Specializing in antifraud for INSIDER THREAT & FRAUD MANAGEMENT. The first step in effective fraud management is the Fraud Risk Assessment. It provides much more than the inputs required for a risk-based annual audit plan. The results of the evaluation begin the process to allow for the determination of risk appetite, tolerance levels (+/- %), key risk indicators (KRIs), identification of anomalies, and the development of predefined management actions and communication strategy in response to exception reporting. Benefits of the fraud risk assessment include: Visibility into the organization’s fraud risk; Understanding of the risks by department and scheme; Prioritize antifraud efforts and allocate resources effectively by focusing on the risks… Read More
Continue ReadingWebinar – Big Data
We have the pleasure to invite you to our webinar: Using Big Data and Predictive Analytics in Fraud Prevention. This free webinar will take place on Thursday, 14th of April 2016, 10am CEST. Considering the challenges of regulatory compliance by financial institutions, using Big Data is hardly optional today. However, do you know what to do with the “Big” Data you have? Many Big Data innovation projects have failed in the past as the complexity to extract and normalize data was underestimated. Without a well-thought model, the data is meaningless. Register for this webinar to learn first-hand from the Big Data and analytics expert Jérôme Kehrli: Jérôme Kehrli, Head… Read More
Continue ReadingNew Benford’s Law Model
We have developed a new model for Benford’s Law analysis. You can analyze naturally occurring numbers (e.g. transaction level data) to see if the actual distributions conform to Benford’s Law. Under certain conditions, deviations from Benford’s could indicate the possibility of human manipulation, i.e. fraud. Therefore, those results would require additional scrutiny. This analysis provides a direction of inquiry. This is a model for Benford’s Law analysis built in MS Excel which calculates graphical and tabular results for the following tests:
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