Data Collection & Analysis: Backup and Disaster Recovery Plan Report

This report focuses on data collection and analysis for creating an effective backup and disaster recovery plan. It employs secondary data collection methods, gathering information from published newspapers, journals, and online portals. Qualitative data analysis is used to understand challenges in IT organizations, such as developing cloud strategies and modernizing legacy applications. The report emphasizes the importance of risk assessment, documenting the disaster recovery plan, and regularly auditing it. It outlines key steps in creating a disaster recovery plan, including defining software and data, evaluating recovery time, setting a budget, and determining upstream data accountability. The plan aims to reduce the impact of disasters, prevent loss of confidence, and ensure business continuity through technology recovery methods for applications, hardware, and data. The document also addresses including and excluding data based on research questions and improving clarity in literature review and methodology sections. Desklib provides access to this and other solved assignments.

Running head: BACKUP AND DISASTER RECOVERY PLAN
Data Collection and Analysis: Backup and Disaster Recovery Plan
Name of the Student:
Name of the University:

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BACKUP AND DISASTER RECOVERY PLAN
Table of Contents
1. Tasks to be performed this week related to advance in research project.....................................2
2. Collection of data.........................................................................................................................2
3. Analyze the data..........................................................................................................................3
4. Include and exclude of data from the research............................................................................5
5. Emerge of patterns.......................................................................................................................5
6. Improvements made to previously submitted papers..................................................................6
References........................................................................................................................................7

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1. Tasks to be performed this week related to advance in research project
In this week, data collection and analysis section is conducted to collect information from
various sources in order to find answers to the research issues and then evaluate the research
outcomes. Businesses are used of IT to effectively process the information, while due to system
failure; there are possibilities of loss of data. Therefore, most of the organization should adopt of
backup and disaster recovery plan to prevent the data from being lost and store it into the
database system of organization. This week, there is selection of best data collection and analysis
methods which would best suit with the research topic.
2. Collection of data
In this research project, there is used of secondary data collection method approach. The
data are collected from the published newspaper, journals as well as online portals. The
application of proper set of factors to select this data is used to increase levels of research
validity along with reliability. Wallace and Webber (2017) stated that secondary data are
collected from other sources and those are reliable. Those data are expensive and those are
attainable from different types of published sources. The data are collected from the journal
articles which summarizes the selected research questions. The data are collected regarding
challenges which are raised into the plan (Alhazmi, 2015). Protection of critical data of the
company is not required to continue into daily operations. Development of data backup as well
as recovery system is required to successfully store the business information for future reference.
The secondary data are available from the sources which are no specific to the collection of
methods (Chang, 2015). The advantage of secondary data is that it is easier to available and

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therefore there are requirement of less time. Authenticity of the secondary data is at highest
priority.
3. Analyze the data
Secondary data are of two types such as qualitative as well as quantitative data analysis.
The qualitative data are obtained from the newspaper, interview and others. The quantitative data
are to be obtained from the survey and statistics. In this research project, qualitative data analysis
is used to associate the collected data into words, analyze it critically those are quantifiable
(Poulson et al., 2017). This data analysis method ensures to provide greater level of in-depth
understanding of the selected research topic. There is development of IT disaster recovery plan
into the organization to analyze the challenges faced into the IT organizations. Ghannam (2017)
stated that there are challenges regarding development of cloud strategy. There are also issues
regarding modernization of legacy applications. Implementation of data backup as well as
recovery system makes sure about data protection. The companies prepare for worst by
development of disaster recovery plan. Khoshkholghi et al., (2014) discussed that risk
assessment is conducted to determine how much of data are acceptable. If it is not a disaster for a
company, then it is not required to backup offsite. When the daily data are critical, then plans are
made to get data offsite on regular basis. Documentation of the disaster recovery plan is created.
Location of data backups is identified (Valiyaparambil et al., 2015). The step to create disaster
recovery plan is to test the plan. After the plan is prepared, regular audits are conducted to test
the disaster recovery plan.
Sahebjamnia, Torabi and Mansouri (2015) mentioned that there are analyzing of
simulation of the disaster. Disaster recovery plan is created with the business continuity

