Activity 2_ Ethical and regulatory aspects related to Business Intelligence
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Business Information System (MBA650)
Activity 2: Ethical and regulatory aspects related to Business Intelligence
Gardiki Thomai
December 3rd, 2023
Introduction
In two-sided platforms, trust is essential. The establishment and maintenance of trust
become even more crucial as these platforms get bigger. Robust rating and review systems were
established by platforms such as Airbnb, Etsy, and Uber.
To reach a wider audience, several
platforms extended the reach of their services to additional cities and areas. Their effort to fully
understand people’s needs, led them to start using personal data softwares. That, of course,
gave them the possibility to reach out to more costumers, enhance their content and gain a
competitive advantage. There are, though, a few basic rules and principles they should have
complied with in order to successfully use personal data without interfering in any risks
associated with misuse.
Principles when processing personal data
In a time when people may easily connect with each other for services through digital
platforms, protecting personal information has become crucial. Well-known companies in the
online marketplace space, like Etsy, Uber, and Airbnb, follow basic guidelines to protect
customer privacy and security. Six fundamental ideas that guide these platforms' handling of
personal data are revealed by looking closely at their operations.
Prioritizing user consent acquisition over the collection and processing of personal data is
shared by Airbnb, Etsy and Uber. One of the main principles is transparency, which is
demonstrated by the fact that consumers are given clear and understandable privacy
regulations outlining the kinds of data that are gathered, how they are used, and who else they
might share it with(
Oskam, J.
and
Boswijk, A.
(2016)
. Uber, Airbnb, and Etsy all understand how
important it is to inform people so they can make an informed decision about revealing their
personal information.
According to the principle of purpose limitation, personal information should only be
gathered for clear and defined objectives and never be put to use for activities that are
incompatible with it. Furthermore, data reduction is utilized to guarantee that only the
information needed for the specified tasks is gathered. Uber, for example, demonstrates a
commitment to restricting the use of personal data to its fundamental activities by collecting
location data only for the purpose of delivering transportation services.
A fundamental tenet of Uber, Airbnb, and Etsy is guaranteeing the security and integrity of
customer data. Strong security measures are put in place to protect personal data from
unauthorized access, disclosure, change, and destruction(
Tieke He, Shenghao Chen, Lian Hao,
Jia Liu,2019)
. Encryption algorithms, authentication methods, and routine audits all help to
create a safe environment and give users confidence that their data is being treated with the
highest care.
These platforms all share the goal of giving users control over their personal information.
Users of Uber, Airbnb, and Etsy may usually check, modify, and remove their information. They
also give users the ability to change privacy settings, which gives them the ability to decide
whether details on their accounts are visible or hidden. In the digital sphere, the emphasis on
user control is consistent with the concepts of user autonomy and agency.
Each of the three platforms understands how critical it is to take responsibility for their data
policies. They pledge to abide by all applicable data protection laws and guidelines, frequently
designating Data Protection Officers to manage privacy-related issues. As evidence of their
dedication to moral data stewardship, Airbnb, Etsy, and Uber take precautions to guarantee that
both their internal operations and external partnerships abide by accepted privacy standards.
The idea of constant development is essential in the ever-changing world of digital
platforms. In response to changing regulatory constraints, technology improvements, and user
expectations, Airbnb, Etsy, and Uber periodically evaluate and change their privacy policies and
practices(
Saumya Chaturvedi, Vimal Mishra, Nitin Mishra,2017)
. This flexibility demonstrates a
commitment to maintaining the highest privacy standards and keeping up with the evolving
field of personal data protection.
In conclusion, fundamental values that emphasize user privacy and data protection are
shared by Uber, Airbnb, and Etsy. These platforms work to provide a safe and reliable
environment for their users by limiting their purposes, requiring informed consent,
implementing security measures, granting user control, holding users accountable, and
committing to ongoing development.
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Risks associated with misuse of Business Intelligence
For businesses like Airbnb, Etsy, and Uber, business intelligence (BI) has become a vital tool
that facilitates data-driven decision-making and strategic insights. But BI's revolutionary
potential also carries some inherent risk that, if not properly handled, can have unfavorable
effects. In the context of these companies, this essay examines four fundamental categories of
dangers related to the misuse of business intelligence.
