A large bank in Southeast Asia brings analytical sophistication to bear on making decisions across its portfolio. As a core principle, the bank is very committed to creating and maintaining its own models. A large, in-house analytics team was building risk models using SAS for data mining, analytics and reporting. As the bank looked to implement a more aggressive risk policy, it knew the SAS tools weren’t enough. It needed a solution that would let them easily perform highly sophisticated modeling, quickly deploy those models
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