What are the main challenges in data quality management?
An example of an AI chatbot conversation about challenges in data quality management.
What are the main challenges in data quality management?
Some key challenges include data inconsistency, data duplication, and lack of standardization.
How can organizations address these challenges?
Organizations can implement data governance frameworks, use data profiling tools, and establish clear data standards.
What role does technology play in improving data quality?
Technology helps automate data cleansing, validation, and monitoring processes, enhancing overall data quality.
Can you give examples of tools used for data quality management?
Sure! Tools like Talend, Informatica, and Microsoft Azure Data Quality Services are commonly used.
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