IT, Big Data & Firm Organization Essay Example | Topics and Well Written Essays - 2500 words - 1

IT, Big Data & Firm Organization - Essay ExampleAccording to Aluya (2014, 67-71), the reinforcement of organizational changes by firms can only be achieved by means of the adoption of computers and big selective information so that an organization can attain some level of success. Organizational change is paramount for success to be agnise through investment in big data as this will prevent losses.Before the basis of computerized systems and big data, managers used to depend on intuition, their gone experiences as well as personal judgment in order to make the necessary decisions. This on most cases led into wrong decisions that affected the firms negatively. Connaughton (2014, 109-129) contends that the introduction of new methods such as prediction markets, big data, A-B testing and analytics has greatly assisted in lowering the cases of personal decisions that were initially made by the managers. The usual application of big data with analytics has been attached to great pote ntial in the healthcare care. The pairing of big data with cloud based systems ensures a cost effective means of delivering healthcare cloud services.This essay focus on the evolution of the use of big data in organizations in their quest for cleanse storage and transmission of resources materials and information. The health care industry is one of the quickly changing industry owing to the ever increasing population that is increasing the adopt for better health care services. As a result, companies in the health industry have to consider the introduction of the big data analytics so as to promote quick relay of information as well be in a position to offer better services.Big Data refers to data sets that are of great sizes beyond the ability of generally used software tools which are used to incorporate, capture, curate, mange as well as processing of data in spite of appearance a tolerable elapsed duration. The big data is composed of movement of dozens of terabytes to many petabytes of data at any