UUIS8000: Global Information Systems Strategy Report - ANZ Bank

This report provides a comprehensive analysis of ANZ Bank's information system strategy. It begins with an executive summary highlighting the evolution of information technology and the increasing need for secure and reliable systems in the banking sector. The report then delves into ANZ Bank's background, structure, mission, and business strategy. It explores the bank's current IT infrastructure, including hardware, software, and networking resources, while also identifying challenges such as outdated hardware and data access issues. The report investigates emerging technologies like cloud computing, mobile phones, and analytics, recommending the incorporation of big data. It justifies this recommendation by outlining the potential of big data, its applications, business opportunities, and drawbacks. The report concludes by suggesting steps to leverage big data, including resource identification and team creation, and addresses associated risks, such as storage and retention. Supporting tools, solutions, and skills required in big data are also discussed, along with a method to measure the success of a big data initiative. The report aims to provide a strategic overview of ANZ Bank's information systems, offering insights into current practices and future opportunities.

INFORMATION SYSTEM STRATEGY 1
Information System strategy
Student name
Student id
Institution
Tutor name
Date

INFORMATION SYSTEM STRATEGY 2
Executive summary
Information technology has evolved. Evolution in information technology has been
motivated by the exponentially increasing need for more secure, robust, reliable systems.
Sensitive information requires a high level of integrity to meet the confidence level requirement
of clients. The need for speed in storage and retrieval has also motivated shifting from the
traditional information storage systems.
In history, the first information storage system was the human brain. Accounts and other
information were dependent on the human capacity to remember. It was inconvenient, and the
invention of writing and reading led to paper information storage. Paperwork faced the
challenges of fading writing ink, vandalism, and tiresome. Later the computer work use came
into play. The data systems were mainly offline, but online software was then invented. This
article delivers a report in the manager's capacity to the CEO on the information system in
banking.

INFORMATION SYSTEM STRATEGY 3
Table of Contents
Introduction.................................................................................................................................................3
Organization background............................................................................................................................3
AZN bank structure......................................................................................................................................4
ANZ mission.................................................................................................................................................5
Relationship with the government and other organizations.......................................................................5
ANZ business strategy.................................................................................................................................5
Organization URL.........................................................................................................................................6
IT infrastructure and emerging technology.................................................................................................6
ANZ current information technology infrastructure....................................................................................6
Challenges of managing the information technology infrastructure...........................................................8
Emerging technology in information infrastructure....................................................................................9
Cloud computing.....................................................................................................................................9
Mobile phones.......................................................................................................................................10
User interface........................................................................................................................................10
Analytics................................................................................................................................................10
The technology already in use...................................................................................................................10
Recommendation on the emerging technology to incorporate................................................................11
Justification of recommendation...........................................................................................................11
Big data......................................................................................................................................................11
The potential of big data...........................................................................................................................12
How organizations are using big data........................................................................................................12
Business opportunities and benefits from big data...................................................................................13
Drawbacks of using big data......................................................................................................................13
Future of big data......................................................................................................................................14
Steps to take advantage of big data..........................................................................................................14
The recommended strategy to leverage big data......................................................................................14
Identify the resources required.............................................................................................................15
Create a vibrant team of experts...........................................................................................................15
Reasons ANZ bank should consider investing in big data..........................................................................15
The key areas big data is likely to be applied in ANZ bank Future planning..............................................15

INFORMATION SYSTEM STRATEGY 4
.Risks of big data........................................................................................................................................16
Storage and retention............................................................................................................................16
Cost management.................................................................................................................................16
Incompetent analyst..............................................................................................................................16
How to mitigate the above risks................................................................................................................17
Supporting tools, solutions, and skills required in big data.......................................................................17
How to measure the success of big data initiative....................................................................................17
Composition of the governing body of big data........................................................................................17
Conclusion.................................................................................................................................................18
Recommendation......................................................................................................................................18
References.................................................................................................................................................19

