Data Security and Ethical Implications in Business Analytics

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Added on  2023/06/09

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This presentation provides an overview of data security and ethical considerations in the field of business analytics. It highlights the benefits of data for customers, emphasizing the importance of personalized notifications and transparency. The presentation also discusses ethical data sourcing, focusing on transparency, ownership, privacy, and intention. Furthermore, it addresses the crucial aspect of protecting customer data from cyber-attacks by collecting vital data, limiting access, and using strong password management. The presentation concludes by exploring ways to use analytical findings ethically, including considerations for intellectual property. The overall aim is to underscore the importance of security and authenticity in data handling within organizations, particularly in light of the increasing prevalence of cybercrime. This resource is available for students on Desklib, a platform offering a wealth of study tools, including past papers and solved assignments.
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Introduction to
Business Analytics
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Table of Content
Introduction
benefits of data to the customers
data can be sourced securely and ethically
customer from the cyber-attack
ways to use analytical findings
Conclusion
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INTRODUCTION
Data plays the vital role in today’s changing world as the
day to day transactions that are being entered by the
company are huge and therefore its security is needed
from time to time.
Various organisations use different sources for their
protection so that it can be secured from the outside.
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Benefits of data to the customers
Consumers expects that they receive notification of only
those personalised company which they are intended to
shop for, but it is also to a limit but nowadays most of the
data is extracted from various sites which is available in
the market.
The information provided increase the sense of trust and
transparency between the brand and the customers which
helps the management in optimizing the marketing
campaign. The data is collected to know the various
products and services offered by the company.
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Sourced securely and ethically
Data ethics is combined of various moral obligations such as
protecting, personally identifiable information and gathering
information. For example, Company can collect data from
various journey and from sites of the company.
Following are the data ethics which can be followed by the
business professionals:
Transparency: The available data is to be shared as it is no
alternation needs to be done by the users of data. It will
reduce the quality and accuracy of the data.
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Continue…
Ownership: There are some common ways which can be used to
determine the ownership, agreements and their privacy policies.
Privacy: The data is shared to a particular does not mean that the
data is to be used by the public or the data is public for the use of
other companies. To ensure privacy data need to be carefully filed
at the time of entering into the records of other.
Intention: Ethics also considers the intention of collecting and
using the information. It also includes the purpose of collecting
the information.
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Customer from the cyber-attack
Protecting data is one of the most important concern for
the collectors of data as it can be leaked at any point of
time which needs to kept protected as it does not harm the
individuals whom data is collected. There are specific
laws which will be govern the general data available to the
agencies.
Collect Vital data: It mainly focuses on the collecting of
actual data from various sources. External factors need to
be considered for the collection of the data.
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Continue…
Limited access: Every employee does not have the access
to the data available to the management. Access to fewer
employee will reduce the risk associated with the data.
Use of Password: Password is used to access the data to
reduce the leak of information. Password management is
used to encrypt the password to reduce the risk of using
the data by someone else whom do not have the authority
to access to the information.
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Ways to use analytical
findings
Research is used by the academics to know the ethical
dilemmas faced by the researcher because of the changing
environment of the industry. There are few recommendations
for researchers:
Intellectual property: There is always a debate for the
authorship as there are various authors which needs
approval for the authorship as there are many who have
written.
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Conclusion
In the above PPT, it states about the cybercrime that has
been taken place in a rapid pace and due to which it is
important for an organisation to focus more on security
and authenticity of data. This report mainly focusses on
the security and privacy of data so that its authenticity
could be easily maintained.
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Reference
Gorman, C., 2022. The role of data analytics in business
development in low-income markets.
Belov, S., Spohrer, J. and Palo, M., 2020. Introduction to
the Minitrack on Business Intelligence, Analytics and
Cognitive Technologies for Industry-Specific Applications.
Balakumar, J. and Mohan, V., 2019. Big Data Analytics in
Social Media: An Overview. Machine Learning
Techniques for Improved Business Analytics, pp.107-124.
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