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Credit profiles change faster than the models scoring them.
One governed lake replaces the scripts and the standalone R. Traditional and non-traditional sources land in the same place and feed the credit-risk and fraud models directly, and the BI layer on top is one analysts prepare data in themselves.
A managed data lake pulling web, supplier and mainframe sources together, feeding models that score credit risk and detect fraud — plus a BI layer analysts prepare data in themselves rather than queue for, as delivered for Mitra Adiperkasa.
Tell us what your sector makes hard, and we will tell you what we have already solved in it.
