Review paper
The use of business intelligence and predictive analytics in detecting and managing occupational fraud in Nigerian banks
Abstract
The problem of occupational fraud is one of the most wide-reaching operational risk event types in the Nigerian banking system. This event type spans many departments, roles, processes and systems and causes significant financial and reputational damage to banks. As a result, fraud presents banks with a real challenge in terms of knowing where to start. One of the main aims of this paper is to use stochastic probability models to predict...
Paper Details
Title
The use of business intelligence and predictive analytics in detecting and managing occupational fraud in Nigerian banks
Published Date
Jan 1, 2019
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