Story telling of tableau file Details Attached

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Story telling of tableau file( Tableau is attached)

Details Attached. Only questions 3, 4 and 5 are required.

Story telling of tableau file Details Attached
Team Project BUSI 650 – Business Analytics IDEA The idea of this project is to familiarize MBA candidates with the industry and area of expertise. The project allows the opportunity to address problems or opportunities in various facets of industry domains as well as fields of interest (Finance, Marketing , etc. ). EXPECTATIONS Candidates will be expected to use data to identify the problems or trends and patterns in their area of interest . The process of identifying patterns or trends would be primarily based on the use and analytics of data using various tools and techniques discussed in the class . The candidates should be able to explain the significant changes in their data . Candidates may use other techniques (subject to approval). 1.0 Introd uction 1.1 Introduction • Discuss the background of the analysis/research • Explain the relevance to the industry or company used in the analysis in conjunction with the current business environment • In a paragraph explain the purpose of the research, the relevance of the problem to the current business environment 1.2 Scope and Objectives (deliverables) • Scope: Clarify the scope of the analysis or research • Objectives: clearly state the objective (similar to a research statement) 2.0 Background Research /Literature R eview 2.1 Business • Use more than 3 reputed media articles/opinions • The articles/opinions must be associated with the area of analysis/research and should be cohesively analyzed 3.0 Methodology 3.1 Data • Discuss the data collected • There must be at least 15 observations • Explain how does it relate to the research/Analysis • Mention the time frames and sources of the data 3.2 Tools/Analytics • Mention the tools and techniques used to analyze the data • Explain how it addresses the analysis or research 4.0 Analysis • Align thi s section with 3.2 and explain how the data was analyzed • Note changes in tools or methodology (if any) 4.1 Analysis • Elaborate the results found in 4.1 and explain how it addresses the objectives • Explain how the results are in conjunction to section 2.0 • Graphs and explanation 5.0 Conclusion • Use sections 2, 3, and 4 and provide conclusive remarks • Provide solution to the problem along with some empirical evidence W OR D LIMIT No Word Limit. Expect to include all the parts with appropriate Visualization. Submission Format: o Presentation : In week 10 lecture . All team members should participate . o Report Submission : Due to week 11 DATA SOURCE • You can use any data source for this project. For example, financial statements and sales data of Amazon, Tesla, Honda, etc. • You can use the following publicly available dataset: o Startups: Funding and Acquisitions (download link: https://github.com/notpeter/crunchbase -data/archive/refs/heads/master.zip ). o New York City (download from: https://data.cityofnewyork.us/api/views/43nn – pn8j/rows.csv?accessType=DOWNLOAD&bom=true&format=true . New York City Open Data contains data on a wide variety of NYC aspects (e.g., education, safety, recreation, and many more).

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