A Study of Big Data Analytics: Tools, Applications, and Information Value Chain

In the internet world, data is generated quickly, every second, from different sources. Therefore, various applications, including social networking sites, e-commerce websites, review websites, mobile apps, and various blogs, generate terabytes of random data in their state. So, it is a big problem to store and manage data. Extracting relevant information to make decisions on these big data sets requires a lot of effort at various levels. As a result, big data analysis research is necessary in the automobile industry. In this paper, we focus on the meaningful impact of a big data analytic approach to achieve faster and more accurate results in various areas such as education, healthcare, insurance, banking and finance, manufacturing, government, and marketing, and also play a big role in achieving sustainable development goals. In this paper, we propose a new information value chain framework for big data analytics processes. We also examine some important analysis tools that can handle huge amounts of data.