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Scientific Study from the year 2015 in the subject Mathematics - Stochastics, , language: English, abstract: The work describes two new heuristic approaches to time series analysis and forecasting for business purposes. Both approaches avoid any assumptions according to assumed process attributes behind the data (stochastic process, stationarity, normal distribution of random noise). Those methods engineer data of any kind of business processes. Only unidentified (inherent) process structures are used for forecasting. Speed represents the drive of current business development. IT is about allowing automatic self-synchronizing (production) processes. Big Data potentially offers the identification of hidden structures. In many companies mobile information access is being used. Multi-Channel B2C, B2B and M2M are gaining the managerial pole position. But nevertheless the quality of data is the key for producing excellent results. It is important that planning is based on as realistic data as possible. After roughly more than 35 years Business Forecasting is back in the focus.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Scientific Study from the year 2015 in the subject Mathematics - Stochastics, , language: English, abstract: The work describes two new heuristic approaches to time series analysis and forecasting for business purposes. Both approaches avoid any assumptions according to assumed process attributes behind the data (stochastic process, stationarity, normal distribution of random noise). Those methods engineer data of any kind of business processes. Only unidentified (inherent) process structures are used for forecasting.Speed represents the drive of current business development. IT is about allowing automatic self-synchronizing (production) processes. Big Data potentially offers the identification of hidden structures. In many companies mobile information access is being used. Multi-Channel B2C, B2B and M2M are gaining the managerial pole position. But nevertheless the quality of data is the key for producing excellent results. It is important that planning is based on as realistic data as possible. After roughly more than 35 years Business Forecasting is back in the focus. Bestandsnummer des Verkäufers 9783346155320
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Taschenbuch. Zustand: Neu. The Heuristic Business Forecasting Methods Revinda and Metrix | Klaus Spicher | Taschenbuch | 20 S. | Englisch | 2020 | GRIN Verlag | EAN 9783346155320 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 118283632
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The Heuristic Business Forecasting Methods Revinda and Metrix
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GRIN Verlag, GRIN Verlag Apr 2020, 2020
ISBN 10: 3346155323
ISBN 13: 9783346155320
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Taschenbuch. Zustand: Neu. Neuware -Scientific Study from the year 2015 in the subject Mathematics - Stochastics, , language: English, abstract: The work describes two new heuristic approaches to time series analysis and forecasting for business purposes. Both approaches avoid any assumptions according to assumed process attributes behind the data (stochastic process, stationarity, normal distribution of random noise). Those methods engineer data of any kind of business processes. Only unidentified (inherent) process structures are used for forecasting. Speed represents the drive of current business development. IT is about allowing automatic self-synchronizing (production) processes. Big Data potentially offers the identification of hidden structures. In many companies mobile information access is being used. Multi-Channel B2C, B2B and M2M are gaining the managerial pole position. But nevertheless the quality of data is the key for producing excellent results. It is important that planning is based on as realistic data as possible. After roughly more than 35 years Business Forecasting is back in the focus.Books on Demand GmbH, Überseering 33, 22297 Hamburg 20 pp. Englisch. Bestandsnummer des Verkäufers 9783346155320
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Scientific Study from the year 2015 in the subject Mathematics - Stochastics, , language: English, abstract: The work describes two new heuristic approaches to time series analysis and forecasting for business purposes. Both approaches avoid any assumptions according to assumed process attributes behind the data (stochastic process, stationarity, normal distribution of random noise). Those methods engineer data of any kind of business processes. Only unidentified (inherent) process structures are used for forecasting.Speed represents the drive of current business development. IT is about allowing automatic self-synchronizing (production) processes. Big Data potentially offers the identification of hidden structures. In many companies mobile information access is being used. Multi-Channel B2C, B2B and M2M are gaining the managerial pole position. But nevertheless the quality of data is the key for producing excellent results. It is important that planning is based on as realistic data as possible. After roughly more than 35 years Business Forecasting is back in the focus. 20 pp. Englisch. Bestandsnummer des Verkäufers 9783346155320
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