Why are data quality metrics important in a data-driven organization?
- To automate data processing
- To ensure reliable decision-making
- To increase data storage capacity
- To reduce data visualization efforts
Data quality metrics are crucial in a data-driven organization because they ensure the reliability and accuracy of data used for decision-making. High-quality data leads to more reliable insights and conclusions, which in turn support better decision-making processes. By measuring and monitoring data quality metrics, organizations can identify and address data issues proactively, improving the overall effectiveness of data-driven strategies and initiatives.
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