Data analytics is the most efficient technique to identify patterns and anomalies that may indicate the splitting of planned purchases to avoid the approval process. By applying data analytics, the internal auditor can analyze the entire dataset to detect unusual patterns, such as multiple purchases just below the approval threshold made within a short timeframe. This method is more effective than random sampling or manual examination as it can quickly and accurately identify instances of potential malpractice across large volumes of transactions.
Reference:
The Institute of Internal Auditors (IIA) - Practice Guide: Data Analytics