Building a DATA SCIENCE PROJECT PROPOSAL(10 points)Your team represents a data science consultancy (could be an internalgroup or an external consulting group) for a large retailer that sellsproducts both in a physical store as well as via the internet (there areany number of examples: Target, Kohls, Walmart.) First, pick a specific retailer for your team. CONSULT APPENDICES A and B IN THE PROVOST/FAWCETTBOOK BEFORE BUILDING YOUR POWERPOINT. You are going tomake a proposal in the form of a powerpoint presentation tosenior management, making a PITCH for a data science project.Remember, you are MAKING the pitch, not EVALUATING athe proposal, as outlined in Appendix A. However Appendix A, can beinverted to help you build the proposal. Address all relevantconcerns: 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 ASSESSMENTfor AI projects. The video contains 10 technical factors and 10environmental 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 theProvost-Fawcett book b) inclusion of relevant ideas from theRISK ASSESSMENT video (10 technical and 10 environmentalfactors) c) neatness and flow of the presentation.SUBMIT a single PowerPoint presentation for this assignment (limit 20slides). Please place the names of all CONTRIBUTING TEAM membersat the top of the PPT. Canvas accepts multiple submissions from ateam and if you are working alone (not recommended, however) youcan individually upload your answer to this assignment.HAVE FUN!!