Interactive Data Analysis Interface with AI Insights and Report Generation
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Solution Overview
Problem
Organizations face challenges in effectively utilizing vast amounts of data due to the sheer volume and complexity, requiring skilled analysts to discover insights, which can be hindered by the number of visualizations and difficulties in consolidating information from disparate sources, making it difficult to generate efficient reports.
Innovation Solution
An interactive interface that utilizes processors to manage visualizations, generate insight items based on data models, and display them in panels, allowing users to select and switch between visualizations and generate reports, with features like insight panels, scratch panels, and report panels to facilitate data analysis and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If organizations employ various tools to generate visualizations of their data, then their understanding of critical business operations is improved, but the sheer number of visualizations makes it difficult to discover useful commonalities and consolidate information
Solution Approach 1:
The patent combines multiple visualizations and their associated insights into a single consolidated report. The report generation module aggregates information from multiple visualization panels, insight panels, and scratch panels into one unified document, eliminating the need to manually review numerous separate visualizations and enabling efficient consolidation of information across disparate data sources.
2Loss of information
If skilled or specialized data analysts are employed to discover insights from visualizations, then valuable insights are obtained, but the cost and time required for analysis increases
Solution Approach 1:
The system enables self-service data analysis by providing automated insight generation through AI/ML models. These models automatically analyze data visualizations and generate actionable insights without requiring skilled data analysts, allowing business users to independently discover valuable insights from their data while significantly reducing the time and cost associated with manual analysis.
Solution Approach 2:
The patent replaces the mechanical process of manual insight discovery by skilled analysts with automated AI/ML-based insight generation. The system uses computational algorithms to automatically interpret visualizations, identify patterns, and generate insights, substituting human analytical effort with automated intelligent systems that operate faster and at lower cost.
3Quantity of substance
If the quantity of data collected by organizations increases, then more comprehensive business information is available, but it becomes difficult to effectively utilize the vast collections of data to improve business practices
Solution Approach 1:
The patent introduces an intermediary layer consisting of automated insight generation models and report consolidation mechanisms that bridge the gap between vast amounts of raw data and actionable business insights. These intermediary systems process, analyze, and synthesize large volumes of data from multiple sources, transforming complex data collections into easily interpretable reports that can directly inform business decisions without requiring users to manually navigate the underlying data complexity.
Data Source
AI summary
A method (at a computer system including one or more processors and memory storing one or more programs) includes detecting a user input to display a first visualization, and in response to detecting the user input to display the first visualization, concurrently displaying the first visualization and an insight item. The first visualization is associated with data from a data source, and the insight item is generated based on the data from the data source. The insight item includes an insight visualization and an associated natural language narrative. The natural language narrative explains a meaning for the insight item. The natural language narrative also explains a relevance of one or more trends associated with the insight item.