Beyond Visualization: Building Decision Intelligence Through Iterative Dashboard Refinement
A four-iteration Power BI study shows how exploratory charts can become a decision-support system for diagnosing profitability, margin, discount, shipping, and market performance.
This study follows four iterations of a Power BI dashboard built around a fictional retailer experiencing a decline in profitability. Each iteration moves beyond exploratory visualization toward clearer decision support for business leaders.
The refinement process connects margin, market, discount, and shipping-cost signals into a more coherent narrative. The paper presents the approach as a reusable framework for turning dashboard feedback into stronger decision intelligence.
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