Wednesday, May 15, 2019

Technology Evaluation - Big Data Analytics Research Paper

Technology Evaluation - Big entropy Analytics - Research Paper ExampleFurthermore, Sathi (2012) explains that to the highest degree enormous data projects normally originate from the desire of answering specific questions relating to business operations.These questions might embarrass on how to increase sales, effectively manage the organizations human resources, and orders of cutting organizational costs. Liebowitz (2013) therefore maintains that with the right chopine of big data analytics, an organization will gain the capacity of increasing efficiency, boosting sales, improving operations, risk management, and customer service. This paper is an evaluation study plan, aimed at understanding the benefits and costs of using the technology of Big Data Analytics. In meeting the objectives of this paper, the researcher will identify the research questions that this technology aims to solve, methods used in conducting the study, the limitations, and timeline of events.As large busi ness organizations initiate measures of improving the protective cover system of their computer networks, a common method is being used to employ security staff, as well as establishing a central instruction Technology security system (Bethlehem and Biffignandi, 2012). Business organizations have increased an emphasis on the physical security, individualised safety, as well as the protection of their important critical infrastructures. This has led business organizations and higher acquirement institutions to develop a wide range of job titles, reporting relationships, segmented job functions, for purposes of describing how to approach the retirement of data, and protecting personal information, intellectual properties, and security of networks and computer systems (Kibert, 2012). Big Data Analytics concerns itself with analyzing enormous volumes of data, and this becomes a security issue.

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.