BISM7202 - Business Analytics and Privacy: An In-depth Analysis

This essay investigates the crucial relationship between business analytics and data privacy, exploring how data-driven decision-making impacts organizational practices and customer experiences. The analysis delves into the implications of data privacy issues, including the significance of data breaches and the necessity for robust data security measures. The essay examines the strengths, weaknesses, opportunities, and threats (SWOT) related to data privacy within the context of business analytics. Furthermore, it considers the student's social role as a customer and how data privacy concerns affect their trust and loyalty towards organizations. The conclusion emphasizes the importance of data privacy in building consumer trust and ensuring the responsible use of data in business analytics.

RUNNING HEAD: BUSINESS ANALYTICS AND PRIVACY 0
2020
Business Analytics and Privacy
Student’s Details-

BUSINESS ANALYTICS AND PRIVACY 1
Abstract
Business analytics is important for the contemporary organizations and improves the
overall functioning of the company. The purpose of the essay is to examine the implication of the
data privacy on the organization’s business analytics activities. The research is conducted from
the academic sources which makes the information reliable. The results are helpful in drawing
concerns towards the data privacy and its importance in the business analytics.

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Introduction
Business analytics is regarded as the data driven planning of the business and the
significant ways by which the firms can identify the data through the statistical analysis to make
data-driven decisions (Hofmann & Klinkenberg, 2016). There increasing privacy concerns for
the big data into the business which has led to data privacy threats. Here, the essay will
determine the concept of business analytics and data privacy and the ways both are related. Also,
the implications of the privacy related issues according to SWOT for the organizations and the
implication of data privacy onto my social role as a customer.
Background
Business analytics (BA) is defined as the data-driven tool which can make the
methodology as sound decision making and can majorly impact the functioning of the
organization. This has a wide application and usages which can affect its usage. This has a huge
importance into the business as this data driven approach can lead to the profitability of the
company (Appelbaum, Kogan, Vasarhelyi, & Yan, 2017). This can better facilitate in the gaining
of the understanding of the available primary and secondary data which can be used for the
increase in the operational efficiency. This is also helpful in the competitive advantage of the
companies through the digital flow of information. Also, it enables in combining all types of data
for making improvements into the business decisions as this converts the data into the valuable
formats.
Data privacy is another important term which is used in association with the business
analytics. This refers to that branch of information security which is associated with the proper
handling of the data which can affect the consent, notice and regulatory obligations. This
determines the ways data can be shared and managed with the third party (Jain, Gyanchandani,
& Khare, 2016). This is regarded as the important assets of the company which facilitates the
importance of sharing of data. Also, privacy is treated as an important asset of the company
which aims to make the securing of right of the customer. Moreover, the business accounts for
transparency in which it defines the ways by which the information can be shared and managed
accordingly through following the privacy rights, policies and abiding the management of data

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which helps in building trusts and maintaining accountability with the customers and the
business.
Data Privacy and Business Analytics
There is huge role of data privacy in business analytic activities as this defines the ways
by which the data can be securely handled while doing the business analytics. This is important
as it helps in building trusts and confidence of the customers and also depicts that the proper
transparent policies are used for the higher consumer fairness (Berg, Birkeland, Pappas, &
Jaccheri, 2018). Moreover, data breaches are regarded as the obstacles into the data analytics
which can certainly create the urgency for the data privacy regulations which can affect the
brand. Also, it can be said that both the data privacy and business analytics are mutually
exclusive as this can affect the business decision. The role of data privacy is crucial as this
affects the improvements into the business analytics. This later needs the knowledge about new
tools and equipment for the protection of data and can be successfully advance the data
management practices which facilitates in extending the capabilities in the data analysis. There
are also data privacy regulations and make the stronger data management practices to serve the
customers.
Implications for Organization
Strength: The privacy related implications in the business analytics are very essential as
it helps in outing the strong encryptions practices of the contemporary organizations (Tsai,
Egelman, Cranor, & Acquisti, 2011). Information securities should focus on the privacy related
things which help in keeping the things save and secured so that the company and even the
customers can rely on that data. Privacy related implications also benefits the business analytics
in protecting the unwarranted interferences and protect the company from the arbitrary.
Weakness: While there are many contemporary business organizations which faces
certain issues in the privacy related things such as unauthorized use of the secondary uses so it
becomes the weakness. Another major business in the business analytics is related to the cost of
the software which is very high (Collingwood, 2017). The companies have to even review that
privacy are not hacked as there are the chances. The weakness related to the system errors, false
matches, data misuse, etc. are the major weakness found in the privacy related implications.

