Predicting Early Adopters with Machine Learning

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Business Issue: A pharmaceutical company is launching a new cardiovascular product and wants to identify and target physicians who are likely to be early adopters.

Methodology – Cognitive ANNA: A large sample of both primary and secondary data was analyzed using machine learning and traditional statistical models for data analysis.  With the help of human intelligence from Cognitive’s consultants, we were able to test assumptions, identify patterns, and improve ANNA’s output. ANNA was able to identify profiles of physicians who both scored high on key prescribing factors and were likely to be early adopters.  

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Highlighting Cognitive’s Product Portfolio

  • Industry:  Data Science
  • Consulting:  Market Strategy
  • Product:  Cognitive ANNA – Artificial Intelligence – Conduct an artificial neural network analysis through ongoing collection of data