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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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