1. Student name Student ID Degree program Area 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 (if any) you have used for collecting the data.

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

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

8. Data Analysis (Cont…)‏
Students are required:
To present all the financial statements (balance sheet, profit and loss account, cash flow statement etc) in their presentation.
You are required to show complete working of ratios.
Interpret the results of each in your own words instead of presenting on slides (however, some key points can be mentioned).

9. Sample for Presenting Ratio Analysis
First mention the Ratio’s Formula then working of ratio in the following way:
Year 20XX
Company A
655, 359,574,000 / 226, 426,625,000 = 2.89
(mention unit of the ratio)
584, 488,232,000 / 202, 548,387,000 = 2.89
523, 907,344,000 / 190, 633,538,000 = 2.75
Company B
752, 219,526,000 / 340, 994,479,000 = 2.21
657, 239,861,000 / 284, 034,788,000 = 2.31
554, 226,886,000 / 261, 316,870,000 = 2.12
Company C
852, 229,456,000 / 200, 844,669,000 = 4.24 (mention unit of the ratio)
357, 139,061,000 / 184, 004,752,000 = 1.94
554, 000,220,000 / 161, 206,870,000 = 3.44

10. Sample for Presenting Ratio Analysis
After presenting the table for working of ratio, you are required to present the graph of that ratio
0.5 1
1.5 2
2.5 3
3.5 4
4.5
Year 20xx
Company A
Company B
Company C
Follow the same pattern for presenting rest of the ratios.

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

12. 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.

13. Thank You