Parker, Corey
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Publication NBA Draft Pick Valuation(2018-01-01) Parker, CoreyIn this research paper, the discussion is targeted towards understanding the statistical analyses associated with the determining of draft pick success in the National Basketball Association. The three methodologies in question are Player Efficiency Rating and standard statistical categories, Roland Beech’s Rating System, and Win Shares. Through the discussion of these three separate methods, the research aims to give a holistic assessment of which study is the most likely to predict a player’s success post-draft. Through the paper, the ideas presented before, during, and after research are discussed with an emphasis on educating the reader on the field of predictive analytics and the role it plays in sports business. In its conclusion, the paper summarizes not that one methodology is superior to the others, but that the most conclusive method is one where all three approaches are analyzed and combined.Publication Inflection vs. Continuation: A Discussion of Data Centralization in Startups(2020-01-01) Parker, CoreyThis paper delves into the pursuit to introduce data centralization methods to small-scale firms and startups. This is done by teaching the founders skills and methods in Excel while tailoring the outputs to their specific industry and customer segments. Throughout this consulting-like process, I recorded each firm’s ability to understand my methods and the relative likelihood for adoption post-consulting. This study has found that the likelihood for adoption lies not in the complexity of the model, but the stage of the startup. By understanding this key difference, this paper aims to provide a blueprint for firms to follow when implementing data-centric practices, but giving specific recommendations based on two key life cycle points: inflection and continuation. The significance of these two terms will be discussed in the body of this thesis.