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?

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