Automated Research Reporting Narrative System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for analyzing performance metrics of digital content are manual, time-consuming, and labor-intensive, making it difficult for media providers to efficiently process and report on performance data across multiple markets and geographic locations.
Innovation Solution
A computer-implemented method and system that uses a trained model to generate natural language narrative reports based on performance data, allowing for automated data analysis, insight discovery, and standardized communication of media asset performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis methods are used to process performance metrics, then detailed analysis can be performed, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical analysis processes with an automated computer-based system that uses machine learning models and natural language generation to analyze performance metrics and generate reports automatically, eliminating the need for human analysts to manually process data while maintaining comprehensive analysis capabilities
Solution Approach 2:
The system enables self-service automated reporting where the computer system independently collects data, analyzes performance metrics using trained models, generates natural language narratives, and delivers reports without requiring human intervention, allowing the organization to serve its own reporting needs automatically
2Adaptability or versatility
If additional performance metrics and geographic locations are added to improve reporting comprehensiveness, then more insights are available, but the complexity and resources required increase
Solution Approach 1:
The patent creates a universal automated reporting system that can handle multiple data sources, geographic locations, and performance metrics through a single platform using trained machine learning models, eliminating the need for separate manual analysis processes for each metric or location while maintaining comprehensive coverage
Solution Approach 2:
The system dynamically adjusts reporting parameters and data collection scope based on organizational needs, allowing flexibility to add or remove metrics and locations without fundamentally changing the system architecture, as the automated platform can adapt to varying reporting requirements through configuration rather than structural modification
3Productivity
If more resources are allocated to process performance data from multiple markets, then reporting quality improves, but costs and operational complexity increase
Solution Approach 1:
The patent replaces human analysts and manual processes with an automated computer-based system that processes performance data from multiple markets simultaneously without requiring additional human resources, thereby increasing reporting capacity while reducing or eliminating the need for additional staff and operational overhead
Data Source
AI summary
The invention includes systems and methods to provide a research reporting narrative, in particular, for research metrics. Specifically, the invention includes content performance metrics and contributing factors to performance, The invention collects, analyzes, and places into a narrative format, data from research that is not easily digestible. The invention provides a quick and efficient report for absorption by users.