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This paper presents SANA, a diagnostic ablation framework for exploratory question answering (EQA) over data lakes, which decomposes end-to-end agent failures into search, planning, data analysis, and policy components. Evaluations on LakeQA and KramaBench reveal data analysis as a consistent bottleneck, with search being a major limitation in large-scale settings.