Big data for the comprehensive data analysis of IT organizations |
| |
| Institution: | 1. Department of Computer Science, College of Science and Humanities, SRM Institute of Science And Technology, Ramapuram, Chennai, Tamil Nadu, India;2. Department of Computer Applicatiobs, College of Science and Humanities, SRM Institute of Science And Technology, Ramapuram, Chennai, Tamil Nadu, India;1. Dept. of Economics and Statistics, University of Salerno, Italy;2. Dept. of Business and Law, University of Milan \"Bicocca\", Italy;3. ELIS Innovation Hub, Rome, Italy;4. Dept. of Economics, Giustino Fortunato University, Italy;2. College of Engineering & IT, University of Dubai, UAE;3. Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia;4. Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia;1. Department of Chemical Engineering, Covenant University, Ota, Ogun State, Nigeria;2. Department of Pure and Industrial Chemistry, Kogi State University, Anyigba, Kogi State, Nigeria;3. Department of Mechanical and Biomedical Engineering, Bells University of Technology, Ota, Ogun State, Nigeria;1. Department of Industrial Engineering, University of Padova, via Marzolo, 9, 35131 Padova, Italy;2. Department of Statistical Sciences, University of Padova, via C. Battisti, 241, 35121 Padova, Italy;3. Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA 16802, United States of America |
| |
| Abstract: | Businesses have begun using IT apps for a variety of reasons in recent years. The rapid advancement of new technologies has opened up vast prospects for businesses to digitise their operations, enhance their use of information systems, and compete more effectively in the global marketplace. Information technology (IT) businesses can benefit greatly from Big Data analytics due to the depth and breadth of their data analysis. Big data can be used to examine IT departments in the following ways: performance analysis, forecast maintenance, security analysis, and resource analysis. When it comes to boosting their business's dependability, speed, quality, and effectiveness, most companies rely on big data. Companies can gain a competitive edge thanks to the massive amounts of data that big data is able to collect, store, and manage. Big data analytics is being used by a growing number of businesses to make sense of their mountain of data. In this paper, we examine the ways in which IBM, TCS, and Cognizant use big data within their operations. Long-term planning strategies and business intelligence practises are also suggested in this research as means of protecting personal information. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
