Digitization in Controlling: Forecasting Processes through Automation (BestMasters) - Tapa blanda

Libro 84 de 91: BestMasters

Große Kamphake, Andre

 
9783658287405: Digitization in Controlling: Forecasting Processes through Automation (BestMasters)
Tapa blanda
ISBN 10: 3658287403 ISBN 13: 9783658287405
Editorial: Springer Gabler, 2020

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

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.

Contents
  • 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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer Gabler
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3658287403
ISBN 13 
9783658287405
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
88
Contacto del fabricante
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