Items related to The Heuristic Business Forecasting Methods Revinda...
Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for The Heuristic Business Forecasting Methods Revinda...
Stock Image
The Heuristic Business Forecasting Methods Revinda and Metrix
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783346155320
Quantity: Over 20 available
Seller Image
The Heuristic Business Forecasting Methods Revinda and Metrix
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783346155320
Quantity: 2 available
Seller Image
The Heuristic Business Forecasting Methods Revinda and Metrix
Published by
GRIN Verlag, GRIN Verlag Apr 2020, 2020
ISBN 10: 3346155323
ISBN 13: 9783346155320
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783346155320
Quantity: 2 available
Seller Image
The Heuristic Business Forecasting Methods Revinda and Metrix
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783346155320
Quantity: 1 available
Seller Image
The Heuristic Business Forecasting Methods Revinda and Metrix
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 118283632
Quantity: 5 available