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Study of Various Quantitative Models for the Revenue Forecasting at WAFIOS AG

  • “Without data, you're just another person with an opinion.” (W. Edwards Deming) The main objective of this thesis is to establish whether or not a quantitative forecasting method can be utilized by WAFIOS AG for the prediction of future revenues. If so, a data foundation for the forecasting calculations will be defined. I conducted expert interviews with selected employees in the WAFIOS sales department and performed calculations to analyze the possible methods and indicators that WAFIOS might be able to use in their forecasting process. The result of this work shows that forecasting the WAFIOS revenue, using a multiple regression analysis and indicators suggested by the sales department of WAFIOS, is not possible. However, during my research and analysis, other potential methods were discovered that might prove useful to WAFIOS and should therefore be examined more closely at a later time.

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Author:Felix Loth
Advisor:Uwe Hack
Document Type:Bachelor Thesis
Year of Completion:2020
Granting Institution:Hochschule Furtwangen
Date of final exam:2020/02/26
Release Date:2020/02/26
Tag:Autoregressive moving average model; Quantitative forecasting methods; Regression forecasting; Revenue forecasting
Degree Program:IBM - International Business Management
Functional area:Finance & Accounting
Licence (German):License LogoUrheberrechtlich geschützt