FP&A professionals rely on the Data Table function in spreadsheets for much of their financial modeling. They perform what-if analysis, for example, by creating tables with the range of interest rates and terms, then specifying the data table inputs and generating results. While that method enables them to explore a wide range of scenarios, it is a time-consuming, error-prone approach.
Analytics enable data preparation, calculation and reporting across multiple data sources in ways that facilitate scenario planning with greater forecasting accuracy. By building the application on analytics and automating the process of data collection, users can replicate the Data Table function of spreadsheets with greater accuracy and far less work.
With Alteryx, you can:
- Build data tables for a wide range of scenarios, and easily change parameters after initial rounds of testing
- Develop applications that achieve the results you need with more flexibility for the end user
- Hard-code calculations for whatever scenario you need, yet be able to change them whenever necessary