This Power BI dashboard titled “Company Purchase Orders – Spend Analysis Dashboard” provides a comprehensive overview of a company’s purchase data, helping in spend analysis across different dimensions such as quantity, cost, item, category, buyer, and supplier. Here’s a breakdown of the various sections:
Dataset Link : https://www.kaggle.com/datasets/shahriarkabir/company-purchasing-dataset
🔢 KPI Cards (Top Metrics)
- Total Qty Purchased:
1550 - Total Cost Paid:
939.37K(likely in currency such as USD) - Avg Unit Price:
2.05K - Total Number of Transactions:
195
These give an at-a-glance summary of the company’s overall procurement performance.
📈 Total Amount Spent by Month and Category
- Line chart showing monthly trends split by category:
Electronics,Software, andStationery. - Helps identify seasonal patterns or fluctuations in category-wise spending.
📊 Sum of TotalCost and Average of UnitPrice by Buyer
- Combination of bar (TotalCost) and line chart (Average UnitPrice) by Buyer.
- Shows who is spending the most and at what average cost per unit.
- Useful to evaluate buyer efficiency or detect outliers.
🏢 Sum of TotalCost and Count of TransactionID by Supplier and Category
- A clustered column and line chart by Supplier (e.g., TI, QDL, CC, etc.).
- Color-coded by category.
- Helps assess supplier contributions and transaction frequency.
🧾 Sum of TotalCost by ItemName (Donut Chart)
- Shows proportional spending on items like
Laptop,Annual,Monitor,Notebook. - Great for identifying top cost drivers.
📦 Sum of Quantity by ItemName (Donut Chart)
- Represents volume purchased of each item, e.g.,
Laptop,Monitor, etc. - Lets you compare quantity vs. cost insights.
🎛️ Filter Panels (Right Sidebar)
- Dynamic slicers for:
- Category
- Buyer
- Supplier
- ItemName
These allow users to interactively filter the dashboard for deep-dive analysis.
📚 Learning Resource
Learn Power BI @ Slidescope.com
💡 Insights You Can Gain
- Identify top-spending months and categories.
- Evaluate individual buyer performance.
- Discover which suppliers are most used and their transaction counts.
- Track which items are contributing the most to cost vs quantity.
- Use filters to do root cause analysis or procurement optimization.

