Identify suspicious transaction activity
The complexity of business operations makes it difficult for clients to get micro-snapshots of the data roaming through their systems. Like looking under the bonnet or hood of a modern car, business is a bewildering labyrinth of computer technology. Just as you are no longer able to tinker with a “missing” engine, neither can you tinkle with a suspicious wobble from the engine room of your business. You need a professional with technological tools so powerful that they can quickly identify errors, irregularities and suspect transactions deep down in your business.
Yet current approaches remain a patchwork of fragmented and ultimately ineffective efforts. Randomised sampling, manual transaction monitoring, labour-intensive case investigation and a deeply siloed execution model mean that organisations are ill-equipped to take an insight-driven approach to financial crime – despite having the data to do so at their disposal.
Using advanced analytics, organisations can transform their financial crime strategies from monitoring to mitigation. With predictive modelling and an extensive rules-based testing suite, Forensic Analytics can harness the ever-increasing volumes of data within each crime pillar to not only improve efficiency and drive toward a more unified view of risk, but successfully predict likely future offenders.
This insight-driven approach to financial crime ultimately enables the foresight and operational agility to navigate a more complex world.
Go the Deloitte Analytics site to understand how Deloitte Analytics can maximise the value of your data from the inside out.