Future Trends of Business Intelligence and Big Data Analytics in Ubiquitous Environment
M. Suresh Babu1, K. Bhavana Raj2, D.Asha Devi3
1M.Suresh Babu, Professor, Department of CSE, KL University off Campus, Hyderabad R.R., (Telangana), India.
2K.Bhavana Raj, Assistant Professor, Department of Management Studies, KLHBS, Hyderabad R.R, (Telangana), India.
3D.Asha Devi, Professor, Department of ECE, Sreenidhi Institute of Science & Technology, Hyderabad (Telangana), India.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 773-778 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11660283S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Business intelligence and analytics has emerged as an important area to generate new applications by decision makers thereby assessing the impact of data-related issues in business enterprises. This is a rapid multibillion-dollar across the globe opportunity and is expanding rapidly. Research on Business Intelligence provides an umbrella activity to identify the applications in upcoming research areas of Business Intelligence and Analytics. The current research framework revolves around different areas of analytics and Big Data. Big data is rising up out of the domain of coincidental ventures to standard business appropriation; anyway the genuine estimation of huge information isn’t in the mind-boggling size of it, yet more in its successful use. We will likely acquire knowledge from voluminous information, with billions of approximately organized bytes of information originating from various channels spread crosswise over various areas, which should be handled until the needle in the bundle is found. It can be functional to diverse domains such as improving the Safety, Security, privacy preservation, Intellectual property rights, cyber law, Optimizing Business Processes, improving Health sector, Optimizing Villages, Cities and habitats which build on their existing strengths and tangible benefits as well as on developing new avenues, where conventional and new networks and services are improved by means of electronics, telecommunication technologies, and smart devices for the better use of processed information, Optimizing Machine and Device Performance, improving E-Governance, Financial forecasting, Stock market prediction, fraud detection, E-Business and Market Intelligence, improving Research in Science and Technology.
Keywords: Business Intelligence, Business Analytics, Big data.
Scope of the Article: Data Analytics