysis. This segmentation isolates the format conversion complexity from the analysis process, enabling accurate measurement while managing overall system complexity.
2Adaptability or versatility
If proprietary data formats from different network service providers are used, then each provider can maintain their own data structure, but the analytics system cannot accurately determine KPIs due to format inconsistencies
Solution Approach 1:
The intermediary component acts as a mediator that accepts various proprietary formats from different providers while enforcing a standardized internal format for KPI determination. This allows providers to maintain their format flexibility while ensuring accurate, consistent analysis across all data sources.
3Productivity
If data packets are processed without standardization, then the processing speed is maintained, but the analytics system cannot generate meaningful KPIs due to format variations
Solution Approach 1:
The patent applies preliminary action by standardizing data formats before the analysis process begins. The intermediary component transforms all incoming packets to a common format in advance, ensuring that subsequent analysis can proceed at high speed without losing information quality or requiring reprocessing.
Data Source
AI summary
A method is disclosed. A first data packet is received. Data is extracted from the first data packet. A first synthetic data packet is generated from data of the first data packet. A second data packet is received. Data is extracted from the second data packet. A key performance indicator is generated from data of the first and second synthetic data packets.