The Report Generation zone handles the generation of the report from the forecasts and other insights created by the project. Prompts used to generate this report can be edited to conform to the user's specific needs.

![Report Generation.png](TsYJQLCkSIZJ)

The report is structured with sections and a series of five prompts generate the different parts of this report.

 1. [Historical Analysis](recipe:compute_results_aggregated_generated): comments the last twelve historical value data points, this is the value that we want to predict in this project.
 2. [Driver Analysis](recipe:compute_drivers_analysis): similarly, comments the last twelve data points of the drivers, that can be as many as selected in the dataiku app.
 3. [Forecast Analysis](recipe:compute_predictions_analysis): generates a written comment of the forecasts on the chosen horizon window.
 4. [Forward Driver Assumption Analysis](recipe:compute_drivers_assumptions_analysis): comments the drivers assumptions that were used to generate the forecasts.
 5. [Conclusion](recipe:compute_conclusion): agregates the previous outputs to write a conclusion to the report.
 
These prompts can be experimented with in the [Prompt Studio](prompt_studio:i10JRSq) and then easily saved as a recipe.

A report is created for each of the business units defined in the dataiku app, they are then saved in a [folder](managed_folder:MUYvkF60). The webapp that allows to edit the reports takes the one initially created in the folder, and then write those that are saved in this [other folder](managed_folder:nwzNmkjP).