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AP7.2 (LO 2) Planning an ADA application Timothy Steele, a recent college graduate and new audit staff member, is having lunch with Michael Watts, an

AP7.2 (LO 2) Planning an ADA application Timothy Steele, a recent college graduate and new audit staff member, is having lunch with Michael Watts, an audit senior. Both are working on the audit engagement of a retailer that has operations in North America and Europe. Timothy says to Michael, I have been doing some reading about audit data analytics, and there is something I don't understand. While I understand the importance of internal controls to the reliability of the client's data, I also keep reading that the auditor needs to clean the data before it can be analyzed. I don't understand what people are talking about with when they talk about clean data. Is there a difference between clean and dirty data? Can you explain this to me with a practical illustration? I just don't get what the discussion of clean data is about.

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Answer Timothy's questions. As Timothy asks, explain the concept of clean versus dirty data with a practical illustration.

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