Data Governance and Data Management Report - University

This report addresses key aspects of data governance and data management. It begins by defining essential terminologies like competitive advantage, data discovery, data marts, text analytics, business continuity, and electronic records management. The report then delves into current sustainability i...Read More

Running head: DATA GOVERNANCE AND DATA MANAGEMENT
Data Governance and Data Management
Name of Student
Name of University
Author’s Note

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Question 1. Define and explain the concept of the following terminologies:
The Power of Competitive Advantage
Having a competitive advantage over the similar commercial establishments is very
much beneficial to improve the net profitability of the business (Noe et al., 2017). Range of
products and services can be adjusted after getting the understanding the power of
competitive advantage.
Data Discovery
There are diverse categories of data discovery techniques and procedures which are
used in the data recovery process. Data recovery process can be very much significant to
categorise both the unstructured and structured data. Diverse categories of patterns of the data
can be examined and reviewed using the data discovery procedure (Fernandez et al., 2018).
Data analytics and orientation of data are the two prime aspects of data discovery.
Data Marts
Being one of the most significant subset of data warehouse, data marts are very much
useful to manage different departments of a business like sales, marketing, HR and finance.
Dependencies of the data can be reviewed using the data marts (Roantree, Scriney &
O'Connor, 2017). The source if the data can also be identified in the first place using the data
marts.
Text Analytics & Mining
Statistical machinery is one of the prime advantages associated with text mining, at
the same time it can also be said that labelling and training the data is the other advantage of
text analytics (Berezina et al., 2016). Flexibility offered by text analytics can be one of the
prime advantages of text analytics and mining.

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There are other are diverse categories of advantages associated with the deployment
of text analytics as it helps in minimising the text analytics. Understanding the complicated
data is the other advantages offered by the text mining.
Business Continuity
Managing the essential business functions is one of the prime advantages of business
continuity. The diver categories of risks associated with business can be identified in the first
place using the business continuity plans. The risk management process can be evaluated in
the first place using business continuity plan (Tracey et al., 2017). Each of the process of the
business can be identified in the first place using the business continuity plan.
Electronic Records Management
Tracking and storing any set of data sets is possible using the electronic records
management. Creation and maintenance of the records can be done in an organized manner
using ERM. Any sort of schedule which is related with any data sets can be reviewed and
monitored in an organized manner using ERM (Manikas, 2015). The data archive processes
can also be enhanced using ERM.
Question 2: What are the current sustainability issues for the IT Industry? Discuss with
examples.
There are diverse categories of sustainability issues which can have an impact on the
progress of the IT industries such as the followings:
Resource: Identification of the exact resources required for any specific project is one
of the trending sustainability issues faced in most of the global commercial establishments.
Risk: Balancing the risks and rewards in each of the projects is the other sustainability
risk associated with the IT industry (Laudon & Laudon, 2016).

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Cloud network issues: There are diverse categories of cloud network issues in the IT
industry in terms of the security issues, managing the cost of each of the resources which are
about to be used in the IT projects, governance, managing the cloud services and containment
are the prime cloud network issues associated with most of the IT industry.
Public perception and trust: The needs and expectations of the consumers are the
prime sustainability issues which are faced by most of the major IT industries in the recent
times.
Question 3: What are the Main Types of Cyber-Threats?
There are diverse categories of cyber threats which usually have a negative impact on
the contemporary business environment such as the followings:
Phishing emails: Instant spoofing is possible using thus cyber threat. This is one of
the major social engineering techniques which helps the social engineers to get personal data
of the users.
Trojan Horses: This malware is very much significant to gain access to the user
systems. Personal data and business data can be compromised using Trojan horse. Most of
the hacking activities can be done using Trojan horse.
Botnets: Most of the internet connected devices are vulnerable to the botnet attacks as
this allows the attackers to get the access of the confidential data (Butavicius et al., 2016).
Functionality if any system can be easily altered by the social engineers using the botnet
attacks.
Ransomware: The use of this malicious software can be very much useful for the
social engineers to extract huge amount of money in the form of bit coins from the users of
each of the infected devices. Crypto-viral extortion is one of the most significant aspect of

