In this week, I performed the data collection and analysis part of the research project. I become familiar with the various methods to collect and analyze of the collected data. The purpose of my study is to reflect the gaps into existing knowledge. Scope of my research project is to determine the time, resources and budget by keeping in mind development of the selected research questions. The data collection and analysis is based on analyzing the problems into backup and disaster recovery plan. This backup and recovery plan is aligned with the loss of data due to technical issues which are recovered with technological development. Those are the processes which help the business organization to protect and recover the infrastructure of Information Technology. When there are problems, there are ways to minimize those problems such as the solutions to fix those problems. The data are also collected for identifying how there is use of cloud technologies for identifying the problems.
Palinkas et al., (2015) stated that data collection is such an approach which is used to measure and gather of information from various sources to get information on the selected research project topic, backup and disaster recovery plan. Thuries and Gillet (2016) argued that it enables a person to provide answers to research questions and evaluate the research outcomes. There are two types of data collection methods: primary and secondary data collection. In this particular research project, primary data collection approach is used using of survey and interview methods. Using this research approach, the researcher collects the data at first hand. Afergan et al., (2015) mentioned that the data are collected for purpose of this study and addressed the existing problems.
In this research study, the data sources are retrieved from the online survey which is done to gather data and take feedback from the professionals into backup and disaster recovery field to identify the problems which they faced. An online questionnaire is done to analyze the use of the plan in the organization. It is a descriptive form of research which helps to obtain primary data throughout direct interaction with the respondents in one form (Soy, 2015). The steps to collect the data are mentioned as follows:
There are two types of data analysis methods which are mainly used in the research project such as: qualitative and quantitative data analysis. In this current study, quantitative data analysis is used which would provide a statistical form to the collected data. This data analysis involves with critical analysis of the study (Taylor, Bogdan & DeVault, 2015). It provides a rationale behind emergence of the findings. At the time of analyzing the survey answers, the researcher collects the raw data into form that is easy to manipulate. The data are put into the spreadsheet form like Microsoft Excel (Silverman, 2016). As the survey is open ended questions, therefore the researcher can fit the answers into various categories of responses.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
Complete |
9 |
10 |
90% |
|
In Progress |
1 |
10 |
10% |
Analysis of data: Based on the above chart, it is analyzed that 90% of the business organization are used of backup and recovery plan in for storing of information and maintenance of those data properly.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
1 year |
7 |
10 |
70% |
|
2 years |
2 |
10 |
20% |
|
Never |
0 |
10 |
0% |
|
No plan |
1 |
10 |
10% |
Analysis of data: From the above chart, it is analyzed that 70% of the respondents review their plan on 1 year of gap. Only 10% have no such backup and recovery plan in their business to restore the data for future purposes. Each of the backup and disaster recovery plan requires update and review to determine if any changes are occurred. Review of the plan saves the money of the organization and improves the organizational performance to analyze the technical issues.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
Yes |
8 |
10 |
80% |
|
In Progress |
1 |
10 |
10% |
|
No |
1 |
10 |
10% |
Analysis of data: From the above chart, it is analyzed that 80% of the business organization are used of back system for record of business information and data. It ensures to store the user data into the system to be saved and the state of the system is in operational condition. It helps to restore the system with selection of backup data.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
Never |
1 |
10 |
10% |
|
Weekly |
7 |
10 |
70% |
|
On regular schedule basis |
2 |
10 |
20% |
Analysis of data: From the above chart, it is analyzed that the 70% of the business organization can restore from the backup. It is used with full backup system, the organization required to recover a single file. The data are restored while there is requirement of additional hardware on which it is performed the restore process.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
Weekly |
3 |
10 |
30% |
|
Daily |
7 |
10 |
70% |
Analysis of data: From the above chart, it is analyzed that 70% of the respondents on daily basis backup of their data and information. By backing up, the users make a copy of their confidential documents that are used to restore them when there is loss of original files. Data loss is caused due to some reasons such as computer viruses, failure of hardware along with file corruption.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
Onsite |
2 |
10 |
20% |
|
Manually distribute of regular backups to offsite location |
2 |
10 |
20% |
|
Have solution that replicates backup to offsite location automatically |
6 |
10 |
60% |
Analysis of data: From the above chart, it is analyzed that 60% of the respondents go for a solution that replicates backup to offsite location automatically. 20% of them manually distribute the regular backup and 20% do it onsite.
|
Options |
No of respondents |
Total respondents |
Percentage of response |
|
Fix the things as it goes wrong |
2 |
10 |
20% |
|
Work with what they are as long as it would work |
2 |
10 |
20% |
|
On regular basis, use of schedule system maintenance checks for the issues |
6 |
10 |
60% |
Analysis of data: From the above chart, it is analyzed that 60% of the respondents go for regular backup of information with use of schedule system maintenance checks for the issues. 20% of them fix the things as they are and 20% of respondents work with what they are.
Comparison of three companies’ backup and disaster recovery plan:
In Apple, the organization is used of fully automated backups system which handles their heavy lifting. The technology is maintaining a fresh backup and monitors the status of their backups to make sure that there is no long time between the backups.
In Amazon, the business is used of AMS cloud which enables faster disaster recovery of their IT system without incurring infrastructure expense of their physical site. ASW cloud is supporting disaster recovery which is suitable for the workload data center failures.
In BestBuy, they added of store visits to their standard operating procedures for the disaster recovery plan. The organization has evacuation plan to set their store’s disaster, floods, fires and others in each one of the stores.
There are two types of methods which are used to create backup set and data recovery based on inclusion and exclusion. Into the inclusion method, the user should pick up the files which are required to backup by identification of the file type (Elo et al., 2014). There is backup of certain file types which the user identifies as business critical and there is only need to backup the file types. Into the exclusion method, the user should include everything into the backup set by default, as well as there is exclude of those file types which are not required. It allows the user to capture everything into the user’s profile, except the files which are not recreated and considered as non-critical.
In the previous submitted papers, there are improvements into the Research Methodology part where improvements are made in data collection method and data analysis method. Research limitations are added to the research project. In the literature review part, improvements are made in the content of literature and provide supportive statement of research topic.
References
Afergan, M. M., Leighton, F. T., Johnson, T. P., Mancuso, B. J., & Iwamoto, K. G. (2015). U.S. Patent No. 8,972,530. Washington, DC: U.S. Patent and Trademark Office.
Cyr, J. (2016). The pitfalls and promise of focus groups as a data collection method. Sociological methods & research, 45(2), 231-259.
Elo, S., Kääriäinen, M., Kanste, O., Pölkki, T., Utriainen, K., & Kyngäs, H. (2014). Qualitative content analysis: A focus on trustworthiness. Sage Open, 4(1), 2158244014522633.
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533-544.
Silverman, D. (Ed.). (2016). Qualitative research. Sage.
Soy, S. (2015). The case study as a research method.
Taylor, S. J., Bogdan, R., & DeVault, M. (2015). Introduction to qualitative research methods: A guidebook and resource. John Wiley & Sons.
Thuries, S., & Gillet, A. (2016). U.S. Patent No. 9,400,906. Washington, DC: U.S. Patent and Trademark Office.
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