A Comparative Analysis of Decision Making Methodologies in Sales Data Mart

Author

Prema, A. ; Clara, V. Therese ; Pethalakshmi, A.

Author_Institution

Dept. of Comput. Sci., Bharathiar Univ., Coimbatore, India

fYear

2014

fDate

Feb. 27 2014-March 1 2014

Firstpage

108

Lastpage

113

Abstract

Data marts are nominated to accomplish the role of tactical decision support for managers accountable for a specific business area. The data from data marts is typically gathered and made offered for business analysis. A planned ETL process populates data marts within the focus on precise data warehouse information. Extract-Transform-Load (ETL) functions as a process which is used to receive information from one or more sources. The next step is to normalize information into a convenient schema and information is appended into some other repository. This paper analyses the three decision making methods and find out the best decision making methodology to improve sales promotion in sales data mart by using arithmetic mean and rank matrix methods.

Keywords

data analysis; data warehouses; decision making; decision support systems; marketing data processing; sales management; arithmetic mean method; business analysis; data warehouse information; decision making methodologies; decision support; extract-transform-load functions; information repository; planned ETL process; rank matrix method; sales data mart; sales promotion; Data mining; Data warehouses; Databases; Decision making; Markov processes; Transforms; Data mart; Decision making; Decision making methodology; ETL; arithmetic mean; rank matrix;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing and Communication Technologies (WCCCT), 2014 World Congress on

Conference_Location

Trichirappalli

Print_ISBN

978-1-4799-2876-7

Type

conf

DOI

10.1109/WCCCT.2014.28

Filename

6755116