Dun & Bradstreet’s data scientists, analysts and PhDs average more than a decade of experience in analytics modeling, strategy and implementation. With deep presence in the U.S., Europe and Asia, this global team works across different data, method and software types to set a high bar on innovation and research and development. They’re dedicated to working with Analytic Modeling teams at many of the world’s leading companies across critical industries – Financial Services, Insurance, High Tech, Telecom, Manufacturing, and others – to uncover meaning in data.
Specializing in commercial, consumer and industry-specific information, we apply the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and text analytics. Adding this to deep understanding the most current statistical software -- SAS, SPSS, R, and Python – gives us the unique ability to build the highest performing predictors, ratings, scores and advanced analytic models.