Why is data quality management important?

Why is data quality management important?

Data quality management is crucial because it ensures that the data used for decision-making is accurate, consistent, and reliable.

What are the consequences of poor data quality?

Poor data quality can lead to incorrect insights, misguided strategies, and ultimately financial losses for a business.

How can organizations improve their data quality?

Organizations can improve data quality by implementing data governance policies, regular audits, and using data cleansing tools.

What role does technology play in data quality management?

Technology plays a significant role by providing tools for data validation, monitoring, and automation of data quality processes.

Can you give examples of data quality metrics?

Sure! Common data quality metrics include accuracy, completeness, consistency, timeliness, and uniqueness.