An executive-level Tableau dashboard designed to monitor retail performance through core KPIs and breakdowns by region and category. It supports fast, data-driven decisions by combining top-line metrics with interactive comparisons and time-based trends.
- Customers: 247
- Orders: 296
- Sales: $180.5K
- Profit: $23K
- Quantity: 3,053
Retail order-level dataset with customer, order, category, region, sales, profit, and quantity fields.
Grain: Order line level.
Timeframe: Filtered by Year of Order Date.
- Which regions drive the most sales?
- Which categories contribute the most revenue and profit?
- How does performance change over time?
- How do Year and Region filters shift executive insights?
- Sales by Region (bar)
- Sales Distribution by Category (pie)
- Sales & Profit by Category (comparative bars)
- Sales Trend Over Time (time-series)
- Interactive filters for Region and Year
- West leads regional sales with $107,483, ahead of East ($41,705), South ($17,309), and Central ($14,007).
- Technology is the top revenue category at $72,708, followed by Furniture ($59,219) and Office Supplies ($48,577).
- Profit is strongest in Technology ($13,997), compared with Office Supplies ($6,894) and Furniture ($2,341).
- The monthly trend suggests seasonality and potential campaign-driven spikes.
- Defend and grow the West region through inventory depth, service reliability, and targeted upsell bundles.
- Improve weaker regions using localized promotions and distribution/availability reviews.
- Optimize category margins by reviewing pricing, supplier cost, and discount strategy.
- Align inventory and marketing with peak months to reduce stockouts and lost sales.
- Expand Technology attach-rate via accessories, warranties, and cross-sell offers.
- Tableau
- Executive KPI reporting
- Regional and category performance analysis
- Interactive dashboard development
- Stakeholder-focused storytelling
- Just Store Dashboard.twbx
- README.md
- Download the .twbx file.
- Open in Tableau Desktop.
- Use Year and Region filters to explore performance shifts.
