Improving Health Care Provider (HCP) Targeting Using Dataiku

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Presented by

Vincent Houdebine, Solutions Engineer @ Dataiku

About this talk

Determining a Health Care Provider's (HCP) propensity to prescribe is crucial to improve sales force effectiveness and grow sales in the pharmaceuticals industry. During this workshop, we'll show you how to use Dataiku to identify physicians with the highest propensity to prescribe a product using a machine learning model built in a low-code manner. We will be using historical sales data, marketing campaign data, calls and event attendance data in order to build and deploy a robust prediction pipeline. The HCP propensity model can be used in many different lines of business to improve decision process around next best action, marketing messaging, sales targeting, and more.

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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.