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Cloud computing is the use of computer software and hardware over a network normally as a service. This means that in order for someone to use the software and hardware they do not need to have them physically, all they need is access to the network where the respective cloud network is located (Agha, 2012). A good example of cloud computing is where hospitals compile all their information centrally and staff with verified passwords can access the information irrespective of the geographical location.
Analytics can be considered the communication and discovery of patterns in data sets. Analytics are normally used in areas where that have a lot of recorded information. Analytic greatly depends and relies on computer programming operations and statics. Analytics can be used in the healthcare system where patient information may be used to predict future trends in diseases and general health of the population.
Healthcare has been curbed by a lot of problems. It is filled with a lot of setbacks and short comings. One of major inefficiencies of the healthcare system is the old filling system. This is where all records including patient records and disease records are stored in the manual hardcopy files. There are no softcopy backups thus making the hard copy files the only files on record. This has proved cumbersome since there are hospital records that date back to almost the 1900s. Finding such a record using the manual filing system is very difficult. As it is known, almost all disease and outbreaks repeat themselves in time. This means that doctors might be unable to identify some old diseases just because a record of the disease in the past cannot be located.
Another major inefficiency in healthcare is administration. Administration in the healthcare system is very poor yet a lot of money is used in the administration of all health care system. This is double inefficiency. Administrating healthcare especially in underdeveloped countries is done in a
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Cloud computing is a new IT paradigm that allows provisioning of IT infrastructure through the flexible pay-per-use model. Its application in industry is still new because it has not yet been fully understood.
This research provides a number of analysis and reference points that clearly identifies the benefits of Cloud computing, however, the concern is that businesses have adequate solutions that assists in implementation of the key criterion used in measuring the success embedded within Cloud Computing.
This information cannot be processed manually by human beings, and it must get assistance from the devices that will make work easier through quick, efficient, and reliable analysis and reporting. In this regard, companies have to rely on the IT knowledge to realize most of their objectives in the company (Madden, n.d.).
Scope for Exploiting Big Data and Big Data Analytics in the Local Transport Industry. Huge volumes of all types of data are generated on a daily basis globally. This data is continuously stored in ever expanding storage facilities and it is always available for retrieval by any interested party depending on conditions placed upon it.
Nevertheless, for organizations to achieve the benefits of cloud computing, organizations have to tread carefully and have the right map for migration to cloud environment. Among other things, organizations have to develop enterprise applications that are suitable for distributed environments and appropriate data, information and infrastructure architecture.
To distinguish, the researchers define Software as a Service (SaaS) as the services provided over the Internet. The hardware and software combine to form the cloud. When cloud service providers bill their customers for only the services they use, the researchers define this business model as a public cloud; the service is utility computing.
In general the data explosion is projected to increase with time especially with new data types being developed and increased access to networked devices all over the world including smart phones and geo-positioning devices (Woo et al.,
This shapes customers consumption patterns, optimize unit commitment, and prevent power outages and more. All this has been done by the help of big data analysis in industrial engineering.
Simultaneously, these advances in technology also
as not properly backed by talents, skills as well as adoption of an organizational culture that will allow the firms to capitalize on the full potential of IT. According to Minelli , Chambers and Dhiraj (2013, 0112), maximum benefits were only registered among firms that
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