Exceptional
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Analysis: Forensic data analytics<br />
The business case for<br />
forensic data analytics<br />
The digital world is full of possibilities, but it also provides opportunities<br />
for fraudsters. Fortunately, businesses of all sizes can even up the odds by<br />
using forensic data analytics.<br />
words Mark Alexander<br />
From start-ups to global corporations,<br />
fraud has become a fact of life in<br />
the modern business world, looming<br />
as an ever-present risk. The many<br />
and varied types of fraud schemes are all<br />
damaging and always distressing.<br />
Fortunately, forensic data analytics<br />
(FDA) offers a way of redressing the<br />
balance and helping companies to manage<br />
current and emerging fraudulent activity by<br />
identifying potentially improper transactions<br />
and incongruous patterns of behavior.<br />
This could range from illicitly transferring<br />
funds and disrupting business operations to<br />
stealing intellectual property and embezzling<br />
personal data.<br />
When combined with the right anti-fraud<br />
skills and technological know-how, FDA can<br />
help. According to the Association of Certified<br />
Fraud Examiners (ACFE), companies that<br />
engage in proactive data analytics experience<br />
median fraud losses that are 59.7% lower<br />
than those that do not. That equates to a<br />
US$100,000 saving on each incident.<br />
Indeed, the key finding of EY’s Global<br />
Forensic Data Analytics Survey 2016,<br />
Shifting into high gear: mitigating risk and<br />
demonstrating returns, is that businesses<br />
with proactive strategies are better placed<br />
to react when fraud strikes.<br />
Photography Getty Images<br />
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