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Student name Student ID Degree program Area of specialization

Student name Student ID Degree program Area of specialization. Title of the Project. Introduction of the Project. Describe brief and comprehensive introduction of your project topic. Objectives and Significance.

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Student name Student ID Degree program Area of specialization

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  1. Student nameStudent IDDegree programArea of specialization

  2. Title of the Project

  3. Introduction of the Project Describe brief and comprehensive introduction of your project topic.

  4. Objectives and Significance In objectives describe the purpose that you want to achieve through this project. Significance describes how would this project benefit the context in which it is being carried out.

  5. Data Collection Describe the sources and tools you have used for collecting the data.

  6. Data Processing Describe the methods used to extract and process the information you gathered.

  7. Data Analysis Describe how you have analyzed the data. You can also use graphs, charts, diagrams, etc.

  8. Data Analysis (Cont…)‏ “For those students who did work on Financial Statement Analysis” Such students are required: To present all the financial statements (balance sheet, profit and loss account, cash flow statement, etc) in their presentation. Financial analysis Ratio analysis Horizontal analysis Vertical analysis Industry averages and comparison with competitors You are required to show complete calculations and interpret the results in your own words.

  9. Sample for Presenting Ratio Analysis Ratio Analysis Company A Company B Year 20xx Year 20xx Year 20xx Year 20xx Year 20xx Year 20xx Current Ratio = Current Assets/ Current liabilities 9,664,784 / 3,779,631 =2.56 13,536,082 / 7,410,926 = 1.83 14,095,657 / 9,444,554 = 1.49 2,435,529 / 3,087,066 = 0.79 3,681,213 / 3,906,115 = 0.94 6,269,918 / 5,796,972 = 1.08 You are required to present ratio analysis in the following way:

  10. Conclusion/Findings Describe the conclusions drawn or results sorted out after raw data has been collected and analyzed systematically.

  11. Recommendations Describe proposed solutions or plans to cover and remove all the ills and deficiencies that you think (in light of data processing and analysis) needs to be removed or improved.

  12. Thank You

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