Andre Große Kamphake (13 results)
Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
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Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
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Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
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Condition: New. pp. XV, 70 17 illus. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Language: English
Published by Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
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Paperback. Condition: Brand New. 85 pages. German language. 8.27x5.83x0.28 inches. In Stock.
Language: English
Published by Springer Fachmedien Wiesbaden, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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.
More imagesLanguage: English
Published by Springer Vieweg, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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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, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
- Print on Demand
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer Fachmedien Wiesbaden Jan 2020, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
- Print on Demand
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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 forecasti…ng 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.
Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. XV, 70 17 illus.
Language: English
Published by Springer Gabler, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. XV, 70 17 illus.
Language: English
Published by Springer Fachmedien Wiesbaden, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Electronic  Supplementary Material AvailableThe Challenge of Digitalization Projects.- Optimization of Working Capital Management.- Proceeding for Data-Driven Data Mining Forecasts.- Application of the Decisio…n Tree Algorithm C 5.0.- Implem.
Language: English
Published by Springer Vieweg Jan 2020, 2020
Series: BestMasters, Book 84 of 91. Book 84 of 91 - BestMasters
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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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 p…rocesses 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.
