Effective Combination and Analysis of "Big Data" and "Classic Marketing"

EasyChair Preprint no. 3596

Abstract

The purpose of the research is to study the difference between big data analysis (BDA) and classic marketing analysis (CMA), and use the solutions provided by big data analysis (BDA) to solve the problem of production failure. Through theoretical research, to provide better marketing strategies to promote production. The research combines big data analysis and classic analysis, and chooses high standards of complexity and regulations to combine to produce more valuable insights to improve production efficiency. In addition, the research shows that the existence of predictive knowledge can show the effect of testing, and then develop better marketing efforts. The conclusion shows that marketing behavior can identify customer needs and interests and obtain early decisions as a decision-making application for production improvement.

Keyphrases: Big Data Analytics, Classical Data Analytics, Marketing

@Booklet{EasyChair:3596,
  author = {Pin-Yuan Huang and Hsiao-Chi Ling and Ruei-Yuan Wang},
  title = {Effective Combination and Analysis of "Big Data" and "Classic Marketing"},
  howpublished = {EasyChair Preprint no. 3596},

  year = {EasyChair, 2020}}