Answer :
Final answer:
Data quality evaluation is essential for informed business decisions, ensuring data accuracy and reliability.
Explanation:
Data quality is the process of assessing the suitability of a dataset for its intended purpose. It involves ensuring accuracy, completeness, and reliability of the data collected. Stakeholders should evaluate data based on its fit for purpose and its alignment with the construct it intends to measure.
Evaluation of data quality is crucial in business decision-making as it impacts the reliability of the insights derived from the data. Attention to data errors, sources, and procedures used in data collection is vital for maintaining high data quality standards.
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