Using Extrapolation Techniques of Big Data to Improve the Effectiveness of Sales Forecasting – Empirical Evidence on the Egyptian Passengers Automobile Market
Document Type
Article
Publication Date
4-25-2021
Abstract
Sales forecasting is the tactical and strategic trigger for a significant number of
crucial functional and management activities. Extrapolation techniques will be used
as mathematical tools for demand forecasting, where extrapolation methods
estimates or generate values beyond the range of the original set of data. A
triangulated approach of experimental essences was applied to data analysis
composed of ARIMA, exponential smoothing and grey model GM(1,1). This research
is an endeavor to demonstrate the robustness of certain extrapolation models and
procedures with a view to word improving the effectiveness of sales forecast in
terms of relevance and accuracy. The forecasted sales for both brands is both
reserved and yet relatively optimistic. Thus, manifesting the high risk/high return
profile of the Egyptian passenger automobile market.
Recommended Citation
Kortam, W. ., & Soliman, A. (2021). Using Extrapolation Techniques of Big Data to Improve the Effectiveness of Sales Forecasting – Empirical Evidence on the Egyptian Passengers Automobile Market. Archives of Business Research, 9(4), 91–95. https://doi.org/10.14738/abr.94.10022