Fraud: Detect, Prevent, and Deter to Protect Revenue Infographic

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http://spr.ly/SAP_Fraud_Management - More businesses are becoming global. They’re interacting with a wider network of suppliers, customers, and partners and, as such, are leaving themselves open to a higher risk of fraud. With this in mind, what can businesses do to detect and prevent fraud and protect their revenue?

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Fraud: Detect, Prevent, and Deter to Protect Revenue Infographic

  1. 1. More businesses are becoming global. They’re interacting with a wider network of suppliers, customers, and partners and, as such, are leaving themselves open to a higher risk of fraud. With this in mind, what can businesses do to detect and prevent fraud and protect their revenue? Detect and prevent fraud with the SAP® Fraud Management analytic application, while keeping risks low and protecting revenue. Find out more at www.sap.com/fraud. Fraud: Detect, Prevent, and Deter to Protect Revenue 1. Kroll, 2013/2014 Global Fraud Report. 2. E&Y, 2013 EMEIA Fraud Survey. 3. Association of Certified Fraud Examiners (ACFE), 2012 Report to the Nations. 4. Strategically Detecting And Mitigating Employee Fraud, a commissioned March 2014 study conducted by Forrester Consulting on behalf of SAP and Deloitte. 5. Used with permission from Bain & Company, The value of Big Data: How analytics differentiates winners, September 17, 2013. 6. PwC, Global Economic Crime Survey 2014. © 2014 SAP AG or an SAP affiliate company. All rights reserved. Speed 18 months average time that fraud goes undetected.2 Investigate Automation 47% of surveyed decision makers agree that fraud management processes are manual and lack automation.4 of businesses have suffered at least one type of fraud in the past year.1 of executives across Europe, Middle East, Africa, and India say corrupt practices are commonplace in their countries.3 of organizations don’t recover any of their losses from fraud. The fraud picture today Detect and investigate fraud Resource 28% of organizations can’t perform fraud investigations due to poor resources. Analytics of fraud cases are identified by data analytics. Prevent and deter fraud The typical internal fraudster is a man aged 31-40 with over 6 years’ service and a graduate degree.6 Predictive MANUAL FRAUD DETECTION 2 4 5 5

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