Once the data is gathered, identify the key assumptions and inputs that will drive the model. These may include revenue growth rates, operating margins, capital expenditures, and discount rates. It's important to carefully consider these assumptions, as they can have a significant impact on the model's output.
With the assumptions and inputs defined, develop the financial statements - the income statement, balance sheet, and cash flow statement - for the investment or business. These statements should be built using the assumptions and inputs, as well as any relevant accounting principles and industry-specific considerations.
Next, perform a valuation of the investment or business using an appropriate valuation method, such as discounted cash flow (DCF) or multiples analysis. This step helps determine the potential return on investment and whether the investment or business is attractive from a financial standpoint.
Finally, conduct a sensitivity analysis to test the model's output under different scenarios and assumptions. This helps identify potential risks and uncertainties, as well as opportunities for improvement.