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Opportunity: The privacy related implications should be used by the contemporary
organization as it creates the opportunity for them to for data protection and privacy and helps in
building the trust among the customers. The brand directly blows in any business analytics due to
rapidly move into the internet of things. The value of the contemporary business gets enhanced
and it also provides the opportunity for the companies to capture the large number of customers.
Threat: The competition sin the market is increasing related to the privacy software’s so
the threat is that every time the new technology with the emerging software is coming so it
becomes threat for the company to update the software’s every time (Estrada-Jiménez, Parra-
Arnau, Rodríguez-Hoyos, & Forné, 2017). Another major threat which the contemporary
organizations has to face is related to the collection of the data without breaching the sanctions of
the legal and market based becomes quite difficult.
Implications for Career
My social role is like a customer’s so data privacy issues are the major concern for me. I
have certain data which are confidential and if I let know that data to the company then I expect
that the company should not reveal that data to some other person. I only develop my trust to
those organizations only which have the strong security of the data as I don’t like my personal
stuffs to be revealed with any other person (Maras, 2015). Being the customers, my only
preferences is that my data should not be manipulated and should not use for any other wrong
person. I believe that personal autonomy is essential in for me so I want the privacy so that my
individuality can be maintain. My culture and norms are different so with the privacy data my
personal information also moves to the society and economy.
Being the customers, I prefer privacy and security so that my data should not be shared
publicly as there are some thoughts and feelings of mine with that data which also get disrupted
if it is misused (Davies, et al., 2015). If my privacy implications are broken the being the
customers, I lose my loyalty and trust towards the company and will not take the services further
from that company. Another implication of the privacy concern is related to the services also
which has the potential impact. The actions taken by me as the customers is that I will
communicate with the other customers that the company is reliable in term of trust and privacy
or not and if it is not then privacy audit of that company will be conducted by me to know the

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true results. I will also forum the compliant if I found issues related to my privacy concern so
that companies don’t use the customers data for the granted (Tsai, Egelman, Cranor, & Acquisti,
2011).
Conclusion
Conclusively, it can be said that business analytics is a crucial technique used by the
contemporary organizations. Data privacy is closely linked with data privacy in which it defines
the ways by which data is securely being stored and managed. Here, the essay has identified the
concepts of data privacy and business analytics along with their mutual relationships. This has
also determined the implications of the data breaches using the SWOT technique for the
contemporary organizations. Also, determining the social role of me as a customer in a way I can
get affected by the data breaches and privacy concerns.

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References
Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and
enterprise systems on managerial accounting. International Journal of Accounting
Information Systems, 25, 29-44.
Berg, V., Birkeland, J., Pappas, I., & Jaccheri, L. (2018). The Role of Data Analytics in Startup
Companies: Exploring Challenges and Barriers. In Conference on e-Business, e-Services
and e-Society (pp. 205-216). Springer.
Collingwood, L. (2017). Privacy implications and liability issues of autonomous vehicles.
Information & Communications Technology Law, 26(1), 32-45.
Davies, N., Friday, A., Clinch, S., Sas, C., Langheinrich, M., Ward, G., & Schmidt, A. (2015).
Security and privacy implications of pervasive memory augmentation. IEEE Pervasive
Computing, 14(1), 44-53.
Estrada-Jiménez, J., Parra-Arnau, J., Rodríguez-Hoyos, A., & Forné, J. (2017). Online
advertising: Analysis of privacy threats and protection approaches. Computer
Communications, 100, 32-51.
Hofmann, M., & Klinkenberg, R. (2016). RapidMiner: Data mining use cases and business
analytics applications. CRC Press.
Jain, P., Gyanchandani, M., & Khare, N. (2016). Big data privacy: a technological perspective
and review. Journal of Big Data, 3(1), 25.
Maras, M. (2015). Internet of Things: security and privacy implications. International Data
Privacy Law, 5(2), 99.
Tsai, J., Egelman, S., Cranor, L., & Acquisti, A. (2011). The effect of online privacy information
on purchasing behavior: An experimental study. Information systems research, 22(2),
254-268.

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