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612-822-4611
Digitization in Controlling: Forecasting Processes Through Automation

Digitization in Controlling: Forecasting Processes Through Automation

Paperback

Series: Bestmasters

Business GeneralManagement

ISBN10: 3658287403
ISBN13: 9783658287405
Publisher: Springer Gabler
Published: Jan 3 2020
Pages: 70
Weight: 0.25
Height: 0.18 Width: 5.83 Depth: 8.27
Language: English

Andre Gro e 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.

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