I2I-STRADA -- Information to Insights via Structured Reasoning Agent for Data Analysis
SaiBarath Sundar, Pranav Satheesan, Udayaadithya Avadhanam

TL;DR
I2I-STRADA is a structured reasoning agent architecture that models the cognitive workflow of data analysis, improving planning coherence and insight generation over prior multi-agent systems.
Contribution
The paper introduces I2I-STRADA, a novel agentic framework that formalizes the reasoning process in data analysis through modular sub-tasks, enhancing interpretability and effectiveness.
Findings
Outperforms prior systems in planning coherence.
Achieves better insight alignment on benchmarks.
Demonstrates the importance of structured workflows.
Abstract
Recent advances in agentic systems for data analysis have emphasized automation of insight generation through multi-agent frameworks, and orchestration layers. While these systems effectively manage tasks like query translation, data transformation, and visualization, they often overlook the structured reasoning process underlying analytical thinking. Reasoning large language models (LLMs) used for multi-step problem solving are trained as general-purpose problem solvers. As a result, their reasoning or thinking steps do not adhere to fixed processes for specific tasks. Real-world data analysis requires a consistent cognitive workflow: interpreting vague goals, grounding them in contextual knowledge, constructing abstract plans, and adapting execution based on intermediate outcomes. We introduce I2I-STRADA (Information-to-Insight via Structured Reasoning Agent for Data Analysis), an…
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Taxonomy
TopicsData Mining Algorithms and Applications
