Data Science Project Proposal

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    Building a DATA SCIENCE PROJECT PROPOSAL
    (10 points)
    Your team represents a data science consultancy (could be an internal
    group or an external consulting group) for a large retailer that sells
    products both in a physical store as well as via the internet (there are
    any number of examples: Target, Kohls, Walmart.)
    First, pick a specific retailer for your team.
    CONSULT APPENDICES A and B IN THE PROVOST/FAWCETT
    BOOK BEFORE BUILDING YOUR POWERPOINT. You are going to
    make a proposal in the form of a powerpoint presentation to
    senior management, making a PITCH for a data science project.
    Remember, you are MAKING the pitch, not EVALUATING a
    the proposal, as outlined in Appendix A. However Appendix A, can be
    inverted to help you build the proposal. Address all relevant
    concerns: what is the purpose of the data science project (e.g.,
    predict loyalty card churn), what data to be used, cost,
    benefit???
    ALSO, watch the INFORMS VIDEO posted on RISK ASSESSMENT
    for AI projects. The video contains 10 technical factors and 10
    environmental factors that must be addressed in your pitch.
    In summary, your powerpoint will be evaluated on 3 factors: a)
    inclusion of relevant ideas from appendices A and B in the
    Provost-Fawcett book b) inclusion of relevant ideas from the
    RISK ASSESSMENT video (10 technical and 10 environmental
    factors) c) neatness and flow of the presentation.
    SUBMIT a single PowerPoint presentation for this assignment (limit 20
    slides). Please place the names of all CONTRIBUTING TEAM members
    at the top of the PPT. Canvas accepts multiple submissions from a
    team and if you are working alone (not recommended, however) you
    can individually upload your answer to this assignment.
    HAVE FUN!!

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