I’ve been struck these last months by several articles in the trade press about CFE’s increasingly applying advanced analytical techniques in support of their work as full-time employees of private and public-sector enterprises. This is gratifying to learn because CFE’s have been bombarded for some time now about the risks presented by cloud computing, social media, big data analytics, and mobile devices, and told they need to address those risk in their investigative practice. Now there is mounting evidence of CFEs doing just that by using these new technologies to change the actual practice of fraud investigation and forensic accounting by using these innovative techniques to shape how they understand and monitor fraud risk, plan and manage their work, test transactions against fraud scenarios, and report the results of their assessments and investigations to management; demonstrating what we’ve all known, that CFEs, especially those dually certified as CPAs, CIAs, or CISA’s can bring a unique mix of leveraged skills to any employer’s fraud prevention or detection program.
Some examples …
Social Media — following a fraud involving several of the financial consultants who work in its branches and help customers select accounts and other investments, a large multi-state bank requested that a staff CFE determine ways of identifying disgruntled employees who might be prone to fraud. The effort was important to management not only because of fraud prevention but because when the bank lost an experienced financial consultant for any reason, it also lost the relationships that individual had established with the bank’s customers, affecting revenue adversely. The staff CFE suggested that the bank use social media analytics software to mine employees’ email and posts to its internal social media groups. That enabled the bank to identify accurately (reportedly about 33 percent) the financial consultants who were not currently satisfied with their jobs and were considering leaving. Management was able to talk individually with these employees and address their concerns, with the positive outcome of retaining many of them and rendering them less likely to express their frustration by ethically challenged behavior. Our CFE’s awareness that many organizations use social media analytics to monitor what their customers say about them, their products, and their services (a technique often referred to as sentiment analysis or text analytics) allowed her to suggest an approach that rendered value. This text analytics effort helped the employer gain the experience to additionally develop routines to identify email and other employee and customer chatter that might be red flags for future fraud or intrusion attempts.
Analytics — A large international bank was concerned about potential money laundering, especially because regulators were not satisfied with the quality of their related internal controls. At a CFE employee’s recommendation, it invested in state-of-the-art business intelligence solutions that run “in-memory”, a new technique that enables analytics and other software to run up to 300,000 times faster, to monitor 100 percent of its transactions, looking for the presence of patterns and fraud scenarios indicating potential problems.
Mobile — In the wake of an identified fraud on which he worked, an employed CFE recommended that a global software company upgrade its enterprise fraud risk management system so senior managers could view real-time strategy and risk dashboards on their mobile devices (tablets and smartphones). The executives can monitor risks to both the corporate and to their personal objectives and strategies and take corrective actions as necessary. In addition, when a risk level rises above a defined target, the managers and the risk officer receive an alert.
Collaboration — The fraud prevention and information security team at a U.S. company wanted to increase the level of employee acceptance and compliance with its fraud prevention – information security policy. The CFE certified Security Officer decided to post a new policy draft to a collaboration area available to every employee and encouraged them to post comments and suggestions for upgrading it. Through this crowd-sourcing technique, the company received multiple comments and ideas, many of which were incorporated into the draft. When the completed policy was published, the company found that its level of acceptance increased significantly, its employees feeling that they had part ownership.
As these examples demonstrate, there is a wonderful opportunity for private and public sector employed CFE’s to join in the use of enterprise applications to enhance both their and their employer’s investigative efficiency and effectiveness. Since their organizations are already investing heavily in a wide variety of innovative technologies to transform the way in which they deliver products to and communicate with customers, as well as how they operate, manage, and direct the business, there is no reason that CFE’s can’t use these same tools to transform each stage of their examination and fraud prevention work.
A risk-based fraud prevention approach requires staff CFEs to build and maintain the fraud prevention plan, so it addresses the risks that matter to the organization, and then update that plan as risks change. In these turbulent times, dominated by cyber, risks change frequently, and it’s essential that fraud prevention teams understand the changes and ensure their approach for addressing them is updated continuously. This requires monitoring to identify and assess both new risks and changes in previously identified risks. Some of the recent technologies used by organizations’ financial and operational analysts, marketing and communications professionals, and others to understand both changes within and outside the business can also be used to great advantage by loss prevention staff for risk monitoring. The benefits of leveraging this same software are that the organization has existing experts in place to teach CFE’s how to use it, the IT department already is providing technical support, and the software is currently used against the very data enterprise fraud prevention professionals like staff CFEs want to analyze. A range of enhanced analytics software such as business intelligence, analytics (including predictive and mobile analytics), visual intelligence, sentiment analysis, and text analytics enable fraud prevention to monitor and assess risk levels. In some cases, the software monitors transactions against predefined rules to identify potential concerns such as heightened fraud risks in any given business process or in a set of business processes (the inventory or financial cycles). For example, a loss prevention team headed by a staff CFE can monitor credit memos in the first month of each quarter to detect potential revenue accounting fraud. Another use is to identify trends associated with known fraud scenarios, such as changes in profit margins or the level of employee turnover, that might indicate changes in risk levels. For example, the level of emergency changes to enterprise applications can be analyzed to identify a heightened risk of poor testing and implementation protocols associated with a higher vulnerability to cyber penetration.
Finally, innovative staff CFEs have used some interesting techniques to report fraud risk assessments and examination results to management and to boards. Some have adopted a more visually appealing representation in a one-page assessment report; others have moved to the more visual capabilities of PowerPoint from the traditional text presentation of Microsoft Word. New visualization technology, sometimes called visual analytics when allied with analytics solutions, provides more options for fraud prevention managers seeking to enhance or replace formal reports with pictures, charts, and dashboards. The executives and boards of their employing organizations are already managing their enterprise with dashboards and trend charts; effective loss prevention communications can make effective use of the same techniques. One CFE used charts and trend lines to illustrate how the time her employing company was taking to process small vendor contracts far exceeded acceptable levels, had contributed to fraud risk and was continuing to increase. The graphic, generated by a combination of a business intelligence analysis and a visual analytics tool to build the chart, was inserted into a standard monthly loss prevention report.
CFE headed loss prevention departments and their allied internal audit and IT departments have a rich selection of technologies that can be used by them individually or in combination to make them all more effective and efficient. It is questionable whether these three functions can remain relevant in an age of cyber, addressing and providing assurance on the risks that matter to the organization, without an ever wider use of modern technology. Technology can enable the an internal CFE to understand the changing business environment and the risks that can affect the organization’s ability to achieve its fraud prevention related objectives.
The world and its risks are evolving and changing all the time, and assurance professionals need to address the issues that matter now. CFEs need to review where the risk is going to be, not where it was when the anti-fraud plan was built. They increasingly need to have the ability to assess cyber fraud risk quickly and to share the results with the board and management in ways that communicate assurance and stimulate necessary change.
Technology must be part of the solution to that need. Technological tools currently utilized by CFEs will continue to improve and will be joined by others over time. For example, solutions for augmented or virtual reality, where a picture or view of the physical world is augmented by data about that picture or view enables loss prevention professionals to point their phones at a warehouse and immediately access operational, personnel, safety, and other useful information; representing that the future is a compound of both challenge and opportunity.