Digitization in Controlling

Forecasting Processes through Automation

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Éditeur :

Springer Gabler


Collection :

BestMasters

Paru le : 2020-01-02



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Description

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.
Pages
70 pages
Collection
BestMasters
Parution
2020-01-02
Marque
Springer Gabler
EAN papier
9783658287405
EAN PDF
9783658287412

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2458 Ko
Prix
52,74 €