Finding the customer who made the most orders
1.0 E-Commerce analytics 101
In this blog, we’ll walk through a basic data analytics problem and see how we can use an SQL query to solve it.
Suppose we have a table that contains data on customer orders at an online store. The table includes the following columns:
- Customer ID: A unique identifier for each customer
- Order ID: A unique identifier for each order
- Order Date: The date on which the order was placed
- Product: The name of the product that was ordered
- Quantity: The number of units of the product that were ordered
- Price: The price of the product
Now suppose we want to answer the following question: “Which customers have placed the most orders in the last month?” To answer this question, we can use the following SQL query:
SQL Query :
SELECT Customer ID, COUNT(*) as Order Count
FROM orders
WHERE Order Date >= DATEADD(month, -1, GETDATE())
GROUP BY Customer ID
ORDER BY Order Count DESC;
This query first filters the orders table to only include orders that were placed in the last month (using the DATEADD and GETDATE functions). It then groups the orders by customer ID and counts the number of orders for each customer (using the COUNT function). Finally, it orders the results by the number of orders in descending order, so that the customers with the most orders appear at the top of the list.
This is just a basic example, but it illustrates how SQL can be used to solve a variety of data analytics problems.