As a dynamic entity within the fitness industry, our company is committed to enhancing its financial health and operational efficiency. This project aims to empower our Fitness Finance Manager role with advanced financial models and strategies tailored to the unique challenges and opportunities of the fitness sector. This project will focus on optimizing financial operations, including managing revenue streams such as memberships, classes, and personal training services, and developing financial strategies to boost profitability, control costs, and enhance overall financial performance.

This project will require students to:

• Conduct an in-depth analysis of financial operations specific to the fitness industry, examining current revenue management practices, cost control measures, and financial performance metrics.
• Develop and implement financial strategies that align with emerging fitness industry trends, aiming to optimize profitability and support the company's growth objectives.
• Collaborate with fitness operations teams to gather and analyze financial data, using this information to make informed, data-driven decisions that enhance financial and operational outcomes.
• Utilize mathematical and statistical tools to forecast financial scenarios, assess risk, and conduct sensitivity analyses to evaluate the impact of various financial strategies and decisions.
• Create a comprehensive report detailing the developed financial models and strategies, the outcomes of data analyses, and recommendations for financial and operational improvements. This report will be presented to the project manager and key stakeholders, providing actionable insights to guide the company's financial strategy in the fitness industry.

By the end of the project, students should complete the following list of activities (this is a retelling of the steps above):

• Use mathematical and statistical tools to analyze data sets.
• Evaluate metrics associated with the risk level of our company.
• Build a developed financial strategy with sensitivity analysis.
• Creating a report with the analysis results and recommendations.
• Students are required to participate in weekly meetings as part of their commitment to ongoing engagement and collaboration.

Final deliverables should include

• A report including all results and recommendations from the data analysis.
• A 10-minute presentation.

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

• Are there any extra or industry-specific metrics that should be a focus during analysis?
• What types of securities do we hold?
• Input on choices, problems or anything else the students might encounter.