Affiliation:
1. Birla Institute of Technology, India
Abstract
With an ever-increasing amount of data created, it has become a major challenge for infrastructures and frameworks to process a lot of information inside stipulated time and resources. So as to effectively extract from this information, organizations are required to discover new devices and strategies in particular for large information preparation. Therefore, data analytics has become a key factor for organizations to uncover hidden data and accomplish the upper hand in the market. As of now, tremendous distributions of larger data and information processing make it hard for experts and specialists to discover points they are keen on and track forward-thinking. This chapter puts forth an outline of data analytics, extension, and discoveries just as opportunities emancipated by analysis of data. The chapter also deals with various applications of data analytics which include applying an algorithmic or mechanical procedure to infer bits of knowledge, for instance, going through a few informational collections to search for significant connections between one another.
Reference22 articles.
1. Bertsimas, D., & Kallus, N. (2014). From predictive to prescriptive analytics. arXiv preprint arXiv:1402.5481.
2. Big data analytics: a literature review
3. Big data analytics: A framework for unstructured data analysis.;T. K.Das;International Journal of Engineering Science and Technology,2013
4. Big data analytics capabilities and knowledge management: impact on firm performance
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献