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

Author

Listed:
  • 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))

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.

Suggested Citation

  • Laifa Assala & Hadouga Hassiba, 2023. "Using Microsoft Power BI for sales forecasting as a data mining technique," Post-Print hal-04183450, HAL.
    • Handle: RePEc:hal:journl:hal-04183450
    Note: View the original document on HAL open archive server: https://cnrs.hal.science/hal-04183450v1
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    More about this item

    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;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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