애널리틱스, 빅데이터_판매 예측모델 프로젝트 2_Columbia Univ_Project Deliverable_Part 2
- 최초 등록일
- 2020.12.26
- 최종 저작일
- 2019.12
- 5페이지/ MS 워드
- 가격 2,000원
소개글
"애널리틱스, 빅데이터_판매 예측모델 프로젝트 2_Columbia Univ_Project Deliverable_Part 2"에 대한 내용입니다.
목차
1. What is the recommended action and how do you expect the action to affect business or organizational goals?
2. What are the conclusions of your data analysis that support your recommendation?
3. What is the basic concept of the methodology you selected for the analysis, and what are its strengths and weaknesses?
본문내용
BigMart must carefully consider changing its business strategy by looking at the sales pattern the sales prediction model shows. The most important variables to look at are Item MRP (the listed price of items), Outlet Type, and Item Fat Content (the fat content of an item being low fat or regular).
(* The names of the variables and their descriptions are described in Appendix)
Most of the company’s customers are supermarket shoppers rather than grocery shoppers. In addition, they are health conscious, and the majority of the products they consume is high quality (or high-priced) products.
참고 자료
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