Business Systems Analysis Help

Business Systems Analysis Help

IT 210: Business Systems Analysis

IT 210 Business System Analysis

Rodreca Linen

Southern New Hampshire University

IT 210: Business System Analysis

Professor: Kathryn Laustsen

September 26, 2021

IT 210 Business System Analysis

Abstract

Because of the rapid rate of digitization, the fashion industry and the market have been compelled to embrace new technological developments. These technologies will help the firm to incorporate online shopping, as well as to manage stocks and ship orders efficiently. By using these technologies, businesses can give order status information as well as online payment processing means. This, in turn, leads to good collaboration between firms and their customers. It also helps firms ensure effective client interactions, the provision of regular reports, and the overall administration of the business. Among the fashion sector businesses that might gain from such a shift are Brick and Mortar, which would better compete with other companies within the industry. The following technologies have been selected for discussion in this paper:

· Big data and knowledge technology

· Cloud computing.

Selected Technologies to Focus On

Big data and knowledge management

Big data and knowledge management form an integral technological system capable of improving business performance and practices. It is often necessary to employ procedures that are stronger in terms of revealing trends and patterns. It refers to a large volume of public data, private information, the exhaust system of a communal data system, and self-quantification data (Gołuchowski & Filipczyk, 2020). Data mining is defined by large amounts of stored and generated data, a wide variety of data types, the speed with which information is generated to satisfy demand, the variability of data captured, and the quality of the data captured. Many organizations have embraced big data and information to facilitate new ideas that would enable them to have a competitive advantage within the fashion industry. This has been accomplished using social media suggestions as well as opinions. This assists in gaining a deeper understanding of clients, what they want, and the expansion of existing markets.

The fashion industry is embracing the digital age at a breakneck pace. For example, Dolce & Gabbana’s Fall/Winter 2018 fashion show is a beautiful example of how drones can be used to replace humans on the runway. There’s more to fashion than just robot models and flying handbags, which means that big data is the current fashion buzzword of the moment. Businesses from all industries have benefited from the advancement of the digital age, which has enabled them to gather massive amounts of relevant information. Organizations can benefit from big data in various ways, including cost savings, process tracking, the development of new products, and more. Naturally, businesses worldwide are capitalizing on this trend to their advantage, and the fashion sector is not an exception (Stark & Hawamdeh, 2018). Apparel designers, producers, and retailers are using large amounts of data in new and inventive ways. Previously, while deciding on a season’s creative direction, the fashion industry relied on intuition and gut instinct to make the right decision.

However, with fashion accounting for 2% of global GDP and 211 million internet buyers in the United States alone, fashion marketing and the fashion business are becoming more adept at using the opportunities presented by big data. The fashion sector may benefit from big data by streamlining the product life cycle management process. Manufacturers and developers can expedite their product lifecycle on practically every level if they have access to such a plethora of customer data as is available now. Fashion firms may gauge customers’ response to samples and concepts and then change their products to meet their needs. In this way, users are figuratively participating in the product design process. A high level of consumer acceptance virtually ensures the commercial success of a product.

Big data has played a significant part in the fashion industry. It facilitates the engagement of clients and fashion enthusiasts by providing appropriate material. This involvement has led to the development of highly novel ideas and concepts. Third, several experts have emerged whose mission is to change the modern digitalized fashion sector into something better considering that they have a better grasp of the current trends and thoughts (Stark & Hawamdeh, 2018). Bluefly, Zappos, and Macy’s are among the companies that use the technology.

Cloud computing

It entails the use of the internet and mobile device applications to carry out and operate company activities and operations. It reduces the total amount of work required by computer software, which is expensive to install, set up, test, and execute secure and regular system upgrades regularly (Dempsey & Kelliher, 2017). This technique benefits a wide range of sectors, including the garment sector. According to Gartner, Cloud computing has the potential to significantly improve the efficiency and time-to-market of clothing firms all over the world. When using cloud computing, payment is typically made for upgrades to be performed automatically. Cloud applications can be used for days at a reduced cost because they are shared (Abdalla & Varol, 2019). Customer relationship management, human resource management, and accounting operations are all handled by the fashion industry through the usage of this software. Lyst has enthusiastically adopted this technology to improve the overall process of the company. In general, cloud computing enables businesses to reduce or eliminate the need for upfront infrastructure investments. Clothing companies may concentrate on designing, manufacturing, and retailing clothes rather than managing a network of computers if they use cloud computing services rather than building their infrastructure. Many sectors benefit from this technology, which allows them to become more efficient while potentially saving money in the process. Cloud computing will be suitable for brick-and-mortar businesses because it will enable them to build up what is effectively a virtual office, which will allow them to connect to the company from any location at any time, which will give them greater flexibility (Abdalla & Varol, 2019). One method that brick-and-mortar businesses can use this new technology is cloud-based (PLM) systems, cloud PoS systems, and other technologies. Virtualization is the most critical technology that makes cloud computing possible. In computing, virtualization software divides actual computer equipment into several “virtual” computing units, facilitating the computing tasks on the network.

Recommendations

According to the findings and analysis of the technologies discussed, this paper recommends brick-and-mortar businesses adopt big data and knowledge management technology because this technology can incorporate internet clicks, mobile transactions, social media, and other essential forms of transactions that will help the business significantly. It is often necessary to employ procedures that are stronger in terms of revealing trends and patterns. This will help the company sell itself more successfully, giving it a competitive advantage within the industry.

References

Abdalla, P. A., & Varol, A. (2019). Advantages to disadvantages of cloud computing for small-sized businesses. 2019 7th International Symposium on Digital Forensics and Security (ISDFS). doi:10.1109/isdfs.2019.8757549

Dempsey, D., & Kelliher, F. (2017). Cloud computing. Industry Trends in Cloud Computing, 9-28. doi:10.1007/978-3-319-63994-9_2

Gołuchowski, J., & Filipczyk, B. (2020). Knowledge management and big data in business. Leadership in the Era of Big Data, 37-51. doi:10.1201/9781003057291-4

Stark, H., & Hawamdeh, S. (2018). Relating big data and data science to the broader concept of knowledge management. Analytics and Knowledge Management, 141-166. doi:10.1201/9781315209555-5

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