CFE-INVESTIGATION practice question 12 of 25
Which of the following BEST describes the data analytics approach known as predictive analytics?
Full set: 170 questionsPredictive analytics is a data analytics approach focused on making predictions about future outcomes. It utilizes historical data in conjunction with statistical algorithms and machine learning techniques to identify the likelihood of future results. A mathematical model is constructed based on past trends and patterns, which is then used to generate a quantitative forecast. This approach helps organizations anticipate future events, such as the probability of fraud occurring in a given transaction.
A. This describes unsupervised machine learning, a technique that can be used within predictive analytics but is not the complete definition of the approach itself.
B. This describes robotic process automation (RPA), which is a business process automation technology, not a data analytics approach for forecasting.
D. This describes deep learning, a specific and advanced subset of machine learning. While used for predictive tasks, it is too narrow to be the best overall description.
Association of Certified Fraud Examiners. (2023). Fraud Examiners Manual, International Edition. Section 2: Technology. The subsection on "Understanding Data Analytics" defines descriptive, predictive, and prescriptive analytics (e.g., 2.404-2.406).
Siegel, E. (2016). Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Revised and Updated ed.). Wiley. Chapter 1 provides a foundational definition of predictive analytics as a technology that learns from experience (data) to predict future behavior.
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