Buch, Englisch, Deutsch, 70 Seiten, Book, Format (B × H): 148 mm x 210 mm, Gewicht: 127 g
Reihe: BestMasters
Forecasting Processes through Automation
Buch, Englisch, Deutsch, 70 Seiten, Book, Format (B × H): 148 mm x 210 mm, Gewicht: 127 g
Reihe: BestMasters
ISBN: 978-3-658-28740-5
Verlag: Springer
Andre Große Kamphake deals with the digitization in controlling and focuses in this context on the analysis of automated forecasting processes within a chemical company. He aims at outlining to what extent and how accurate forecasting processes can be automated in the age of digitization and big data. Therefore, the forecast of the working capital is put at the center since it plays a leading role for the cash collection process. Based on data from 2015 to 2018, two different forecasting models are combined to optimally predict the different components contained in the working capital. The author manages to prove that both a trained forecasting algorithm achieves a prediction accuracy of 92.49 % and statistical methods in machine learning lead to a significant increase in forecasts compared to naive forecasting models.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen Controlling, Wirtschaftsprüfung, Revision
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Wirtschaftswissenschaften Betriebswirtschaft Management Prozessmanagement
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
Weitere Infos & Material
The Challenge of Digitalization Projects.- Optimization of Working Capital Management.- Proceeding for Data-Driven Data Mining Forecasts.- Application of the Decision Tree Algorithm C 5.0.- Implementation of the ARIMA Time Series Model.- Combination of Forecasting Methods Aiming Better Results.