Which statement reflects the belief in data's reliability for decision-making?

The choice emphasizing that "data must be complete for effective analysis" highlights a critical aspect of data reliability in decision-making. For data to effectively support decision-making processes, it needs to provide a comprehensive view of the situation at hand. Incomplete data may lead to misleading conclusions and could result in decisions that are ineffective or detrimental.

When data is viewed as complete, it enhances the confidence in the insights derived from it, thereby improving the overall reliability of the decision-making process. Complete data encompasses all relevant information, reducing the risk of overlooking important factors that could influence outcomes.

In contrast, other statements either undervalue the importance of data reliability or highlight ambiguities that could compromise sound decision-making. Acknowledging the necessity for complete data ensures that the decisions made are based on a solid foundation, ultimately fostering trust in the data being used.