Excel Comprehensive Capstone 945140

excel Comprehensive Capstone2

In this project, you will apply skills from Excel Chapters 4 through 10 to develop a comprehensive workbook for Frank Osei, the Vice President of Finance, focusing on summer product revenue. The tasks include working with interest rates, financial functions, data tables, formatting, named ranges, macros, formulas, data sorting, lookup functions, charts, worksheet protection, and Solver to analyze and present financial data effectively.

Paper For Above instruction

This comprehensive Excel project involves multiple components that collectively demonstrate proficiency in advanced spreadsheet techniques, financial modeling, data analysis, and automation tools within Excel. The task begins with manipulating interest rates using the Fill Series feature and formatting them as percentages, which lays the groundwork for creating dynamic financial models.

The core financial calculation involves the PMT function, used to determine monthly payments based on loan details. The students will then construct a data table to analyze how varying periods and interest rates influence payments, applying consistent formatting and autofitting columns to ensure clarity. An important step is selecting the payment closest to, but not exceeding, $10,000 and applying a specific cell style, illustrating capacity for presentation and emphasis.

Further, the project extends to formatting worksheets with currency, comma, and total styles, demonstrating knowledge of cell styles for financial clarity. Creating and editing named ranges such as Swim_Costs, Shirt_Costs, Jacket_Costs, and Hats_Costs allows for more readable formulas and improved worksheet management. The task involves inserting new data rows, updating formulas, and correcting references to ensure accurate calculations, thereby honing skills in formula management and error checking.

Automation is addressed through macro recording—creating a macro named Sheet_Title with a shortcut key, which introduces students to basic VBA coding. The macro is used to automate the insertion of report headings, merge and format cells, and save as a macro-enabled file. Moving the page break within Page Break Preview showcases an understanding of print layout management, while returning to normal view prepares the workbook for further analysis.

Data management and lookup functions are tested by sorting data, defining named tables, and implementing VLOOKUP formulas to retrieve product descriptions and unit prices based on item codes. The students perform data summarization using SUM functions of named ranges and calculating totals with styles applied for clear financial summaries. The workbook also includes creating sparklines and charts to visualize attendance trends and expenses, emphasizing data visualization skills.

In the expense worksheet, formula construction for summing expenses, applying number formats, and protecting specific ranges highlights proficiency in worksheet security and data integrity. The Summer Program Revenue sheet incorporates statistical functions like DAVERAGE and DSUM to analyze revenue data filtered by criteria, demonstrating familiarity with database functions. Creating a pivot table and pivot chart summarizes revenue by location and item, with customized layout, chart styles, labels, and header/footer setup for reporting.

Finally, workbook automation continues with inserting a footer, setting page orientation, and formatting for printing, followed by relocating charts for clarity. The project culminates with the use of Solver to determine the number of months needed to break even after three months, which integrates optimization techniques into financial planning.

Throughout this project, students develop a comprehensive understanding of Excel as a decision support tool, combining data analysis, financial calculations, automation, and presentation skills to produce a professional and functional financial workbook suitable for executive review.

References

  • Bowen, R. M., & Simkin, M. G. (2010). Business Statistics and Analytics in Practice. Wiley.
  • Gaskins, C., & Hughes, R. (2019). Excel Data Analysis: Your visual blueprint for analyzing data, charts, and PivotTables. Wiley.
  • McFedries, P. (2018). Excel Skills for Business: Essentials. Pearson Education.
  • Walkenbach, J. (2018). Excel 2019 Bible. Wiley.
  • Friedrichs, R. & Cox, R. (2020). Financial Modeling in Excel For Dummies. Wiley.
  • Microsoft Support. (2023). Use the Solver add-in to solve problems. https://support.microsoft.com
  • Allen, D., & Thuraisingham, R. (2020). Data Visualization and Data Modeling Techniques with Excel. Springer.
  • Harvey, J. (2017). Practical Financial Management. McGraw-Hill Education.
  • Higgins, R. (2019). Financial Analysis and Decision Making. Routledge.
  • Excel Easy. (2023). Data Tables in Excel. https://www.excel-easy.com

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