The ACCTG 521/522 Joint Capstone Project which is a team based presentation focusing on the use of real-time data to support analysis around the broad concept of "know your company" (KYC) for a chosen public company. KYC emphasizes a comprehensive understanding of a company’s structure, operations, financial health, culture, risks, and strategic goals. This concept is crucial for both internal stakeholders, like employees and managers, and external stakeholders, such as investors, auditors, or regulatory bodies. Teams select how they will narrow their analysis to an important aspect of KYC for their chosen company. Teams will present in the final classes of ACCTG522 on 12/4 or ACCTG521 on 12/5. All teams are required to attend all presentations on both days.
Deliverable | Due Date | Canvas Submission Portal |
---|---|---|
All Final Project Materials (zip file) | 12/3 11:59PM | Upload to Canvas (one submission per team) |
Final Project Presentations | 12/4 or 12/5 | No Canvas Submission Required |
Further details are provided below for each required deliverable.
Required deliverable: A standalone Alteryx Packaged Workbook (including any API keys and any additional static datasets used).
*.yxzp
file. Teams should confirm that the file extension is *.yxzp and test that the packaged workbook can be loaded and run in a separate folder.
Required deliverable: PowerPoint Slides AND/OR Tableau or PowerBI Risk Dashboard for your company.
Required deliverable: A 12 minute Presentation to the Full Class
This policy establishes the guidelines and expectations for the responsible and ethical use of generative AI, including Large Language Models (LLMs) in the graduate accounting programs. Generative AI can be a valuable tool for enhancing learning, productivity and creativity, but it must be used responsibly to maintain a productive and respectful learning environment. Generative AI should primarily be used for educational purposes, such as assisting with research, generating ideas, or editing documents. Students are responsible for the work that they submit, any errors introduced by the use of Generative AI will reduce the grades on individual or team submissions.