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Project Management : Assignment

   

Added on  2021-04-17

10 Pages3085 Words62 Views
Project Management

ContentsIntroduction...........................................................................................................................................2Description:...........................................................................................................................................2Conclusion.............................................................................................................................................7Reference:.............................................................................................................................................8

IntroductionIn this paper we are going to focus on the emerging trend of big data analytics on the two case studies which are undertaken. The case study one focuses on the efficiency and effectiveness of the big data analytics in the field of health care system. The second case study describes the use of big data analytics by the semiconductor manufacturing organization. The focus of the paper is to translate the use of big data analytics by the different sector in the working curriculum of their organization. Description:The evolution of big data analytics has completely transforms the working structure of the semiconductor manufacturing industry. The use of big data semantics by the organization in their working infrastructure helps in improving the work based environment of the company by detecting the occurrence of the fault, increasing the capabilities by using effective technology, making use of predictive maintenance program, and etc. The technological gaps of the organization can be filled by using the big data analytics environment. The working quality of the enterprise can be improved by exploring the quality of data provided for the development of the quality solution and using the fundamentals of online expertise. The need of big data analytics is for the semiconductor manufacturing industry because it helps in managing the streamlining process of supply chain in managing raw material according to the demand of the project, coordination between online and offline tools, flexibility in retrieving required information, promotion of the product through the online tools, use of real object virtually, and increasing the decision making capabilities of the manager. The five objectives of the big data which are variety, velocity, volume, value, and veracity helps in improving and adding new capabilities to the existing system. During the initial stages of transforming the working tactics with the big data, company faces many challenge and problems due to the increase of complexity in the designing process of manufacturing product (Osuszek, 2016). Traditionally, the designing of the product was doneon the 2D environment but with the inclusion of 3D data analytics The big data analytics is required due to the faster growth of internet of things, mobile device, advanced version of smart device, and inclusion of artificial intelligence system (Weilki, 2013). The capability of the manufacturing can be enhanced by transforming the working environment with the ease of handling big data efficiently. The applicability of the big data analytics in the field of

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