Automated Narrative Generation System for Data Analysis
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Solution Overview
Problem
Existing methods for generating narratives from data sets are time-consuming and require significant resources, and complex analytics are often difficult for non-technical users to understand or communicate effectively.
Innovation Solution
An automated system that uses machine learning and natural language processing to generate customized narratives based on user data, allowing for efficient deployment and analysis of narrative effectiveness without relying on external departments or vendors, and enables tracking of user responses for continuous refinement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual methods are used to analyze data and generate narratives, then the narratives can be customized and understood by users, but the process requires extensive time and resources
Solution Approach 1:
The patent replaces manual mechanical analysis processes with automated machine learning systems. The ML models automatically ingest data, generate insights, and create natural language narratives without human intervention, dramatically reducing the time and resources required while maintaining narrative quality and customization
Solution Approach 2:
The system enables self-service narrative generation where the automated platform independently performs data analysis, insight generation, and narrative creation. Users simply provide data and select templates, while the system autonomously completes the entire narrative generation process without requiring external data science expertise
2Loss of information
If complex analytical tools are used to process data, then deeper insights can be obtained, but the results become difficult for non-technical users to understand and communicate
Solution Approach 1:
The patent introduces natural language narratives as an intermediary layer between complex data analytics and end users. The system translates technical analytical findings into plain English narratives that explain insights in business-contextualized language, making complex data understanding accessible to non-technical stakeholders while preserving the depth of analytical insights
Solution Approach 2:
The system dynamically adjusts narrative complexity and detail based on user profiles and preferences. By changing parameters such as narrative length, technical depth, and contextualization level, the platform delivers appropriately simplified or detailed insights matched to each user's comprehension needs while maintaining analytical rigor
3Adaptability or versatility
If external departments or vendors are used to create narratives, then specialized expertise can be leveraged, but internal control and customization are reduced
Solution Approach 1:
The patent creates a universal narrative generation platform that consolidates multiple specialized functions into a single system. The platform performs data ingestion, analysis, insight generation, narrative creation, and distribution across different departments and use cases, eliminating the need for separate external tools while maintaining versatility and customization across diverse business contexts
Data Source
AI summary
Methods and systems described in this disclosure are directed to electronically generating narratives and tracking a user's actions in responses to receiving the narratives. The disclosed system can rank narratives for effectiveness of a narrative based on the responses. In some embodiments, the narratives can be classified into categories based on criteria pertaining to user population data or user-specific data.