Is data quality more important than data quantity?
Yes, data quality is often more important than quantity. High-quality data leads to better insights and decisions.
Can you explain why quality is prioritized over quantity?
Certainly! Quality data ensures accuracy, relevance, and reliability, which are crucial for effective analysis.
What are some ways to improve data quality?
You can improve data quality by implementing data validation, regular audits, and using standardized formats.
How does poor data quality affect decision-making?
Poor data quality can lead to incorrect conclusions, wasted resources, and ultimately, poor decision-making.
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