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Big Data Mining and Business Intelligence Trends

Author

Listed:
  • Harun Bayer
  • Mustafa Aksogan
  • Enes Celik
  • Adil Kondiloglu

Abstract

The conventional databases are not capable of coping with the high capacity data due to different forms of these data’s and fast production speed. In this context, The Big Data structure comes into the scene. The Big Data has been stated as the gold of our age by many authorities. Today, large sizes of data can be analyzed and this led to changes in the lives of people, companies, states, and researchers. The companies develop effective and efficient solutions by analyzing large size of data through big data solutions for their strategic decisions, operational processes, campaign management and marketing techniques. In this research, the introduction has been made to the Big Data architecture, along with daily increasing data mining techniques and methods which will be a solution for accumulating data and current advancements in big data solutions have been addressed. In addition, some well-known companies’ tendency to implement business intelligence systems have been examined. The effects of potential threads which are the results of the big data in the business world are analyzed and a couple of suggestions for the future have been presented.

Suggested Citation

  • Harun Bayer & Mustafa Aksogan & Enes Celik & Adil Kondiloglu, 2017. "Big Data Mining and Business Intelligence Trends," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 7(1), pages 23-33.
    • Handle: RePEc:asi:joabsj:v:7:y:2017:i:1:p:23-33:id:4197
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