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ransomeware (Kharaz et al., 2016). There are diverse categories of ransomeware attacks
which have a devastating effect on our society like Wanna Cry Ransomeware, Bad rabbit and
Crypto-locker.
DDoS: Data of systems can be compromised in an organized manner using the DDoS
attack. There are diver categories of DDoS attacks also such as the traffic attacks, bandwidth
attacks, and application.
Wiper Attacks: It can be defined as the type of cyber security attack which s
conduced by the social engineers using the malware viruses. Destructive malware are
deployed in most of the wiper attacks.
What are the defence mechanisms to be considered?
There are diverse categories of defence mechanisms which can be deployed to
safeguard the computers and mobile devices from cyber threats like maintaining stronger
passwords, updating the software and version of operating system, regularly managing the
social media settings, and strengthening the home network.
Why APT Threats are particularly difficult to address?
The advance persistent is one of the most advanced criteria of APT threats as these
threats are directly associated with intellectual. Database deletion is one of the most
significant criteria of the APT threats and this is directly associated with each of the data
storing and data retrieving facility which can be one of the prime factors to which these
threats cannot be easily mitigated (Rot & Olszewski, 2017). The total site takeover is the
other characteristic feature of the APT threats which can be the other reason behind for which
APT threats cannot be easily mitigated.

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Explain how Defence-In-Depth Model can help to address the Cyber-Threats?
Valuable data which are compromised during the cyber threats can be very much
beneficial to address the cyber threats. The network security control and the antivirus
software which are compromised in the cyber-attacks can be secured in an organized manner
using the Defence-In-Depth Model (Radhakrishnan et al., 2018). Integrity of the data which
are compromised in the cyber-attacks can also be maintained if this model is deployed.

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References
Berezina, K., Bilgihan, A., Cobanoglu, C., & Okumus, F. (2016). Understanding satisfied and
dissatisfied hotel customers: text mining of online hotel reviews. Journal of
Hospitality Marketing & Management, 25(1), 1-24.
Butavicius, M., Parsons, K., Pattinson, M., & McCormac, A. (2016). Breaching the human
firewall: Social engineering in phishing and spear-phishing emails. arXiv preprint
arXiv:1606.00887.
Fernandez, R. C., Abedjan, Z., Koko, F., Yuan, G., Madden, S., & Stonebraker, M. (2018,
April). Aurum: A data discovery system. In 2018 IEEE 34th International
Conference on Data Engineering (ICDE) (pp. 1001-1012). IEEE.
Kharaz, A., Arshad, S., Mulliner, C., Robertson, W., & Kirda, E. (2016). {UNVEIL}: A
Large-Scale, Automated Approach to Detecting Ransomware. In 25th {USENIX}
Security Symposium ({USENIX} Security 16) (pp. 757-772).
Laudon, K. C., & Laudon, J. P. (2016). Management information system. Pearson Education
India.
Manikas, K. (2015). Records management and electronic records management opportunities
and limitations: a case study in Greek companies.
Noe, R. A., Hollenbeck, J. R., Gerhart, B., & Wright, P. M. (2017). Human resource
management: Gaining a competitive advantage. New York, NY: McGraw-Hill
Education.
Radhakrishnan, M., Narayanasamy, G., Maarop, N., Hassan, N. H., Azmi, N. F. M., Ishak,
R., & Bahari, R. (2018). A Review of Insider Threat Detection Model For
Government Agencies. Open International Journal of Informatics (OIJI), 68-79.

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Roantree, M., Scriney, M., & O'Connor, M. F. (2017). Integrating online data for smart city
data marts.
Rot, A., & Olszewski, B. (2017). Advanced Persistent Threats Attacks in Cyberspace.
Threats, Vulnerabilities, Methods of Protection. In FedCSIS Position Papers (pp. 113-
117).
Tracey, S., O’Sullivan, T. L., Lane, D. E., Guy, E., & Courtemanche, J. (2017). Promoting
resilience using an asset-based approach to business continuity planning. SAGE
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