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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
After successfully completing his master's degree in business administration in major Finance at the University of Cologne, Germany, Andre Große Kamphake works as a controller in the field of business development with a focus on reporting and data analysis.
Bibliographic Information
Book Title: Digitization in Controlling
Book Subtitle: Forecasting Processes through Automation
Authors: Andre Große Kamphake
Series Title: BestMasters
DOI: https://doi.org/10.1007/978-3-658-28741-2
Publisher: Springer Gabler Wiesbaden
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
Softcover ISBN: 978-3-658-28740-5Published: 03 January 2020
eBook ISBN: 978-3-658-28741-2Published: 02 January 2020
Series ISSN: 2625-3577
Series E-ISSN: 2625-3615
Edition Number: 1
Number of Pages: XV, 70
Number of Illustrations: 17 b/w illustrations
Topics: Business Strategy/Leadership, Innovation/Technology Management, Business Process Management