INFORMATION SYSTEM STRATEGY 5
Introduction
The highest percentage of the New Zealand population has at least once been involved in
a trade. Some people are involved in the trade as a profession while others are in search of
consumers' goods. The business in the discussion is not limited to the product or the field.
Mining, real estates, agriculture, art, and service delivery are considered to fall under the same
capacity. The criterion in use is consideration of monetary exchange. At times the exchange
involves no business activity in cases like inheritance, gifts, or donations.
When the above scenarios involve a large amount of money, security concerns of the
holder becomes a subject to risk (Ani, 2017) Also, some people have the willingness and
capacity to carry out business activities but suffer financial disadvantages. Further, valuable
items like documents and expensive metals like gold and silver subjected the owners to the
security threat hence the demand for safety.
The above threats and risks became a business idea. Individuals in the BCs era
established a small organization where they gave out grain loans and received interest in a larger
amount of the same commodity. Later, they used gold and other valuable items until the use of
money came into being Bakhtizin, Loginov, Shkuta, & Abramov, 2018).
People who had accumulated high amounts of valuable items and money got an
assurance of their security when stored in the organization. This is how banking came into being.
The idea and the activities spread throughout the universe. Many countries have banking
institutions, and New Zealand is no exception.
Organization background
The organization in discussion in this report is ANZ bank. The bank is the leading among
the largest in New Zealand owing to its capital, employees, and facilities. The bank has about

INFORMATION SYSTEM STRATEGY 6
9000 employees, 199 branches, 652 ATMs. The assets amounts to $163 673.50 and $1,347,867
liabilities. This statistics is a clear indicator that the bank is the second-largest and third in
capitalization across Australia (Baller, Dutta, & Lanvin, 2016).
ANZ is located in Australia; it is a multinational bank with its headquarters located in
Melbourne. Being a multinational bank suggests that it operates across the continent, Australia.
Major business processes Services offered
ANZ bank has the expertise, competence, and agility in banking. It is vibrant in market
colonization and dominance through marketing and gathering of resources to finance the
activities of the organization. The bank offers a variety of services explained each explained
concisely to fit in the limited word count of this report (Rubtcova, & Pavenkov, 2018)
The bank offers individual banking services to assist individuals in managing their
finances. These include opening and checking accounts, savings accounts, debit and credit cards
as well as the provision of insurance services (Bui, Hussain, & Kim, 2017). The bank also
provides loans to individuals and businesses for personal use and development. The bank also
offers digital banking services, which include sending text alerts, e-Statement, and online bills
payment.
AZN bank structure
The bank is owned by a group of shareholders and constitutes of some other businesses
absorbed through a merger. The organization is managed by the executive manager in the
assistance of several managers in the various departments.

INFORMATION SYSTEM STRATEGY 7
ANZ mission
The mission statement of the organization is "to shape the world where people live" in
events of homes building, business support, giving out loans, and saving for both small and big
things (Chen, Hsieh, & Wee, 2016)
Relationship with the government and other organizations
Banking is a service industry. The management of the organization understands this
hence establishing a robust relationship with other business organizations. The bank provides
financial services to businesses and individuals. The services offered to generate profit to run the
business as well as the expansion of the organization.
The bank complies with government law. The organization ensures moral observation
and ethics, environmental conservation, and pollution control to abide by the law (Dahlberg,
Hokkanen, & Newman, 2016). The business is also registered, licensed, and insured in
accordance with the governing law. The government heads are also customers.
ANZ business strategy
The management of the organization understands that getting big does not necessarily get
better. The struggle to get better is a war the organization is not intending to stop. This struggle
gives the organization the need to develop a strategy meant to improve the organization's status.
The ANZ strategy is to grow beyond the core ecosystem providing banking services to masses of
people.
The organization is also committed to creating financial needs solutions to people and
businesses across Australia (Elkhannoubi, & Belaissaoui, 2016).Further, the organization is
committed to ensuring the value of the services offered is extended beyond the norm of other
banks.

INFORMATION SYSTEM STRATEGY 8
These are a clear indication that the organization is complicated and vast hence need
extended information storage system to ensure convenience.
Organization URL
https://www.anz.com.au/personal/
IT infrastructure and emerging technology
IT infrastructure refers to the composite hardware, software, networking resources, and
services necessary for the organization's existence, operation, and management of the
information technology environment. The components are the primary tool for the realization of
the information technology services delivery on the matter of the ANZ bank. The services are
offered to customers, clients, core businesses, partners, and employees (Gupta, Suri, Dadhich,
Trejos, & Nalubanga, 2019). Emerging technology refers to information technology in the
infrastructure whose utility is yet to be realized since its development is underway. Actually,
they are figuratively emerging into the prominence of information technology right from the
development process.
ANZ current information technology infrastructure
In the struggle to maintain a high profile, reliable, and high integrity information system,
the organization has installed a robust information infrastructure. This is to ensure the
confidential information of the customers, core businesses, and the organization itself (Wang,
Yang, Zhang, & Song, 2018).
Banking information is vast and personal. This information, therefore, requires a robust
storage system. These systems include shifting from the use of paperwork in recording
transactions and balances of the clients. The shift from paper to computer work increases the

