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Determining Marketing Mix of CV Nutri Pro by Using Big Data Analytics

Authors: Vira Maulina Putri; Manahan Siallagan;

Determining Marketing Mix of CV Nutri Pro by Using Big Data Analytics

Abstract

Technological growth supports the acceleration of the health industry. Technology provides an opportunity for business actors to convey product advantages to be disseminated widely through digital media. Apart from providing benefits in the easy dissemination of information, digital media can be a sales media for the health industry. Based on data from Tokopedia (e-commerce with the most users in Indonesia), the biggest sales are dominated by health products. Large amounts of data (big data) available in e-commerce can be extracted using the Web Scraping method. Big data can be processed to gain certain insights in achieving competitive advantage. CV Nutri Pro as a medium-sized business has limited data which causes the marketing mix that has been prepared beforehand to be incomplete. This condition causes out of sync, where there are demands that cannot be fulfilled. Based on the opportunity to utilize big data, CV Nutri Pro can determine a comprehensive renewable marketing mix. Each aspect of the marketing mix (4Ps) will be processed using big data analytics. The methods used include Pivot Data, K-Means, and Multidimensional Scaling (MDS). This research provides new insights for the company to renew marketing mix.

Related Organizations
Keywords

Data Analytics, E-Commerce, K-Means, Marketing Mix, MDS, Pivot Data, Web Scraping.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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