<span id="version" style="color: grey; float: right">Version 1.1.0</span>

Finance teams present profit and loss results periodically in reports and financial statements. These results can be sub-categorized by different types of segmentation such as regions, product types, or streamlines. To estimate future spending ability, improve resource allocation strategies and provide a view of expected future performance, finance teams regularly attempt to forecast financial results.

## Benefits
This solution offers the user the ability to easily forecast revenues, expenses, or any type of financial value using machine learning models while gaining insights on macroeconomic and company-specific drivers. Finance teams will be able to compare manual forecasts, simple machine learning forecasts, and advanced machine learning forecasts with actual results. In addition, finance teams will have the possibility to test various drivers and understand which ones are relevant to the prediction.

## Summary

- [Concepts](article:10): All the concepts needed to fully understand the project are described more generally in this article.

- [Deliverables](article:9): This article goes into the specifics of the flow, the Dataiku application, and the dashboard.