INFORMATION SYSTEM STRATEGY 9
integrity of information. This is because the evidence of altered information is maintained, unlike
with the use of paper. With paper, it is challenging to determine whether the information is in its
original state, or it has been altered. Therefore the first component of the information
infrastructure is the computer.
The computers of the organization are connected using wireless technology. This is to
enable information sharing between the employees of the organization. The connection also
allows real-time information updates and maintaining consistency. If the clients withdraw,
deposit, or carry out any transaction with any teller, the information is updated on all computers.
This connecting infrastructure is dedicated to maintaining consistency (Hawking & Sellitto,
2017).
The use of the internet has been implemented in the organization to aid research. The
banking information available over the internet has been significantly put into use. The primary
users of this information are marketing team, customer care service providers to study n trends in
banking in an effort to maintain relevance in the market. The organization was therefore
compelled to install an internet providing infrastructure in the organization. Internet
infrastructure has also helped in connecting the organization branches and the rest of the world.
Data entry in the organization is done on database software that is highly secured through the
limited authority of the processes each category of individuals can perform. The software is also
highly authenticated, and strong passwords are maintained confidential to prevent the chances of
leakages. Authentication and the software used in the bank is an information technology
infrastructure installed in the organization.

INFORMATION SYSTEM STRATEGY 10
Also, information technology is a detector integrated into the system. The detector is a
piece of hardware with software in it dedicated to detecting security aspects and fake currency
detection.
The advancement in technology has been implemented in the organization by developing
a phone application where individuals can interact with the bank and even make transactions.
The organization also has a website to improve communication and interaction with the bank
(Peng, Wang, Bi, Shen, Dai, & Wen, 2017)
Challenges of managing the information technology infrastructure
Outdated hardware is a common challenge in the information technology infrastructure
for both hardware and software. However, the user may think the technology he is using is up to
date; after a few months, a more technically advanced infrastructure will be in the market. It is
challenging to keep the infrastructure up to date (Huang, 2019). This due to the high cost and
amount of time spent in the process of updating the infrastructure.
Accessing data in the infrastructure is, at times, challenging. Internet downtime, for
instance, is a big challenge in data access over the internet that could halt the process of the
organization. Also, the data in the organization need high security, and protection of application
with the data like emails, websites, among others, is recommended. These applications are
secured using authentication technology that eats up into the network resources hence reducing
the system performance in data access and processing.
Authentication and firewalls are not foolproof, and they are subject to challenges by
cybercriminals, viruses, and malware. The organization is also positioned at a loss-making
position. The organization may even fail to continue with its operation, depending on the level of
the effects of the occurrence of the threat (Mattoni, Pagliaro, Gugliermetti, Bisegna, & Cellucci,

INFORMATION SYSTEM STRATEGY 11
2015). This problem can only be solved using backups. However, not all data the organization
employees feel is worth backing up. They only realize the effect and impact of the risk when it
occurs.
Emerging technology in information infrastructure
Emerging technology is anticipating the future of information technology. The
technology emerging must be, however, more robust, confidential, and has a higher utility than
the technology in existence. The infrastructure developed should be cheaper to buy, simple to
use, and has a feasible business use in the long run.
Technologies have been emerging and n business with a high competitive advantage with
the technology that has been in use for a while. Months later, the technology becomes obsolete,
and its continued use is a disadvantage to the business compared with the use of the latest
available technology (Laudon, &Laudon, 2016). The following are the current example of
emerging technologies.
Cloud computing
The use of the internet facilitates the development of virtual machine pieces and using
them in business. Cloud computing is an emerging technology that virtualizes hardware and
software over the internet. The advantage of cloud computing is the highly reduced physical
system infrastructure, thus reducing the cost of the system. It also promotes the concepts of
virtualization that increase the utility of the infrastructure that has little limitation in
performance. Virtual storage is vast hence more reliable (Martin, 2017). They are also accessible
from various points of and out of the organization as long as you are authenticated. The
installation and update of the system are made easier since it's done form one point and not from
the end-user.

