Internet of Thing (IoT)
The feasibility analysis can be perceived as an evaluation of the project with the aim of determining whether it is technically or economically viable. The two key aspects to be considered in feasibility analysis included quantitative and qualitative data sources. To start with qualitative data is a certain kind of data that can be used to distinguish or make an estimation of an occurrence though it does not determine its properties or features. It is concerned with the description, an observation like taste color, and texture, quality as well as an explanation. On the other hand, quantitative data can be calculated using an arithmetic scale and can be scrutinized with use of statistical tool including tables, chart, and graphs. The said arithmetic scale applied include finances, heights, time, length, age, temperature, volume, height as well as speed. This essay will discuss the type of qualitative, quantitative data as well as market analysis applied to determine the market feasibility of the internet of things. Additionally, the paper will also focus on Potential key threats that encountered during market introduction highlighting certain critical success factors to determine the success of the deployment.
Qualitative analysis Internet of Thing (IoT)
AS discussed above, qualitative analysis focus on the quality of the product. Therefore qualitative data analysis of Iot was analyzed as follows. Internet of Things (IoT) quality is high since IoT offer very reliable internet protocol addressed in internet connectivity and communication associated with all activities in this object. IoT is an internet-enabled system that along with devices is useful while executing the command and prompt via internet protocol programmed in a very organized manner to carry out its duties. Additionally, through observation, it is obvious that the program offers an extensive infrastructure which can be used in connecting individuals over large-scale internet to facilitate data and information sharing. According to the research, it was evident that IOT provides services or connection on any scale . Don't use plagiarised sources.Get your custom essay just from $11/page
Quantitative analysis of Internet of Thing (IoT)
As discussed quantitative data is calculated using an arithmetic scale and can be scrutinized using statistical tool including tables, chart, and graphs. The calculation can be determined through the use of finances, heights, time, length, age, temperature, volume, height, and speed. The internet of thing IoT technology has highly employed the use of quantitative data. Interestingly the aspect of data grouping, the data streams and data services that were established through making the whole project digital involves construction of key four models namely Monetize, Manage, Extend and Operate useful to all internets (Grigsby, 2016).
Additionally, the technology makes use of scales in determining the internet speed, measurements of the service areas as well as the quantity of the extent to which the network can be accessed additionally graphs and charts data presentation can be used to illustrate peruses of the services, drive insurances, parking places, business-like tools. Lastly, an analysis of the risks, threats, and competitors in the market is done using graphs and charts presentations (Shuttleworth, 2018). Generally, this technology commences with innovating the ideas of communication and internet protocol to provide network facilities at every location and on each scale.
Key Potential threats of the Internet of Thing (IoT)
The main security threat is that the information technology system has a concern as it prevents a business from getting into the platform of the IT firm. According to the analysis, it is clear that the IoT security and privacy risk a commonly when it comes to authentication and access. The quick modification from the service providers can introduce leaks to the privacy of the accessed through the mobile through the internet. Additionally, outsourcing and distribution of computing introduce the risk correlating with the information (Cisco, 2014).
Critical success factors to determine the success of deployment of Internet of Thing (IoT)
For the project can be more competitive in the market, there is a need for considering the main factors which can lead to the success of deploying internet of thing. Strategic planning before implementing lead to the success of the project can in ultimately manner result to a reduced rate of the failure. Allocation of machinery and equipment from the modern-day inventory of devices will work highly during the deployment of IoT (Brown& Rappert, 2017). The success of the project will ensure that it helps in executing the duties of sharing the information as well as relevant material in an organization.
References
Brown, N., & Rappert, B. (2017). Contested futures: A sociology of prospective techno-science. Routledge.
Cisco, (2014). “Gartner Identifies the Top 10 Strategic Technology Trends for 2015.” Gartner. Retrieved from www.com: http://www.gartner.com/newsroom/id/2867917
Grigsby, L. L. (2016). Electric power generation, transmission, and distribution. CRC press.
“Internet of Things (IoT)” (2018). “Cisco.” Retrieved from http://www.cisco.com/web/solutions/trends/iot/overview.html
Shuttleworth, M. (2018). “Validity and Reliability.” Explorable. Retrieved from https://explorable.com/validity-and-reliability