Question
Team Project BUSI 650 - Business Analytics Idea The idea of this project is to familiarize MBA candidates with the industry and area of expertise.
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 are 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 analysis of data using various tools and techniques discussed in the course. The candidates should be able to explain the significant changes in their data. Candidates may use other techniques (subject to approval).
- Introduction
- 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
- Scope and Objectives (deliverables)
- Scope: Clarify the scope of the analysis or research
- Objectives: clearly state the objective (similar to a research statement)
- Background Research/Literature Review
- Business
- Use more than 3 reputed media articles/opinions
- The articles/opinions must be associated with the area of analysis/research and should be critically analyzed
- Methodology
- Data
- Discuss the data collected
- There must be at least 15 observations
- Explain how the date relates to the research/Analysis
- provide the time frames and sources of the data
- Tools/Analytics
- Explain the tools and techniques used to analyze the data
- Explain how these tools are used in the analysis or research
- Analysis
- Align this section with 3.2 and explain how the data was analyzed
- Note changes in tools or methodology (if any)
- 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
- Use data visualization tools such as graphs to support your findings
- Conclusion
- Use sections 2, 3, and 4 and provide conclusive remarks
- Provide solution to the problem along with some empirical evidence
Word limit
Maximum 1500 words. Include charts and tables.
Submission Format:
- Presentation (record a video on MS Teams and share with me
- Report Submission due on March 26, 2023.
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:
- Startups: Funding and Acquisitions (download link: https://github.com/notpeter/crunchbase-data/archive/refs/heads/master.zip).
- 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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