Using Microsoft Power BI for sales forecasting as a data mining technique

Laifa Assala () and Hadouga Hassiba ()
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Laifa Assala: Université de Constantine 2 Abdelhamid Mehri [Constantine] = University of Constantine 2 Abdelhamid Mehri = جامعة عبدالحميد مهري قسنطينة 2 (ar)
Hadouga Hassiba: Université de Constantine 2 Abdelhamid Mehri [Constantine] = University of Constantine 2 Abdelhamid Mehri = جامعة عبدالحميد مهري قسنطينة 2 (ar)

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Abstract: This study aims to predict the sales of a commercial organization in order to know the role that modern information technology plays in achieving accurate and rapid processing of data based on the data mining tool represented in the Microsoft Power BI business intelligence program, through a theoretical and applied study. The significant role played by the estimated future sales information in the planning process as well as guiding and rationalizing the decisions of the sales manager to improve the performance of the organization.

Keywords: sales forecasting data mining business intelligence Microsoft Power BI. JEL Classification Codes: C13; E2; sales forecasting; data mining; business intelligence; Microsoft Power BI. JEL Classification Codes: C13 (search for similar items in EconPapers)
Date: 2023-06-04
New Economics Papers: this item is included in nep-cmp
Note: View the original document on HAL open archive server: https://cnrs.hal.science/hal-04183450v1
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Published in International Journal of Economic Performance - المجلة الدولية للأداء الاقتصادي, 2023, 06 (01)

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