The application of exploratory data analysis in auditing

TL;DRAbstract

Exploratory data analysis (EDA), which originated centuries ago, is a data analysis approach that emphasizes pattern recognition and hypothesis generation from raw data. It is suggested as the first step of any data analysis task for exploring and understanding data, and has been applied in many disciplines such as Geography, Marketing, and Operations Management. However, even though EDA techniques, such as data visualization and data mining, have been used in some procedures in auditing, EDA has not been employed in auditing in a systematical way. This dissertation consists of three essays to investigate the application of EDA in audit research. The study contributes to the auditing literature by identifying the importance of EDA in auditing, proposing a framework to describe how auditors could apply EDA to auditing, and using two cases to demonstrate the benefits that auditors can gain from EDA by following the proposed framework. The first essay identifies the value of EDA in auditi

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