Analytics in Action: Fraud
Using advanced analytics to combat fraud, corruption, waste and abuse
Although organizations generate, retain and analyze more information now than ever before, key data indicative of illegal or abusive schemes is often hidden under layers in various forms, and therefore, becomes difficult to detect by traditional means. In regard to corporate crime detection in particular, the ability to reveal relationships, communications, locations and patterns can make the difference between allowing a scheme to continue or uncovering and stopping it.
In response to the growing need to prevent fraudulent activities, companies have begun turning to advanced analytic techniques and tools to detect and reduce corruption, fraud, waste and abuse in the enterprise. From money laundering schemes to violations of the Foreign Corrupt Practices Act, from manipulating financial statements by reporting fictitious revenues to understating liabilities, overstating assets, or misusing inventory, graphically representing and exploring such data can bring clarity to the most pressing corporate concerns.
|Risk Angles: Five questions on financial crime
This issue of Risk Angles answers five questions on financial crime and takes a closer look at the use of Big Data to proactively address fraud risk.
|Tipping the triangle
By applying analytics to financial data within a proactive framework, fraud can be prevented, detected and mitigated to better manage financial risk.
Deloitte Diligence helps clients streamline the management of due diligence background investigations and other regulatory compliance investigations that Deloitte performs for clients.
What if you could head off fraud before it even happens? Advanced analytics helps bankers detect, in real time, transactions that may maybe suspicious – with more accuracy than ever before. And it doesn’t take a huge investment to get started. Watch our take.
|Enterprise Fraud and Misuse Management
Many organizations across sectors have been victimized or may be vulnerable in some way to fraud, waste, and abuse. Our Enterprise Fraud and Misuse Management solution provides the ability to screen transactional activity for evidence of fraud in real-time and diagnose external fraud rings that may threaten an organization.
|Shrinking retail shrink
How retailers can use new technologies such as data analytics to help them detect more fraud and improve margins in an increasingly challenging economic environment.
|Staying ahead of the compliance curve
Analytics can provide compliance executives with an opportunity that helps them leverage information they already have to meet an unrelenting imperative they face every day: fulfilling their regulatory duty by running high quality, dynamic, and effective compliance programs.
|Leveraging tax analytics to recover overpaid transaction taxes
Learn how you can use state-of-the-art techniques, practices, and software to conduct transactional data mining and data analytics in order to recover erroneously paid taxes.
|Visual analytics: Revealing corruption, fraud, waste and abuse
Learn why entities should equip their personnel with visual analytics tools and techniques to meet the growing challenge of reducing corruption, fraud, waste and abuse.
|Finding the needle
A combination of human intuition and leading-edge analytics technologies can have a positive impact on the detection and investigation of fraudulent activities.
|Caught in the middle
Read how government contractors - and other businesses - can use analytics to address improper payment risk across the value chain.