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Supply Chain Management Dashboard Part 2 – Depth, Insights & Story Telling

You already have strong core visuals. Now the goal is depth, insights, and storytelling, not clutter.

Here is Part 1 : https://colorstech.net/power-bi/supply-chain-management-dashboard-tutorial/

Below are high-value visuals you can add without repeating existing insights.

What you already have (for clarity)

  • KPI cards (Cost, Quantity, Lead Time, Defect Rate)
  • SKU count by supplier
  • Best lead time by supplier
  • Most products supplied
  • Defect rate by inspection result
  • Revenue by supplier
  • Revenue by location & product type
  • Cost matrix (Supplier × Location)

That’s solid. Now let’s level it up.

🔥 Recommended Additional Visuals (Choose 4–6 max)

1️⃣ Lead Time Trend Over Time (Line Chart)

Why:
You currently show average lead time, but not how it changes.

Insight unlocked:

  • Is lead time improving or worsening?
  • Did a supplier cause delays in certain months?

Visual:

  • X-axis: Month
  • Y-axis: Avg Lead Time

2️⃣ Defect Rate by Supplier (Bar Chart)

Why:
You show defect rate by inspection result, not who causes defects.

Insight unlocked:

  • Which supplier is risky?
  • High volume + high defect = red flag

3️⃣ Cost vs Quantity Scatter Plot

Why:
This is a very professional analytics visual.

Insight unlocked:

  • High cost but low quantity suppliers
  • Best value suppliers (high qty, low cost)

Axes:

  • X: Ordered Quantity
  • Y: Total Cost
  • Bubble size: Defect Rate (optional)

4️⃣ Top 5 & Bottom 5 Suppliers (Ranking Visual)

Why:
Management loves rankings.

Insight unlocked:

  • Best suppliers to scale
  • Worst suppliers to renegotiate or drop

You can rank by:

  • Total Cost
  • Avg Lead Time
  • Avg Defect Rate

5️⃣ Contribution % by Supplier (Donut or 100% Bar)

Why:
Absolute numbers don’t show dominance.

Insight unlocked:

  • Over-dependency on one supplier
  • Risk concentration

Metric examples:

  • % of Total Cost
  • % of Ordered Quantity

6️⃣ Pending Inspection Aging (Bar or Table)

Why:
You already show Pending, but not how long it stays pending.

Insight unlocked:

  • Process bottlenecks
  • Quality team delays

This is operations gold.

7️⃣ Product Type Performance Summary

Why:
You have slicers, but not side-by-side comparison.

Insight unlocked:

  • Which category is most expensive?
  • Which has highest defects?

KPIs by Product Type:

  • Avg Cost
  • Avg Lead Time
  • Avg Defect Rate

Less lead time is better.
Shorter lead time means faster delivery, lower inventory holding costs, reduced risk of stock-outs, and higher customer satisfaction. Longer lead time increases operational risk, ties up working capital, and makes the supply chain less responsive to demand changes.

We need 2 small extra measures (very simple ones). for Part 5

Power BI cannot calculate % contribution automatically the right way without them.

✅ Why extra measures are needed (simple)

  • Absolute values (Total Cost, Quantity) show size
  • % contribution shows dependency & risk
  • DAX must remove supplier filter to get correct total

Without extra measures → wrong percentages.

✅ Measures you need (only 2)

1️⃣ % of Total Cost by Supplier

Total Cost % =
DIVIDE(
    [Total Cost],
    CALCULATE([Total Cost], ALL(SupplyChainData[Supplier]))
)

2️⃣ % of Ordered Quantity by Supplier

Ordered Quantity % =
DIVIDE(
    [Ordered Quantity],
    CALCULATE([Ordered Quantity], ALL(SupplyChainData[Supplier]))
)

📊 How to use them in visuals

Donut / 100% Bar

  • Legend / Axis: Supplier
  • Values:
    • Total Cost % or
    • Ordered Quantity %
  • Format as Percentage

🎯 Business Insight You Unlock

  • One supplier = 45% cost → high dependency risk
  • One supplier = 50% quantity → single point of failure
  • Supports supplier diversification strategy