INFORMATION SYSTEM STRATEGY 12
Mobile phones
The emergence and development rate and use of mobile phones are alarming, and
integrating them for use in business is no exception. Phones are portable, confidential, easy to
use, and can run business software. Phone applications and websites viewable over phones have
emerged with a high rate hence use in the business setting. They enable users to access the
service of the organization at their point of comfort; transacting is also made a reality over a
phone today.
User interface
The first computer used vacuum tubes and was large and huge, like a house. Today the
computer has been made portable and small; it's a pocket-sized gadget. The interface has been
improved since the emergence of the first computer to date, where the computer interface has
been improved with a great margin (Mkrttchian, Bershadsky, Bozhday, Noskova, & Muminova,
2016). This includes the sense of touchscreen. The screens are enjoyable to use, have high-
quality graphics and large views. They facilitate easy use and eliminate mouse in the
infrastructure.
Analytics
Data science has grown owing to the growth of computing technology and statistics. The
technology has been put into use in decision making through data analysis, data recovery, and
prediction.
The technology already in use
ANZ bank has already managed to improve its infrastructure and incorporated it into the
use of phones and the internet in business. It is also already enjoying the advantages of reduced
cost due to reduced infrastructure, ease of update and maintenance, as well as increased utility

INFORMATION SYSTEM STRATEGY 13
and reliability on account of cloud computing. The improved user interface is a common
phenomenon today. The bank has also switched to the use of high-quality graphics and touch
screens.
Recommendation on the emerging technology to incorporate
ANZ bank has all reason to turn to analytics. This will call for hiring experts in statistics
and computer science. They will direct their effort and skills towards data analysis, recovery, and
prediction.
Justification of recommendation
The future is unfolded. However, proper planning is a key driver and assurance of
success. Analyzing data of the past helps in predicting the future hence the determination of the
requirements necessary to handle it. The loss of organization data is immense and must be
reduced to level best. However, the efforts applied are not sufficient to bet on against the data
security, and a threat may lead to loss of the data. The analytics have the capacity to recover
these data recalling that, to some extent, the data loss would cost the organization closure. Take
into imagination losing the transaction data in a bank.
Big data
For competence in operation, the CEO and the top management have to improve
information collection, storage, and analysis. The term big data is used to refer to large volumes
of both structured and unstructured data about the activities, processes, events, cases, encounters,
and transactions carried out on a daily basis in the organization. Data in big data is also collected
form people's views, opinions, and social media (Moore, 2016). The format is not uniform for
the entire data; the format depends on the source and the collecting agent.

INFORMATION SYSTEM STRATEGY 14
The potential of big data
Experts in various fields have argued that what we know is not significant if what we do
with it has no impact (Zhang, Xie, & Yan, 2017). Making predictions and decisions requires a
deep understanding of the subject. You also have to be equipped with real figures for the
information you are talking about. It is impossible to make a comprehensive decision on
controlling the demand or expenses of the bank without adequate information. This includes the
amount spent at what particular time and the pattern of the expenses over several trade periods.
The information should be of different seasons, and it should also include similar data of similar
competitive organizations as well as in the death bed (Mattoni, Pagliaro, Gugliermetti, Bisegna,
& Cellucci, 2015) On analyzing this vast data using computer systems, the organization is in a
position to make sensible decisions that will propel the organization.
How organizations are using big data
As noted earlier in this report, decision making is entirely reliant on the previous
observation if the quality and reality of the decision is a matter of concern. The organization
realized this secretes, and the use of big data in decision making has been in use for decades
now. The data is used to carefully examine the trend in the aspect of concern to predict the likely
future state of matter. The use of big data is used to make the decision, establish a customer base,
and evaluation of the general performance of the organization.
The exact use of big data is control of demand, prediction of likely changes in prices of
goods and supplies, government policy, climate and population, or market in relation to the
business (Pan, Xu, Meng, & Chong, 2017).

INFORMATION SYSTEM STRATEGY 15
Business opportunities and benefits from big data
The primary benefit of big data is a robust, realistic, and reliable decision-making based
on facts. The data also has a small variance and high correlation, thus enabling the organization's
data experts to depict the exact causes and issues in real-time. Big data is cost saving since the
decision is made once rather than the use of small data to make partial decisions. Likewise, the
use of big data saves time in decision making. Further, it leads to quality product development
and good pricing.
Big data is a source of good opportunities for businesses and persons. The opportunities
include job and employment to the data collecting agents, the analyzing expert, the computing
infrastructure selling firm, the maintenance department, among others in a long list (Pandya,
Petersen, Rork, & Yalavarty, Ford Global Technologies 2016)
The deductions made from the data analyzed are beneficial to not only the organization but also
the customers, the shareholders, the community, and individuals or the organization who may
develop an interest.
Drawbacks of using big data
However, the advantages mentioned above in this report sounds good; using big data in
deciding for the organization is likely to suffer heavy drawbacks. First, considering the data is
complicated, vast, and comprise of elements of different structures. The analysis is not practical
over the ordinary, less costly computer infrastructure. Also, the human resource needed must
have a high level of expertise and competent skills. These two aspects suggest the analysis
process is not a cheap event. The computing elements are expensive, and the analysts are also
expensive to hire (Teh, & Corbitt, 2015)

