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Use Case

What-If Analysis in Financial Forecasting

 

Financial modeling depends heavily on what-if analysis. Most professionals in Financial Planning & Analysis (FP&A) turn to the Data Table function in spreadsheets for this, but building accurate models takes time, effort and expertise.

Efficiency Gains

Decrease the amount of time it takes to process and calculate financial models by building easy-to-use applications

Top-Line Growth

Increase flexibility and democratize solutions for users across departments

Bottom-Line Returns

Build data tables for any range of scenarios, then encourage users to come up with more dynamic solutions

Business Problem

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.

Alteryx Solution

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
 

Alteryx Office of Finance Starter Kit Demo

 

Additional Resources

 
 
Starter Kit for Office of Finance
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Starter Kit for Supply Chain
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Starter Kit for Tableau

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