Data quality refers to the accuracy, consistency, and reliability of your data. It’s essential because it underpins dependable insights and seamless business operations. However, inaccurate data can lead to process breakdowns, such as invoicing errors or unsuccessful transactions, which itself can lead to a drop in customer satisfaction and an increase in costs.

Improving data quality isn’t just about regular validation and cleansing, it also involves ongoing data quality reporting to identify and track issues, followed by root cause analysis to understand the underlying problems, and finally, corrective actions to fix them.

This way, data quality supports precise business decisions and smooth operations.