Case Study: Northern Trust achieves faster operational risk modeling with Revolution Analytics

Northern Trust Bank Speeds Operational Risk Models with Revolution R Enterprise

Northern Trust, a banking institution focused on operational risk modeling, needed to speed up Monte Carlo simulation benchmarking for its risk analysts. Running millions of simulations in base R could take days, and managing parallelized workloads across different hardware and operating systems was difficult. Northern Trust turned to Revolution Analytics and its Revolution R Enterprise platform, including the doRSR and doSMP parallelization packages.

Revolution Analytics implemented parallelized processing and benchmarked it across laptops, servers, and a multi-node Amazon cluster. The solution improved simulation performance, reduced time to results, and automated resource management. The tests showed performance scaled with the number of cores and efficiently used available computing resources, with significant gains in processing time and more efficient management of a diverse hardware environment.

Northern Trust