Business System Analysis

IT210 MILESTONE II

IT DECISION MATRIX ANALYSIS 6

IT Decision Matrix Analysis

Name: Tashia Henderson

Southern New Hampshire University

IT Decision Matrix Analysis

A decision matrix can be denoted as a list of values in columns and rows which allow analysts to not only identify but also systematically analyze as well as rate the performance of connections between sets of information and values. The augmenting levels of digitalization have provoked or rather driven the fashion market and industry to embrace novel trends of diverse technologies that have been emerging in our day to day lives. These technologies tend to facilitate the businesses to merge the concept of online shopping which it in turn facilitates efficient management of inventories together with their shipping. Also, this enables the business to offer online payment and order status processing schemes. This will be effective in the facilitation of a collaboration between the consumers and the business, managing client contacts and lastly, giving consistent management and reports of the entire business. In our case, Brick and Mortar are an instance of a business in the fashion industry, which would wish to adopt this phase for the benefit of both the clients as well as the business’ operations in an efficient competition with different organizations in a similar industry.

In this era, we are living in, everything we are associated with has evolved to contain some or is entirely web-based. Due to this there has been the innovation and implementation of systems such as IT cloud environment and physical IT center data environment. These systems are used in the efficient management and storage of data for various reasons.

In IT cloud environment service packages are hosted over the web making it virtual. The main feature or advantage of this environment is that organizations can store and run their applications without the expensive construction of computer structures. This is made possible by third party firms; physical IT data center environments (Hashem et al., 2015). These types of environments have a massive computer infrastructure which contains components of storage, servers and telecommunications.

Examples of such technologies are:

· Cloud computing

· Intelligent systems

· Knowledge, technology and the big date.

i. Cloud Computing

This aspect of technology consists of the use of the internet like the mobile gadget applications to run and perform businesses. Cloud computing eases the whole workload that gets used by the software on the computer which is not only expensive to install, but also configuring to test software and run regular updates for the systems. Cloud applications are normally run for numerous days with a minimized cost in a mutual manner (Almorsy, et.al, 2016). When it comes to the fashion industry, cloud computing gets used by Brick and Mortar in managing client relationships, accounting operations and human resources. Lyst has embraced this technology highly for an improved operation of the business.

ii. Intelligent Systems

More so, the two system environments encompass other difference. The differences range from resources, management, renting and servers. For cloud services, data storage is on the internet and is physically stored off-premise. This has offered an opportunity to solve the problems of customers easily, their interaction and novel ways of communication. Nordstrom’s and Macys have in turn embraced this technology that has in turn made them compete efficiently with changes in the novel and current trends. Renting is calculated on per logical usage and management is automated and fully centralized. This provides an advantage over the other in that server upgrade and downgrades are faster. On the other hand, IT data center, data is on – premise, requires highly specialized equipment and renting is per physical machine. Additionally, its management is separated depending on the machines usage and organizations renting (Almorsy et al., 2016). Due to each machine performing a specific work these systems are more efficient in handling of enormous workloads.

iii. Knowledge, technology and the big date.

This concept refers to a system of technology that incorporates social media, mobile transaction and internet clicks, content that is user generated like questions regarding sales and diverse forms of transactions. This technology gets used by Macys, Zappos and Bluefly. Knowledge, technology and big data have gotten adopted by numerous businesses to facilitate them to introducing novel ideas, get updates on any matters that are emerging, styles and shapes. This aspect has been attained via opinions, views and comments on social media forums such as YouTube, Twitter and Facebook.

Conclusion

Novel business ventures ought to adopt knowledge and big data management technology because it incorporates social media, mobile transaction and internet clicks that have user generated content like diverse transactions and sales questions. Usually, it requires techniques that are somewhat more powerful in unveiling patterns and trends. This will help in increased marketing of the business and it will also effectively compete with different businesses in the market since the consumers are the main decision makers of what they desire. Organizations and individuals who are choosing between the two ought to consider the named factors. I would advise small organizations to go with the cloud environment because they are not pricey, but for cases of bulky processes data centers are the most appropriate.

References

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information systems, 47, 98-115.

Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security problem. arXiv preprint arXiv:1609.01107.