EconPapers    
Economics at your fingertips  
 

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

Assala Laifa and Hassiba Hadouga
Additional contact information
Assala Laifa: University of constantine2 (Algeria)
Hassiba Hadouga: University of constantine2 (Algeria)

IJEP, 2023, vol. 6, issue 1, Pages : 356-368

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 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijep.dz/index.php/IJEP/article/view/24 Abstract page (text/html)
https://ijep.dz/index.php/IJEP/article/download/24/23 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjm:ijep00:v:6:y:2023:i:1:id:24

DOI: 10.54241/2065-006-001-022

Access Statistics for this article

More articles in IJEP from ALPEC The performance of Algerian economic institutions in light of international economic mobility , Boumerdes University
Bibliographic data for series maintained by BOUZID Ahmed ().

 
Page updated 2026-07-24
Handle: RePEc:bjm:ijep00:v:6:y:2023:i:1:id:24