Data mining of transactional data for sales of dairy products

Julian Vasilev ()

Theoretical and Applied Economics, 2014, vol. XXI, issue 12(601), 3-12

Abstract: The purpose of this article is to find out the most important factors for sales of dairy products. Transactional data for sales are used. This article is published for the first time. The results of the analysis will show how transactional data may be used for data mining. SPSS is used to analyze the data. Statistical methods (such as independent samples t-test, Chi-square tests, Mann-Whitney U test, one-way ANOVA test) are applied to find dependencies. We suppose that the quantity of sales depends on the year, month, group, item and average price. At the end of the study we found out that “year” and “group” are factors which mostly influence the quantity of a sale. Factors “month”, “item” and “average sale price” do not affect the quantity of a single sale. Mathematical formulas are derived to predict the quantity of a future sale on the basis of independent variables such as year and group of stock.

Keywords: sales analysis; dairy products; SPSS. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://store.ectap.ro/articole/1041.pdf (application/pdf)
http://www.ectap.ro/articol.php?id=1041&rid=117 (text/html)

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:agr:journl:v:xxi:y:2014:i:12(601):p:3-12

Access Statistics for this article

Theoretical and Applied Economics is currently edited by Mircea Dinu

More articles in Theoretical and Applied Economics from Asociatia Generala a Economistilor din Romania / Editura Economica Contact information at EDIRC.
Bibliographic data for series maintained by Mircea Dinu ().