SAS Risk Modeling vs. FactSet Portfolio Analytics

SAS Risk Modeling delivers an integrated infrastructure to handle data, build models using traditional statistical methods as well as advanced machine learning techniques, backtest the model, and implement them quickly providing a more flexible risk modeling solution than any outsourcing alternative. With SAS Risk Modeling, modelers can create open, explainable models in a well-managed and controlled environment. And they can do it for their regulatory risk, business models and using the latest analytic techniques, such as artificial intelligence (AI) and machine learning.

FactSet's integrated multi-asset class portfolio analytics and official performance solutions let you spend more time finding answers and less time managing data. With sophisticated next generation portfolio analytics, performance, and attribution, you get an unparalleled combination of portfolio equity and fixed income analytics, data concordance management, workflow capabilities, and data distribution for internal and external clients.