Tipping the triangle

Predictive analytics to mitigate empty envelope fraud

Fraud is driven by an intentional human element that continuously mutates and evolves, making it a crime that is notoriously difficult to contain. As a result, detecting and mitigating the impacts of fraud remain ongoing concerns for the financial services industry.

As the volume of data grows and the industry focuses more closely on detection, analytics has evolved to provide proactive, real-time insights into fraud behaviors and activities. The goal is to develop solutions that incorporate these predictive techniques along with the continuous monitoring of data collected at large financial institutions. By applying analytics to financial data within a proactive framework, fraud can be prevented, detected, and mitigated to better manage financial risk.

Deloitte’s advanced analytics team partnered with a large Canadian bank to exchange ideas, resources, and subject matter expertise. This paper, a collaborative product of that partnership, looks at the impacts of fraud, at challenges in the current fraud landscape and at the ways in which new analytics solutions are reducing risk and improving financial security.

Learn more about how Deloitte can help your organization reduce risk and improve financial security using analytics

As used in this document, “Deloitte Advisory” means Deloitte & Touche LLP, which provides audit and enterprise risk services; Deloitte Financial Advisory Services LLP, which provides forensic, dispute, and other consulting services; and its affiliate, Deloitte Transactions and Business Analytics LLP, which provides a wide range of advisory and analytics services. Deloitte Transactions and Business Analytics LLP is not a certified public accounting firm. These entities are separate subsidiaries of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.