Asking the right questions matters. The various parts of an organization—C-suite, IT, marketing, operations, etc.—do NOT think alike. Therefore is it vital to know your audience and ask the questions that make sense for them—questions about the profit and ROI of your model for your audience, for example. As you work, ask yourself, “What is important to discover? How will my model help my audience?”
This talk focuses on the important questions that data scientists need to ask themselves, both in terms of developing suitable models for their audience and avoiding the pitfalls many data scientists still fall into with respect to over-fitting, algorithmic bias, and more.
Carla Gentry is an acknowledged influencer and subject matter expert in the field of advanced analytics and data science. During the past 19+ years, Carla has worked with Fortune 100 and 500 companies including, but not limited to, Discover Financial Services, J&J, Hershey, Kraft, Kellogg’s, SCJ, McNeil, PBA, Disney, Deloitte, and Firestone. Acting as a liaison between the IT department and the executive staff, Carla is able to take huge complicated databases, decipher business needs, and come back with intelligence that quantifies spending, profit, and trends. Being called a data nerd is a badge of courage for this curious mathematician/economist because knowledge is power, and companies are now acknowledging its importance.