What is Data Quality Management?
An example of an AI chatbot conversation about data quality management concepts.
What is data quality management?
Data Quality Management (DQM) is the process of ensuring that data is accurate, consistent, and reliable.
Why is data quality important for businesses?
Data quality is crucial for businesses as it impacts decision-making, operational efficiency, and customer satisfaction.
What are the key components of data quality management?
The key components include data governance, data profiling, data cleansing, and data monitoring.
How can I improve data quality in my organization?
You can improve data quality by implementing data governance policies, regular audits, and using data quality tools.
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