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planning. Technology recovery methods are created to restore applications, hardware as well as
data to meet with the requirements of the business recovery. The IT recovery strategies are
developed for information technology system, applications as well as data (Wallace, M., &
Webber, 2017). Recovery strategies are developed for anticipation of loss of some system
components such as: computer room, hardware, connectivity to the service provider, software
applications as well as data restoration. The IT recovery methods are created to restore
applications, hardware as well as data to meet with the business recovery (Khoshkholghi et al.,
2014). Creation of It recovery plan ensures for survival of the business by reduction of impact of
the disaster and failures. Risk analysis enables to reduce the risk, prevent the loss of confidence
by both users as well as customers. Into the process to create a plan, there are six steps that are
followed to create a disaster recovery plan such as:
I. Defining software as well as data of the organization.
II. Evaluations of how much time are needed to recover from the disaster.
III. Setting of the budget for the disaster recovery (Valiyaparambil et al., 2015).
IV. Defining acceptance levels and linking productivity to implement the strategies
of backup.
V. Determining of upstream data which are accounted for failure.
Sahebjamnia, Torabi and Mansouri (2015) concluded that the businesses are generated of
larger amounts of data along with data files to change the success criteria of the business
organization. The data are lost, compromised as well as stolen throughout the failure of
hardware, error from the human side along with hacking in addition to malware. Loss and
corruption of the data are resulted into key significant disruption of business. Wallace and
Webber (2017) discussed that data backup as well as recovery are considered an integral part of

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business continuity plan. It is taken also defined as information technology disaster recovery
plan. It develops data backup strategies which identify what data are required to backup, select
and implement hardware along with software backup processes.
Backup recovery plan is required to identify the data on the network servers, laptop
computer in addition to wireless devices which are required to back up with the records of hard
copy. This plan required to schedule the backup from the wireless devices to the network server
(Sahebjamnia, Torabi & Mansouri, 2015). The data which are on server are required to backup.
Back up of the hard copies into digital forms allow keeping the data safe for future.
4. Include and exclude of data from the research
In the research project, include and exclude are based on research questions. When there
is specific research questions for some particular population, then include criteria requires being
more specific. Include criteria is used to set predefined characteristics which are used for
identification of the subjects those are included into the study (Ghannam, 2017). Include in
addition to exclude makes selection used to rule out the target population of the research study.
Include consists of specific objective of this study. Proper selection of include of data optimizes
both external as well as internal validity of this study along with improvement of feasibility and
minimization of ethical concerns.
5. Emerge of patterns
This research project provides a qualitative analysis of the peer review as emerging
research by means of revealing patterns between the authors in addition to fields. Before start to
work on the research project, the researcher attends classes, experiences training, reads the

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textbooks and solves of research set in the research areas. Valiyaparambil et al., (2015) found
that applying of formulaic approaches tend to work well in the study for identifying the
problems. Design pattern is a solution for the problems.
6. Improvements made to previously submitted papers
In the literature review part, there are improvements into the sentences which are lack of
clarity. The articles are taken from the Wilmington University Library. The literature review is
required to support the research questions. Various articles are reviewed and an outline is made.
The part does not include of any tables and figures to locate the article which shows process of
recovery plan.
In the methodology paper, the methodology section is improved by using a specific
methodology to the research project either quantitative or qualitative. Data collection method is
improved to collect data to provide answers to research questions by use of either primary and
secondary data. The data are then analyzed by use of particular data analysis methods. Research
limitations are missing in the paper, therefore it is added. Some of the parts are provided with in-
depth details as well as logical details on the research topic.

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References
Alhazmi, O. H. (2015). Computer-aided disaster recovery planning tools
(CADRP). International Journal of Computer Science & Security (IJCSS), 9(3), 132-139.
Chang, V. (2015). Towards a Big Data system disaster recovery in a Private Cloud. Ad Hoc
Networks, 35, 65-82.
Ghannam, M. Z. (2017). Challenges and Opportunities of Having an IT Disaster Recovery Plan.
Khoshkholghi, M. A., Abdullah, A., Latip, R., Subramaniam, S., & Othman, M. (2014). Disaster
recovery in cloud computing: A survey. Computer and Information Science, 7(4), 39.
Poulson, C. S., Gledhill, J. R., & Ruff, T. A. (2017). U.S. Patent No. 9,787,530. Washington,
DC: U.S. Patent and Trademark Office.
Sahebjamnia, N., Torabi, S. A., & Mansouri, S. A. (2015). Integrated business continuity and
disaster recovery planning: Towards organizational resilience. European Journal of
Operational Research, 242(1), 261-273.
Valiyaparambil, M. K., Singla, A., Sen, V., & Ali, A. (2015). U.S. Patent No. 9,063,822.
Washington, DC: U.S. Patent and Trademark Office.
Wallace, M., & Webber, L. (2017). The disaster recovery handbook: A step-by-step plan to
ensure business continuity and protect vital operations, facilities, and assets. AMACOM
Div American Mgmt Assn.