What are data quality metrics and why are they important?
Data quality metrics are standards used to measure the accuracy, completeness, and reliability of data. They are crucial for ensuring that data-driven decisions are based on high-quality information.
Can you give me some examples of data quality metrics?
Sure! Common data quality metrics include accuracy, completeness, consistency, timeliness, and uniqueness.
How can I improve data quality in my organization?
Improving data quality can involve implementing data governance policies, regular data audits, and using data cleansing tools.
What tools can help with monitoring data quality?
There are several tools available, such as Talend, Informatica, and Apache NiFi, which can help monitor and improve data quality.
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