Descriptive Research Study You are not required to collect data from the primary source. Make sure you don’t state in your paper
Descriptive Research Study10.- Instruments – (Worth 6-points)
11.- Research procedures – (Worth 6-points)1
2.- Data Analysis – (Worth 6-points)
NOTE1: You are not required to collect data from the primary source. Make sure you don't state in your paper that you have collected data through interviews. If you mention in you paper that you have or will be collecting data, your group will receive zero (0) for this assignment.NOTE2: You will only work with secondary data from Peer-Reviewed Journals.NOTE3: This is a continuation of your proposed project that you started in week-2 Each group to deliver: Steps and Procedures:
- To complete this assignment, you are required to use “ONLY” Peer-Reviewed Journals. Do not use any other source to support your research. Use only Peer-Reviewed Journals.
- You need to list the reference of the article from The Peer-Reviewed Journal. All references must follow APA style, structure, and formatting.
- Use the basic citation styles mentioned in the APA Manual, Sixth or Seventh Editions, to cite your sources.
- Do not send your work via e-mail. Your document will be ignored. I will not grade your document if you send it via e-mail.
- Make sure you include the selected 10-Articles from Peer-Reviewed Journal as your references and sources (10-Annotated Bibliography).
- "Only" The leader of your team for week four (5) will submit the assignment.
- Please observe the Required Practical Connection Assignment Rubric
Instruments
According to Tiwari & Gangadharan (2021) everything that causes a process to fail is instrumented. Since database calls are typically quick, it's tempting not to instrument them. However, things that should never cause difficulties might serve as indicators of greater problems in the future.
In this research, use the analysis the Review on Challenges in SAAS Model in Cloud Computing of Balne, S. (2019), how customers can get a single copy of an application created specifically for SaaS distribution. Feature and functionality updates are delivered to all clients that use the same application source code. Logging out of a bad service. If you expect a system component to function at a certain level, you should report any instances when it does not operate as expected. Simplification of the system is also crucial to lowering the total cost of ownership. One of the biggest benefits of transitioning to a SaaS delivery model is consolidation of customer hardware and infrastructure. Cloud ecosystems make it easier to collect consumer use data, helping staff better understand client needs and challenges. Clouds computing helps the leaders and employees of an organization to easily access the companies’ information and data. Bello et al. (2021)
Research procedures
Uncovering new client groups.
Due to decreased costs and fewer technological requirements, SaaS allows companies to expand their client base to include previously unprofitable groups, such as small businesses (Ali et al., 2022). A SaaS model that operates on the public cloud removes many of the hurdles to global development when it comes to expanding your business.
Reduce consumer total cost of ownership (TCO) by simplifying the system.
Customer hardware and infrastructure are consolidated for application deployment when moving to a SaaS delivery model, one of the largest advantages. Due to the reduced complexity and expense of the underlying infrastructure, SaaS delivery models can result in considerable savings for your clients. On-premises apps sometimes need a large investment in infrastructure from the client to host the product (Jiang et al., 2022). Depending on the size of the firm and the performance level of the application, these expenditures might quickly escalate into the millions of dollars. It is the responsibility of the client to maintain and support these assets on a regular basis.
New cloud services may be integrated.
Workforces may enhance their service offerings by incorporating value-added cloud services, which save the time and expense of developing capabilities from scratch. Many of these services may be accessed via the cloud platform ecosystem with minimum integration and maintenance costs (Attaran & Woods, 2019). Advanced data analytics, business intelligence, visualization, and collaboration tools have been among the most popular additions to cloud-based software as a result of increasing client demand. First-party services supplied by Microsoft Azure and other cloud providers were used to include these capabilities.
Employ data that has been compiled from several sources
Cloud ecosystems make it simpler to gather consumer use data, giving staff a more in-depth understanding of client wants and problem issues. Data collected via the use of applications may help you target your product development efforts towards the features that matter most to your consumers and provide them to them more quickly (Sohaib et al., 2019).
Data Analysis
The importance and significance of the research is to make sure and feel the experience of Information Technology firms. The practical usage of Cloud computing reduces capital costs for hardware and software in small and middle-sized organizations (Attaran & Woods, 2018). The research is important for Information Technology companies as it showcases their shift towards SaaS products which has helped them gain momentum and be more productive.
When it comes to using cloud-based software, it's a technological marvel in and of itself, but the information has access to that is dependable and readily accessible merits praise. Cloud ecosystems make it simpler to gather consumer use data, giving staff a more in-depth understanding of client wants and problem issues (Ali, 2019). Data collected via the use of applications may help to target your product development efforts towards the features that matter most to your consumers and provide them to them more quickly.
References
Ali, A., Iqbal, M. M., Jamil, H., Akbar, H., Muthanna, A., Ammi, M., & Althobaiti, M. M. (2022). Multilevel Central Trust Management Approach for Task Scheduling on IoT-Based Mobile Cloud Computing. Sensors, 22(1), 108.
Ali, M. B. (2019). Multiple Perspective of Cloud Computing Adoption Determinants in Higher Education a Systematic Review. International Journal of Cloud Applications and Computing (IJCAC), 9(3), 89-109.
Attaran, M., & Woods, J. (2019). Cloud computing technology: improving small business performance using the Internet. Journal of Small Business & Entrepreneurship, 31(6), 495-519.
Jiang, J., Pang, T., Zhang, F., Men, Y., Yadav, H., Zheng, Y., & Wang, P. (2022). Pathway to encapsulate the surface water quality model and its applications as cloud computing services and integration with EDSS for managing urban water environments. Environmental Modelling & Software Journal, 148, 105280.
Bello, S. A., Oyedele, L. O., Akinade, O. O., Bilal, M., Delgado, J. M. D., Akanbi, L. A., … & Owolabi, H. A. (2021). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction, 122, 103441..
Sohaib, O., Naderpour, M., Hussain, W., & Martinez, L. (2019). Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method. Computers & Industrial Engineering, 132, 47-58.
Tiwari, D., & Gangadharan, G. R. (2021). SecAuth-SaaS: a hierarchical certificateless aggregate signature for secure collaborative SaaS authentication in cloud computing. Journal of Ambient Intelligence and Humanized Computing, 1-25.
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