Introduction to Business Analytics: Data Security and Privacy Analysis

This report delves into the critical aspects of data security, privacy, and ethical considerations within the realm of business analytics. It begins by exploring data usability and the benefits and costs of databases for stakeholders. The report then addresses data security, privacy, and accuracy issues, including potential vulnerabilities such as cyber-attacks and data theft, along with the necessary measures to mitigate these risks. Ethical considerations surrounding customer data, including opt-in and opt-out mechanisms, are thoroughly examined, aligning with regulations like GDPR and CCPA. The report further investigates the intersection of artificial intelligence (AI) with data security, privacy, and ethics, particularly in light of proposed analytics projects, with examples from Google's data usage. The discussion covers the implications of AI advancements and their impact on data governance. Finally, the report concludes by emphasizing the importance of robust data security and ethical practices for the success of organizations and provides recommendations for securing data against external threats.

INTRODUCTION
TO
BUSINESS
ANALYTICS

Contents
INTRODUCTION...........................................................................................................................3
PART A...........................................................................................................................................3
Data Usability:.................................................................................................................................3
Benefits and costs of the database to its stakeholders:...........................................................3
Data Security and Privacy:...............................................................................................................3
Data security, privacy and accuracy issues associated with the use of the database:............3
Ethical Considerations:....................................................................................................................4
The ethical considerations behind whether the customer has the option to opt in or opt out of
having their data used and stored in the way proposed:.........................................................4
Other ethical issues of gathering, maintaining and using the data in the way proposed:.......5
Artificial Intelligence:......................................................................................................................7
How developments in AI intersects with data security, privacy and ethics, especially in light
of your proposed analytics project:........................................................................................7
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Data privacy plays the vital role in an organisation as in today’s world of the information
with respect to the company are stored in electronic form. Therefore, it is necessary for the
organisation to input data security measures on their data. This report address about data breach
that has been taken place at National Australian Bank regarding the compromise that has been
taken place when the customer uploads the details in two different websites with the bank
informing customers on the following night (Yalcin, Kilic, and Delen, 2022).
PART A
Data Usability:
Benefits and costs of the database to its stakeholders:
The database technology helps the business to gather the data along with its processing and
storage for the information relating to the customer. The benefits of the database are such that all
the information could be easily accessible to the business as and when needed to them. It plays a
very significant role in the functioning of the National Australian Bank.
Data Security and Privacy:
Data security, privacy and accuracy issues associated with the use of the database:
Data security- When any company using the data of costumer for improving their sales or
growth then companies must have to consider the security of data, Companies have to be sure
that the data cannot be leaked or theft under the company’s supervision. Companies also have to
make some arrangements so that the data cannot be captured or gathered by any inappropriate
person. Data security can have affected by following reasons-
 Cyber-attack.
 Physical theft of data by any person who is engaged in companies inside activities, such
as employee, peon, etc.
 Due to any physical or online transfer.
Companies also take some measures so that these kinds of events cannot be done in their
operations. Such measures are as follows-
 Change the all database into coding language so that the companies can secure the data
from the hackers (Sachin Kumar, Dube, and Aithal, 2020).

 Checking or analysing the data time to time and also have to update the systems
regularly.
There are some principles of Data security-
1. Companies have to ensure that all data which they collected must be used adequately and
according to the rules and regulation of the government.
2. Companies have to use the information for only authorised purpose.
3. The data which companies collected must be correct and trustworthy.
4. The Companies have to contain the data for a particular time period which are mentioned
in the rules and regulation of government.
5. The data which is collected by the companies cannot be transferred outside the country.
Accurate data is very important for very organisation by the help of accurate data, companies can
make their decisions easily such as Addition of a new branch, how to tackle the competitors, and
improving the sales services etc. Companies find very difficult to maintain the accurate data
because the companies mostly focus on collection of more and more data and forget to collect
useful and meaningful data (Griva, 2019).
Companies can improve their methods of collecting the data by following ways-
 By implementing auditing system.
 Companies have to hire the professionals.
 Always collect the data from trustworthy forces.
 Companies have use the new matching technology while checking or verifying the data
or information system.
Ethical Considerations:
The ethical considerations behind whether the customer has the option to opt in or opt out of
having their data used and stored in the way proposed:
Privacy legal guidelines just like the General Data Protection Regulation (GDPR) and the
California Consumer Privacy Act (CCPA) revolve round necessities mandating that corporations
get customers to choose in or choose out of sure facts series and processing activities. In this
report, the entity can locate an easy-to-apprehend choose in and choose out which means, in
addition to the whole lot the entity wants to realize approximately the way to enforce every
technique to preserve their enterprise at the proper aspect of the law in order to apprehend while

to put in choose-in measures and while to put in choose-out measures, they want to first
apprehend the distinction among choose in vs. choose out and what every technique seeks to
accomplish (Yu, Shi, and Wu, 2020).
Meaning of the Opt in:
Opting in method that a consumer will take an affirmative movement to provide their
consent. The maximum not unusual place manner corporations enforce choose-in strategies is
through checkboxes. When supplied with a checkbox, the consumer need to take movement to
test the box, which denotes their consent. Opting in may be utilized in quite a few situations,
which include subscribing to e mail and publication mailing lists, accepting cookie use, and
agreeing to felony policies.
Example of Opt in in the instance below, the business could see a choose-in mechanism in
movement: Here, while a consumer registers for an account, they have got the possibility to
choose in to receiving emails in addition to conform to the phrases of use and privateness
policy. When customers first arrive in this page, each bins are unchecked, permitting them to
take direct movement to suggest their preferences. Opting out method a consumer takes
movement to withdraw their consent. There are fundamental approaches to provide choose-outs
to customers.
The first manner is a pre-emptive choose-out wherein customers can uncheck a marked box —
or in any other case undo a confirmation — so as to suggest that they're now no longer interested
by the pastime they are providing them. In this example, anticipate that the 2 bins at the lowest of
the shape had been already checked while the consumer accessed the page. The consumer then
has the possibility to choose out, which means they uncheck the bins in an effort to withdraw
their consent (Hemachandran, Khanra, and Jaramillo, 2022).
Other ethical issues of gathering, maintaining and using the data in the way proposed:
Having get right of entry to sizeable collections of statistics has large implications for
society. Coupled with advances in technology, now greater than ever before, the human race
has the cap potential to resolve greater issues and make even greater advances.
Location Tracking:

Google’s region records are one such arguable instance referring to the gathering of private
statistics. In 2018, an Associated Press research into Google showed that “many Google
offerings on Android gadgets and iPhones save the region statistics despite the fact that the
business has used a privateness placing that asserts it'll save you Google from doing so”. The
document highlighted that through converting a placing to show Google’s Location History off,
the entity has most effective preventing Google from including their actions to its Timeline
feature. Other offerings consisting of maps, climate updates and net searches nonetheless allow
Google to timestamp and pinpoint their region. Google argue that those offerings are “decide in”
and customers have the controls to show it off withinside the “Web and App Activity” settings
(Dennehy, Pappas, and Katina, 2020).
How Google Uses Data of the business:
Google are obvious approximately how and why they accumulate this statistics, which may be
discovered on their nearby statistics coverage webpage. The statistics could be processed
through their system getting to know algorithms to offer the business with offerings that Google
thinks could be applicable on them. For instance, while the business gets in an automobile and
open maps, the AI may recognize in which they probable to need to move primarily based
totally at the time of day and notify the business of site visitors conditions. When entity do an
internet search, consequences and marketing and marketing are customized through Google’s
AI to be greater applicable for their region and interests. One of the moral troubles that this
highlights is certainly considered one among consent.
Data and Smart Cities
A clever metropolis is a metropolis that makes use of digital gadgets consisting of sensors to
accumulate statistics and to apply it to enhance operations and offerings withinside the area.
Examples of blessings to the ones residing those towns include: Real-time site visitors
management, i.e. controlling lighting fixtures to lessen tour instances and emissions Smart boxes
relaying data on how complete they're in order that they most effective get emptied while needed
Street lighting fixtures that switch on most effective while needed, ensuing in electricity savings
Data may be fed into system getting to know algorithms to assist plan for sustainable
improvement of the metropolis (Goto, 2019). For instance, through recording footfall, site
visitors, and air nice from across the metropolis, system getting to know may be used to assist
become aware of new routes for public transport. In principle, the gathered statistics seems to be

getting used for moral functions because the intention of a clever metropolis is to enhance the
lives of individuals who get right of entry to its offerings.
Laws Governing the Use of Data
Some governments have surpassed legal guidelines to manipulate using identifiable statistics
referring to their residents, which include the General Data Protection Regulation withinside the
EU and the Data Protection Act withinside the UK. These legal guidelines intention to
manipulate how enterprises accumulate and use private statistics, in addition to outlining the
rights their residents have over how their statistics is used.
Artificial Intelligence:
How developments in AI intersects with data security, privacy and ethics, especially in light of
your proposed analytics project:
The main focus of artificial intelligence is on the customers more and more accurate.
Nowadays with the change in surroundings, the business has become more invasive, the
government has started to look into the regulations they have made so that they can easily control
the business activities. It plays a significant role for the Australian bank to safeguard the breech
of data that has been taken place earlier (Shim, Gottipati, and Lau, 2021).

CONCLUSION
Data and its importance plays the vital role in the success and failure of an organisation as
from time to time its security and safety is needed. In this report the complete discussion has
been carried out regarding the security of National Australian bank, artificial intelligence etc and
recommendation has been made regarding the to which the organisations data could be secured
from outsider’s attack.

REFERENCES
Books and Journals
Yalcin, A.S., Kilic, H.S. and Delen, D., 2022. The use of multi-criteria decision-making methods
in business analytics: A comprehensive literature review. Technological Forecasting
and Social Change, 174, p.121193.
Sachin Kumar, S., Dube, D. and Aithal, P.S., 2020. Emerging Concept of Tech-Business-
Analytics an Intersection of IoT & Data Analytics and its Applications on Predictive
Business Decisions. International Journal of Applied Engineering and Management
Letters (IJAEML), (2020), 4(2), pp.200-210.
Griva, A., 2019. Data-driven innovation in shopper marketing: a business analytics approach
for visit segmentation in the retail industry (Doctoral dissertation, Athens University
Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών).
Yu, H., Shi, Y., and Wu, J., 2020. Business analytics: online promotion with gift
rewards. Annals of Operations Research, 291(1), pp.1061-1076.
Hemachandran, K., Khanra, S., and Jaramillo, J. eds., 2022. Machine Learning for Business
Analytics: Real-Time Data Analysis for Decision-Making. CRC Press.
Dennehy, D., Pappas, I., and Katina, M., 2020. Business Analytics for the Management of
Information Systems Development.
Goto, M., 2019, May. Latent class models on business analytics. In 2019 IEEE International
Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD) (pp.
142-147). IEEE.
Shim, K.J., Gottipati, S. and Lau, Y.M., 2021, April. Integration of professional certifications
with information systems business analytics track curriculum. In 2021 IEEE Global
Engineering Education Conference (EDUCON) (pp. 1337-1344). IEEE.