Imagine you are presented with the challenge of analyzing information from various sources, such as transaction records, user activity logs, and fraud alerts. How would you tackle the task of addressing a data analytics issue that involves these varied datasets? What procedures would you follow to clean, merge, and derive valuable insights that could enhance the system's efficiency?
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