The danger of data breaches and privacy violations is one of the main issues with business
intelligence. Large volumes of sensitive user data, including location information, transaction
history, and personal details, are gathered and analyzed by Airbnb, Etsy, and Uber. A major risk
is posed by misuse or unauthorized access to this data, which could result in penalties from the
law, harm to one's reputation, and a decline in customer confidence(
Suraj Juddoo, 2015)
. To
reduce these threats and guarantee the integrity and confidentiality of business intelligence
data, strict procedures for data encryption, access controls, and frequent security audits are
essential.
Biases present in the data that BI systems evaluate can still affect them. BI is used by Uber,
Airbnb, and Etsy to inform choices about pricing policies, service improvements, and user
recommendations. On the other hand, biased data might reinforce and magnify preconceived
notions already in place if it is utilized to train these algorithms. This raises moral questions that
could result in discriminatory actions. To promote justice and openness in the decision-making
process, businesses need to have policies in place to detect and address biases in BI algorithms.
Businesses using BI have a significant problem from the constantly changing landscape of
privacy and data protection laws. Each of the jurisdictions in which Airbnb, Etsy, and Uber
operate has its own set of laws governing the gathering, handling, and archiving of user data.
There may be serious consequences for breaking certain laws, such the CCPA or GDPR. To
minimize the risks of non-compliance, it is necessary to maintain solid systems for data
governance, make proactive adjustments, and continuously audit BI practices to ensure they are
in line with changing legal frameworks.
Business Intelligence (BI) is essential for helping firms make strategic decisions, but relying
too much on data without understanding its limitations can put operations at danger. Uber,
Airbnb, and Etsy need to be aware of the "overfitting" phenomenon, which occurs when BI
models get excessively adapted to past data, making them less flexible for use in novel
situations(
Zaher Ali Al-Sai, Rosni Abdullah, Mohd heikal husin,2019).
In conclusion, while Uber, Airbnb, and Etsy embrace the revolutionary potential of business
intelligence, they also need to manage the risks involved in order to protect consumer trust,
uphold moral principles, and adhere to legal obligations. Comprehensive risk management
strategies must address risks related to data security and privacy, mitigate biases, ensure
regulatory compliance, and keep operational risks in mind.
Conclusion
In conclusion, there are a plethora of potential for data-driven decision-making and strategic
breakthroughs when businesses such as Airbnb, Etsy, and Uber integrate business intelligence
(BI) into their operations. To guarantee its ethical and efficient use, it is necessary to
acknowledge and manage the inherent risks connected to business intelligence. The hazards
that have been identified are many, ranging from worries about data security and privacy to
possible biases in algorithms used for decision-making, difficulties complying with changing
rules, and operational risks related to an excessive dependence on previous data. In order for
these businesses to fully benefit from business intelligence, they must strike a careful balance
between harnessing the potential of data insights and managing the many ethical, legal, and
operational constraints.
References
Oskam, J.
and
Boswijk, A.
(2016), "Airbnb: the future of networked hospitality businesses",
Journal of Tourism Futures
, Vol. 2 No. 1, pp. 22-42.
Tieke He, Shenghao Chen, Lian Hao, Jia Liu, "Quality Driven Judicial Data Governance",
2019
IEEE 19th International Conference on Software Quality, Reliability and Security Companion
(QRS-C)
, pp.66-70, 2019.
Saumya Chaturvedi, Vimal Mishra, Nitin Mishra, "Sentiment analysis using machine learning for
business intelligence",
2017 IEEE International Conference on Power, Control, Signals and
Instrumentation Engineering (ICPCSI)
, pp.2162-2166, 2017.
Suraj Juddoo, "Overview of data quality challenges in the context of Big Data",
2015
International Conference on Computing, Communication and Security (ICCCS)
, pp.1-9, 2015.
Zaher Ali Al-Sai, Rosni Abdullah, Mohd heikal husin, "Big Data Impacts and Challenges: A
Review",
2019 IEEE Jordan International Joint Conference on Electrical Engineering and
Information Technology (JEEIT)
, pp.150-155, 2019.
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