Essay on Software as a Service

Published: 2021/12/28
Number of words: 1047

The characteristics and goals of systems are crucial in supporting companies in making better and more informed decisions. Plans entail not only the use of computers, but also the integration of data, people, and technology. As a result, data, people, hardware, software, and telecommunications are all characteristics of systems. First and foremost, data must be entered into information systems in order to be regulated and processed (Deelman, 2009). After data is processed, it becomes information, which is then output to the system’s final user. Information is generated from a variety of internal and external sources. If the data entered is incorrect, the outcome will be misleading to the end user. Second, the system should include people because data collection and processing require the use of people, especially when the data is useful to the organization for specialized services. To get the most out of its data system, staff training and skills in conjunction with systems are required.

Thirdly, hardware should be included in every system. Hardware refers to the physical components that make a computer system work. It consists of a central processing unit, power supply, ventilation fans, motherboard, cameras, and graphic card that work within a laptop or computer. The hardware that the information technology structure utilizes must be able to handle the software that the organization requires as well as execute a large amount of data and information processing (Oinas-Kukkonen, 2009). In addition, the hardware should be up to date to allow for proper data storage, collection, and utilization.

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Fourth, an organization must assimilate software in order for a system to perform well. Organizational and employee software must have features and roles that allow them to produce and consume data generated by the organization. As a result, the software should include components that allow employees to do their jobs more efficiently, such as processing data, creating reports, and evaluating data. Finally, data generated by various departments in the organization must be transmitted around the company because it will be used for varied purposes. As a result, telecommunication in any business must be productive in order for the data transmitted to arrive at the correct destination after processing.

A system serves a variety of functions, including storage, feedback, and processing. First and foremost, information should be stored in a meticulous manner. To avoid the loss of any critical data due to human error, frequent backups and multiple summaries should be performed. Furthermore, these backups should be spread out geographically to avoid major disasters like as flooding or fire (Kukkonen, 2002). Second, processing is the foundation for converting information into data. Summing up the quantity of things sold by the company by a variable, such as warehousing sites or items, as well as time and date, is a simple process. Calculations and assumptions about missing data would be part of a complicated procedure to derive information from the existing data.

Finally, the feedback loop, also known as the control loop, is another function of a system that is often the output of processed data. When a system continuously repeats the same processes, the output of the last loop might have an impact on the input of subsequent information into the loop. For example, suppose a corporation wants to buy stock from a supplier when it reaches 100. In a loop, the system will check the stock level every hour. When the stock level is above 100, the circle continues indefinitely until the stock level falls below 100, at which point the instruction is executed and fresh stores are ordered.

The system as a service is gaining popularity, and it is having a beneficial impact on the organization due to its information security and commercial performance. When selecting SaaS solutions, the organization should look for a system that prioritizes security, has solid security features, and can integrate apps. As a result, additional features and services from other SaaS solutions are listed below.

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To begin, accounting software refers to application software that documents and processes actions inside functional modules such as accounts receivable, journals, accounts payable, and payroll (Pop, 2016). FreshBooks, Xero, and Stripe are the three main options available. FreshBooks is a well-known invoicing and cash flow management service. They are mostly used by small firms to swiftly balance their books. They also provide expenditure auditing, professional invoicing, time tracking, and payment reports. As a result, Xero is another accounting software product. It aids in the maintenance of accurate and up-to-date accounts. Small businesses use Xero, which, like FreshBooks, allows users to connect their bank accounts and import bank statements. It also allows for the creation of reports and payments ahead of time. Finally, there’s Stripe, which is an online payment system for online retail. They offer lower processing fees for credit cards.

customer success, which is deeply established in SaaS enterprises, is now recognized by every organization. The KPIs listed below, on the other hand, can help non-SaaS businesses achieve client success. To begin, customer service metrics and how a customer is treated are critical in the customer journey. It is vital to have a system for addressing issues and tracking trends. As a result, it will provide insight into the customer experience, allowing for the prevention of problems and the focus on critical tasks such as backlog volume, customer satisfaction, and resolution time. Finally, the amount of time CSMs spend with each customer is critical. How long does it take for them to respond to customers? These types of queries will aid the organization in identifying flaws and correcting them by updating the procedure. As a result, client success will be achieved since the customer service representatives will work tirelessly.


Deelman, E., Gannon, D., Shields, M., & Taylor, I. (2009). Workflows and e-Science: An overview of workflow system features and capabilities. Future generation computer systems25(5), 528-540.

Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems24(1), 28.

Kukkonen, J. P., Holmqvist, T., Ammoun, S., & Åkerman, K. E. (2002). Functions of the orexinergic/hypocretinergic system. American Journal of Physiology-Cell Physiology283(6), C1567-C1591.

Pop, D. (2016). Machine learning and cloud computing: Survey of distributed and saas solutions. arXiv preprint arXiv:1603.08767.

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