At the heart of every financial investigation is a trail of money. And in many cases those trails are complex. They involve multiple bank accounts and thousands of transactions that are intertwined. This voluminous financial data must be culled, analyzed, and presented in a way that proves the case, and therein lies the difficulty.
For the last forty years, investigators have relied primarily on manual processes to evaluate financial evidence. They compared accounting data to source documents, ultimately trying to prove the source and use of funds.
But this gets complicated in large cases because of the number of involved people and bank accounts. The process of understanding and organizing the flow of funds is complex, and it can take months before the parties to a case know exactly what happened to the money.
Over the last decade, advances have been made with technology to help fraud investigators analyze large volumes of financial data much faster, more efficiently, and more accurately than they can using only traditional investigative techniques.