The decision matrix can be used alone or in conjunction with other decision-making approaches and tools. A decision matrix, for example, might be beneficial for a corporate strategy or picking between possibilities for a long-term career goal (Peek, 2021). Decision Matrix Analysis is a helpful tool in deciding between numerous possibilities when many distinct elements must be considered.
Before beginning the decision-making process, it gives a clear concept of the criteria that must be considered in the final choice as well as the weight of each option. Furthermore, it removes cognitive biases. Rather than picking based on personal preferences, specific agreed-upon criteria are utilized only to make decisions. Also, it shortens the time it takes to make a decision by weighing several options at once. The decision-making process is also sped up by the rating system.
To ease the managing of the brick-and-mortar business, intelligent systems and cloud computing are suggested. Using intelligent systems and cloud computing in businesses has become a new trend to manage resources and different procedures. Intelligent systems are considered methodological techniques for solving critical and somewhat complicated issues and obtaining consistent and reliable solutions across time. Cloud computing has become an innovative approach used in businesses because of the fast advancements in processing and storage technology and the development of the Internet. Organizations are acquiring greater familiarity with cloud platforms and are beginning to migrate more essential business processes to them. As a result, it has become obvious that cloud adoption is a lot more complicated than it had been thought to be, especially in terms of data management, system integration, and managing various cloud providers.
After analyzing the business solution with in relation of business technology requirements, it fully meet the needed requirements as mobile commerce and social computing increase client retention by being more acceptable. Moreover, a wider range of products and services are available and customers will be able to compare pricing, read reviews, and make purchases without having to use a desktop computer. It also automates a company’s customer interaction and sales points.
With mobile commerce possible sales will be improved by engaging with users online via mobile devices, which has become increasingly massive and influential. Moreover, mobile commerce may collect consumer data, and improved insights into the client journey can be gained. Customers visit a store, make a purchase, and depart with brick-and-mortar retail. Few details, such as why they buy, are recorded and retained for statistics and analysis. Businesses may communicate with their customers from the minute they walk into their stores, assess the items, and make a purchase via mobile commerce. For example, a mobile application provides a direct link to end users, providing an excellent marketing channel via which you may offer things to consumers directly through their mobile device. There are a variety of tailor-made marketing capabilities available on mobile commerce platforms that allow a business owner to better target clients, from push alerts with the newest bargains to generating a newsfeed with information about the latest items and pricing.
Meanwhile, once the mechanics for supporting social computing are in place, the material created through user interaction is processed the same way as other content in the organization. It is impossible to compel people to use social computing; instead, it must be made more accessible. It must be indexed and searchable, making it simple for users to find and interact with content. Content and style policies that are reasonable and at arm’s length will also allow the voice of the people to be heard.
Using cloud computing reduces entry barriers for smaller enterprises who want to employ compute-intensive business analytics that were previously only available to larger companies These computational tasks frequently need a large amount of processing power for a short period of time, and cloud computing makes this possible. For any business, the security of its data is essential. Therefore cloud computing g is the most relevant solution. Any essential data may be stored in the cloud, allowing for connectivity and usefulness. On the other hand, the data is accessible from any device and from anywhere on the planet, making it ideal for remote workers and organizations. Furthermore, the cloud has a built-in data backup and restoration mechanism, ensuring that the company’s data is completely secure. The data and any kind of information are protected from cyber-attacks, natural disasters, and even blatant unwanted access. Enterprise applications are now so important that they must be dependable and accessible 24 hours a day, seven days a week, to support operations. Contingency plans must take effect seamlessly in the case of failure or outages, and recovery preparations for catastrophic or devastating failures must commence with minimal disturbance. The economic advantage of pooling resources to level out peaks, paying only for what is needed, and reducing upfront capital expenditure in adopting IT systems is logical. In both the short and long term, it will be necessary to carefully weigh the costs and advantages connected with cloud computing. Support, disaster recovery, program customization, and data loss insurance are all examples of hidden expenses.
References
Peek, S. (2021). What Is a Decision Matrix? Definition and Examples. Business News Daily.