SAS | Model lifecycle management

Transforming data into models and models into actions

Alexander Smith

Alexander Smith

Director, Modeling & Valuation, KPMG US

+1 312 665 2183

An organization’s model has the ability to reveal hidden opportunities by turning complex data into insights, and insight into actions. The use of models to generate these insights varies across and even inside organizations. Regardless of the industry, models are developed and deployed to help organizations make data-driven decisions, gain competitive advantage, and maximize their return on investments. But how they are developed and deployed often determines whether organizations succeed or not.

Delivering insights from models can take weeks, months or even years in many organizations’ model lifecycle. The complexity is compounded by the availability and quality of the data, the type of variables to analyze and the complexity of the model. In addition, model development involves many team members – data architects, modelers, validators, and business stakeholders. Without the proper strategy, technology and services, model results can lead to ineffective, outdated or even inaccurate business decisions. Innovative companies are adopting modern technologies.

KPMG and SAS have joined efforts to develop a complete offering – KPMG and SAS Model Lifecycle - by combining market leading technology, operational delivery excellence, and demonstrable services for our clients. Our joint approach can help clients with the entire data model lifecycle – a continuous process of updating, reviewing, decision-making, and analysis.