Decision science: From automation to optimization

Many banks have still not effectively tapped into the power of automated decision making. Barriers to innovation, including budgets, legacy IT systems, availability of the right data, organizational silos and an inability to act fast when opportunities arise, are a few reasons banks are held back, even when they have a clear vision and end goal.

This Risk.net white paper, commissioned by SAS, explores decision science and automation and the efficiencies it brings, and offers insight into why automation – married with adaptable analytics – is now crucial.