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Challenges Faced by Big Data and its Orientation in the Field of Business Marketing

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)

Publication Date:

Authors : ; ;

Page : 8091-8102

Keywords : Big Data; Business Marketing; Data Mining; Challenges & Processing Techniques;

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The business market is considered one of the important directions that the world is looking forward to in all fields. From this point, the huge amount of data that comes to us in the institutions and companies that represent the first degree of business management is increasing to us. The amount of data is increasing day by day and from where this idea came challenges that the labor market faced Analytics is one of the important areas for creating applications and developing these applications that can be functional for different areas such as improving safety, security, privacy, preservation, intellectual property rights, Internet law, improvement Commercial operations, improving the health sector, and improving villages, cities, and habitats that build strength and tangible benefits as well as new development. Roads, where traditional and new networks and services are improved by electronics and telecommunications, smart technologies and devices to better use information, improve device and device performance, improve electronic management financial forecasting and stock market prediction, fraud detection, e-business and market intelligence, improved research in science and technology. In this paper, we will look forward to presenting the tremendous progress in the deep analysis of big data, its challenges, and the future scope as the big data and analyzes lead to the development of methods used by business organizations of all kinds that help businesses to make strong investment decisions. We'll also talk about the different Big Data tools strategies used with their salient features. Future research trends in this field are wide open, but this paper has attempted to facilitate field exploration and development of optimal techniques for processing large data such as search algorithms and data mining.

Last modified: 2020-11-27 16:40:14