← All case studies Analytics · Tableau · MBA Capstone

An executive retail dashboard built around decisions, not charts

For my MBA data-visualization capstone at Central Michigan University, I built a Tableau dashboard on a national retail dataset — designed backwards from the three questions a leadership team actually asks.

Role
Analyst — design & build
Context
MBA Business Data Analytics, CMU
Data
Multi-year national retail orders dataset
Tool
Tableau
TL;DR

An executive KPI dashboard answering: where is growth coming from, which product lines destroy margin, and which customers matter most. KPI banner, regional YoY trends, a state-level sales map, sub-category profitability, and top customers by lifetime profit — one screen, decision-ready.

The business questions

Most student dashboards show everything the data contains. I designed this one the way a business would commission it — starting from the decisions it needs to support:

  1. Where is growth coming from? → Regional sales trends with year-over-year growth rates, plus a state-level sales map to localize momentum.
  2. What sells well but destroys profit? → Profit by sub-category, exposing lines with strong revenue and negative margin — the classic retail trap where discounting quietly erases profitability.
  3. Which customers actually matter? → Top customers ranked by lifetime profit (not revenue), the right lens for retention and account priorities.

Design decisions

Add: full-size screenshot of the capstone dashboard, and publish it to Tableau Public so recruiters can interact with it — then link it here

Live Tableau work: sales-pipeline funnel chart

Interact with a build from Tableau's Workout Wednesday community challenge (2023 Week 5) — a sales-pipeline funnel tracking opportunity value and conversion through pipeline stages. Funnel charts are deceptively hard in Tableau; this one is a from-scratch build, live below.

Open the viz full-size on Tableau Public ↗

Insights the dashboard surfaces

Why this matters for marketing analytics roles

The same discipline transfers directly to marketing: campaign dashboards should rank on contribution, not spend; channel views should show growth against comparable periods; and every chart should map to a budget decision someone can actually make. This is how I approached reporting at The Rugs Story and SixSails, too.