Utilizing Dark Data Analytics to Analyze Demographic Influences on Face Wash Buying Patterns in South Delhi
DOI:
https://doi.org/10.48047/64crgn73Keywords:
Moderate, Consumer, Behavior, Dark data, Technological, Employment, EducationalAbstract
This research explores the relationship between consumer demographics and purchasing patterns in South Delhi's face wash segment, utilizing advanced Dark Data analytics to uncover hidden insights. The study highlights how technological advancements, rising educational levels, and economic growth have increased consumer focus on beauty, hygiene, and product quality.
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References
Ajis, A. F. M., Zakaria, S., & Ahmad, A. R. (2022). Modeling Dark Data Lifecycle Management: A Malaysian Big Data Experience. International Journal of Academic Research in Business and Social Sciences, 12(3), 328–344.
Akter, S., Wamba, S.F., Gunasekaran, A., Dubey, R. and Childe, S.J. (2016) ‘How to improve performance using big data analytics capability and business strategy alignment?’, International Journal of Production Economics, 17 August, Vol. 182, pp.113–131.
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