With a rich set of built-in functions, a straightforward programming model, and a large library of available third-party addins, Excel has become a staple tool for analysts running simulations in areas such as risk management, actuarial analysis and pricing applications.

The accessibility and ease of use of Excel has resulted in many financial services organizations making extensive use of Excel based models to automate complex repetitive tasks such as extracting market data from real-time sources and computing pricing scenarios and risk positions. And while Microsoft has recognized these uses of excel, many addins can run slowly.

This resource introduces the benefits of one alternative offering that is able to accelerate a variety of Excel models implemented using multiple versions and technology approaches. Continue on for five scenarios in which a developer can easily parallelize computations and improve performance.