What are some common data quality issues and their solutions?
An example of an AI chatbot conversation about common data quality issues and solutions.
What are some common data quality issues that organizations face?
Common data quality issues include inaccuracies, duplicates, missing values, and inconsistent formats.
How can we resolve these data quality issues?
To resolve these issues, you can implement data validation rules, use deduplication tools, and standardize data formats.
What tools can help with data quality management?
Some popular tools include Talend, Informatica, and Microsoft Power BI for data quality management.
Can you give examples of how to standardize data formats?
Sure! You can standardize date formats to 'YYYY-MM-DD' or ensure all phone numbers follow a specific pattern.
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