Descriptive methods of data analysis for marketing data – theoretical and practical considerations
Manuela Rozalia Gabor
Management & Marketing, 2010, vol. 5, issue 3
Abstract:
Marketing has as main objective the guidance of a firm’s activities according to current and future needs – of consumers’. This necessarily assumes the existence of a suitable information system, and also the knowledge of some modern analysis, processing and interpretation of the so complex information in the field of marketing. The descriptive methods of data analysis represent multidimensional analysis tools that are strong and effective, tools based on which important information can be obtained for market research. The paper comparatively presents some of these methods, respectively: factor analysis, main component analysis, correspondence analysis and canonical analysis.
Keywords: factor analysis; marketing; descriptive methods. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.managementmarketing.ro/pdf/articole/198.pdf (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:eph:journl:v:5:y:2010:i:3:n:8
Access Statistics for this article
Management & Marketing is currently edited by Constantin Bratianu
More articles in Management & Marketing from Economic Publishing House
Bibliographic data for series maintained by Simona Vasilache ().