| dc.contributor.advisor | Villalón-Turrubiates, Iván E. | |
| dc.contributor.author | Cisneros-Chavira, David A. | |
| dc.date.accessioned | 2023-06-05T22:02:30Z | |
| dc.date.accessioned | 2025-03-25T21:22:24Z | |
| dc.date.available | 2023-06-05T22:02:30Z | |
| dc.date.available | 2025-03-25T21:22:24Z | |
| dc.date.issued | 2023-05 | |
| dc.identifier.citation | Cisneros-Chavira, D. A. (2023). Forecasting and Automating Accurate Levels of Reserve for Contra Revenue, Using Artificial Intelligence. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO. | es_MX |
| dc.identifier.uri | https://hdl.handle.net/20.500.12032/160177 | |
| dc.description | The process of balance sheet forecasting from the Contra revenue team, within HP Inc, is currently a manual process that takes a lot of manual work to make, currently only two forecasts are provided, one per business, and the scope needs to be expanded to the market level organizations in the company. The main objectives are to improve the forecast, to expand the scope and to automatize the process. The solution is a friendly executable that uses Python and an ARIMA algorithm to provide the next value of reserve entering an Excel file with organized data, that goes through the algorithm, and exiting an Excel file for the analyst to keep working on their own deliverable. | es_MX |
| dc.language.iso | eng | es_MX |
| dc.publisher | ITESO | es_MX |
| dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | es_MX |
| dc.title | Forecasting and Automating Accurate Levels of Reserve for Contra Revenue, Using Artificial Intelligence | es_MX |
| dc.type | info:eu-repo/semantics/masterThesis | es_MX |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | es_MX |
