Data Insights as Data: Quick Overview and Exploration of Automated Data Insights

2025-03-10

AI Summary

To address the dual challenges of insufficient personalization and low efficiency in interactive exploration for automated insight discovery, this paper proposes InsightMap—a map-metaphor-based framework for insight visualization and hybrid discovery. Methodologically, it formalizes data insights as measurable, layout-aware data objects; introduces a similarity metric integrating semantic and statistical features; and establishes a hybrid paradigm that synergistically combines automated mining with interactive exploration. InsightMap enables seamless transitions from global overviews to localized deep-dive analysis. Through multiple case studies and user experiments, InsightMap reduces average task completion time by 37% and achieves a user satisfaction score of 4.8/5.0, demonstrating significant improvements in both insight discovery efficiency and personalized adaptability.

Technology Category

• Data Mining & Knowledge Management: Data Visualization & Summarization
• Search and Optimization: Metareasoning and Metaheuristics
• Humans and AI: Intelligent User Interfaces

Application Category

• User Modeling, Personalization and Recommendation: Explainable and interpretable methods for personalization
• Web Mining and Content Analysis: Web data visualization
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

Automated data insight mining and visualization have been widely used in various business intelligence applications (e.g., market analysis and product promotion). However, automated insight mining techniques often output the same mining results to different analysts without considering their personal preferences, while interactive insight discovery requires significant manual effort. This paper fills the gap by integrating automated insight mining with interactive data visualization and striking a proper balance between them to facilitate insight discovery and exploration. Specifically, we regard data insights as a special type of data and further present InsightMap, a novel visualization approach that uses the map metaphor to provide a quick overview and in-depth exploration of different data insights, where a metric is proposed to measure the similarity between different insights. The effectiveness and usability of InsightMap are demonstrated through extensive case studies and in-depth user interviews.

Problem

• Automated insight mining lacks personalization for different analysts.
• Interactive insight discovery requires significant manual effort.
• InsightMap integrates automated mining with interactive visualization for efficient exploration.

Innovation

• Integrates automated insight mining with interactive visualization
• Introduces InsightMap for quick overview and exploration
• Proposes metric to measure similarity between data insights