Excel has always been recognized as the go-to software for financial modeling. However, there are significant shortcomings in Excel that have made the serious modeler look for alternatives, in particular in the case of complex models. The following aspects are some of the disadvantages of Excel that financial modeling software seeks to correct:
- Large datasets: Excel struggles with very large data. After most actions, Excel recalculates all formulas included in your model. For most users, this happens so quickly that you don't even notice. However, with large amounts of data and complex formulas, delays in recalculation become quite noticeable, and can be very frustrating. Alternative software can handle huge multidimensional datasets that include complex formulas.
- Data extraction: In the course of your modeling, you will need to extract...
