Kamphake Andre Große (11 results)

Condition: New. pp. XV, 70 17 illus. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condition: New. In.

Paperback. Condition: Brand New. 85 pages. German language. 8.27x5.83x0.28 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Taschenbuch. Condition: Neu. Digitization in Controlling | Forecasting Processes through Automation | Andre Große Kamphake | Taschenbuch | xv | Englisch | 2020 | Springer Vieweg | EAN 9783658287405 | Verantwortliche Person für die EU: Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condition: new. Questo è un articolo print on demand.

Condition: New. Print on Demand pp. XV, 70 17 illus.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 88 pp. Englisch.

Condition: New. PRINT ON DEMAND pp. XV, 70 17 illus.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Electronic &nbspSupplementary Material&nbspAvailableThe 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.- Implem.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 88 pp. Englisch.