Automating Model Assurance and Review to Drive Better Business Decisions
Modelling is a key discipline for many businesses, as it provides insight, options and dynamism for the business. The best performing businesses typically have superior modelling capabilities, often using Excel as the tool of choice.
Businesses are never static, neither are Excel models. Excel matches great flexibility with powerful features, but lacks capabilities like change or version controls that can identify errors unwittingly introduced into a model, either your own models, or those you have inherited. Such errors undermine the reliability, accuracy and value of a model and are difficult and time-consuming to identify.
Listen to Morten Siersted, CEO of modelling specialists F1F9 and Tony Bethell, VP Alliances at ClusterSeven, discuss the challenges of Excel model development and control and how a new innovative approach can improve the speed and accuracy of model development and ongoing risk management.