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SQL Window Functions for MoM Growth
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SQL Window Functions for MoM Growth

MediumSQL · PostgreSQL

Problem

Business context

McDonald's Global Office in India wants to identify which menu item is accelerating fastest within each product category. The analysis should compare monthly sales totals for each item.

Task

Write a PostgreSQL query using window functions to return the item with the highest month-over-month sales growth in each category.

Requirements

  1. Join products with sales and aggregate sales by item and calendar month.
  2. Use LAG to retrieve the previous available month's sales for each item.
  3. Calculate percentage growth, exclude items without a prior month or with zero prior sales, and rank items within each category.
  4. Return only the highest-growth item per category, ordered by category.

Schema

products
ColumnTypeDescription
product_idPKINTUnique menu item identifier
item_nameVARCHAR(100)Menu item name
categoryVARCHAR(50)Menu item category
sales
ColumnTypeDescription
sale_idPKINTUnique sales record identifier
product_idINTMenu item referenced by the sale
sale_dateDATEDate on which the sale occurred
sales_amountDECIMAL(12,2)Sales value for the record
Tablesproductssales
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