Ticket Description:
Customer reports that Order 102 shows an unusually high amount.
SQL Query Used:
SELECT *
FROM orders
WHERE amount > 1000;
Findings:
The query returned Order 102 with an amount of 9999.99, which is significantly higher than typical order values.
Likely Root Cause:
This appears to be a data entry error or incorrect value entered into the system.
Recommended Next Steps:
- Confirm with the customer or sales team what the correct amount should be.
- Update the order amount if necessary.
- Add validation rules to prevent extremely large values in the future.
Ticket Description:
Order 103 appears in reports, but the customer details are blank.
SQL Query Used:
SELECT o.*, c.customer_name, c.region
FROM orders o
LEFT JOIN customers c
ON o.customer_id = c.customer_id
WHERE c.customer_id IS NULL;
Findings:
Order 103 has a customer_id of 4, but there is no matching customer record in the customers table. The customer fields return NULL.
Likely Root Cause:
This is a data integrity issue. The order was created with a customer ID that does not exist.
Recommended Next Steps:
- Identify the correct customer for this order.
- Update the order with the correct customer_id.
- Implement validation to prevent orders from being created with invalid customer IDs.
Ticket Description:
Finance team reports negative order amounts in their export.
SQL Query Used:
SELECT *
FROM orders
WHERE amount < 0;
Findings:
The query returned an order with an amount of -10.00.
Likely Root Cause:
This is likely a data entry mistake or a system bug that allowed negative values.
Recommended Next Steps:
- Correct the negative amount.
- Review system logic to ensure negative values are not allowed.
- Add validation to prevent negative amounts during order creation.
Ticket Description:
Some orders show 0.00 amount but are still in Pending status.
SQL Query Used:
SELECT *
FROM orders
WHERE amount = 0
AND status = 'Pending';
Findings:
The query returned an order with a 0.00 amount and a status of Pending.
Likely Root Cause:
This may be an incomplete order, a test order, or a user who abandoned the process before entering an amount.
Recommended Next Steps:
- Verify whether this order is legitimate or a test.
- Contact the user if needed.
- Add system checks to prevent orders from being saved with zero amounts unless explicitly allowed.