Digitization in Controlling

Forecasting Processes through Automation

  • Andre Große Kamphake

Part of the BestMasters book series (BEST)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Andre Große Kamphake
    Pages 1-2
  3. Andre Große Kamphake
    Pages 3-25
  4. Andre Große Kamphake
    Pages 27-33
  5. Andre Grosse Kamphake
    Pages 35-58
  6. Andre Große Kamphake
    Pages 59-64
  7. Andre Große Kamphake
    Pages 65-66
  8. Back Matter
    Pages 67-70

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.

  • 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
Target Groups
  • Lecturers and students of management, corporate governance, controlling
  • Controllers and data scientists
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.


Controlling Forecasting Predictive Analytics Digitization Digitalization Decision Tree ARIMA

Authors and affiliations

  • Andre Große Kamphake
    • 1
  1. 1.DüsseldorfGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
  • Publisher Name Springer Gabler, Wiesbaden
  • eBook Packages Business and Management
  • Print ISBN 978-3-658-28740-5
  • Online ISBN 978-3-658-28741-2
  • Series Print ISSN 2625-3577
  • Series Online ISSN 2625-3615
  • Buy this book on publisher's site