What is data quality and why is it important?

What is data quality and why is it important?

Data quality refers to the condition of a set of values of qualitative or quantitative variables. It's important because high-quality data leads to better decision-making and insights.

What are the key dimensions of data quality?

The key dimensions include accuracy, completeness, consistency, timeliness, and uniqueness. Each dimension plays a crucial role in assessing data quality.

How can I improve data quality in my organization?

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

What tools are available for data quality management?

There are several tools like Talend, Informatica, and Trifacta that help in data quality management by providing features for data profiling, cleansing, and monitoring.