INFORMATION SYSTEM STRATEGY 16
Big data also possess security and privacy threat to the organization when availed to the
analyst who may be ill-fated. It is important to remember this data is about everything in the
organization.
Future of big data
The use of big data is expected to become a norm in the analysis of every aspect of a
business. As the report explains in the prior segment, the technology of infrastructure is changing
and proliferating. This suggests the cost of computing elements will reduce hence reducing the
drawbacks of using big data while the advantages remain intact.
Steps to take advantage of big data
Ensure the recording of all observations of aspects of the business and a high level of
correctness to reduce errors in the analysis.
To take advantage of the big data, the organization should make good use of visuals and
graphics. Graphics are more appealing and easy to remember; hence, the message or the decision
may be implemented for long without the need for reference form the source.
The tools used in implementing big data should have a significant level of intelligence. This will
help the analyst to make the desirable decision in regards to the business capacity (Wang, Wang,
Sun, & You, 2018).
The recommended strategy to leverage big data
Compiling big data is not an easy task. It calls for collaboration agile and vibrant partners
to realize the results. The experts involved must also prove competence in the exercise from the
skills and experience they have on the subject. The process of leveraging big data should take the
following format (Yin, Jiang, & Song, 2018). Define what you want

INFORMATION SYSTEM STRATEGY 17
The organization management must first come out clear on what they need to decide on
that will require the use of big data. Is it to increase efficiency in customer service, profit, or
other operations?
Identify the resources required
The management here has to define the tools, experts, and computing infrastructure
needed to conduct the exercise and bring these resources on board.
Create a vibrant team of experts
This team will be responsible for data collecting. The data collected must prove a high
level of usability; correctness and the collection process must be feasible (Yuan, Zhao, Long, &
Zheng, 2017)
Reasons ANZ bank should consider investing in big data
Organizations have all the right to use big data. Big data saves time for the operations
since the decisions made are straight, direct, and robust to implement. They also provide
management with valuable information on how to treat the customers, employees, core
businesses, and the government (World Health Organization, 2015). Also, the information
obtained in the analysis equips the organization with a reliable analysis of the social media and
communication channels suitable for advertisement. The data also helps in decision making that
reduces extreme cost or operations and future uncertainty.
The key areas big data is likely to be applied in ANZ bank Future
planning
The future is unfolded; uncertainties characterize, and dominate it. If the uncertainty in
this aspect is a threat or a risk, the organization has to be very strategic on how to handle it.

INFORMATION SYSTEM STRATEGY 18
However, without the knowledge of what this future uncertainty could be and how it can be
mitigated, the organization is left dull.
Big data will help ANZ bank to make plans. These plans will involve the type of services
that will be offered and the activities the organization will avoid. In this case, the bank may
decide to alter the interest charged on loans to control the demand for loans (Xie, Xu, Zhang, Li,
& Chu, 2016)
Risks of big data
However, good, the big data is to use in an organization, it is subject to substantial risks.
These include:
Storage and retention
Traditional methods of data storage are not friendly to data storage, especially why the
accumulation happens at the high rate proposed by significant data collection process. It is
possible to fall short of storage space before exhausting data collection.
Cost management
Devices used in data storage are expensive, just like the process. This costly project
might end up giving infeasible solutions and recommendations, subjecting the organization to
risk of not realizing the business impact behind the substantial investment in the process (Yuan,
Yang, & Chen, 2018).
Incompetent analyst
The process of collecting data may be correct, and vast storage devices are available. But
still, the risk of incompetent analyst due to lack of the best software or skill kill the hopes of the
business.

INFORMATION SYSTEM STRATEGY 19
How to mitigate the above risks
Mitigation of the above risks involves using cloud computing technology to reduce the
cost and uncertainty in the storage space of the data being collected. The organization should
also ensure the human resource hired has adequate skills and expertise from experience (Zhang,
Lan, & Liang, 2018).
Supporting tools, solutions, and skills required in big data
To work with big data, the organization has no option when computing infrastructure is a
matter of concern. The organization will need up to date and competent computing tools and
software to handle the data.
Having outlined that; poor analysis of the data collected will outdo the competence and
accuracy in data collection. The organization will have to hire experts in both collection and
analysis stage of big data.
How to measure the success of big data initiative
The success of a big data initiative is measured using three basic criteria. The speed of
the initiative from implementation to completion and utilization is another aspect of concern. The
speed must be high for the initiative to be classified as successful (Kuruvilla, Bustreo, Mishra,
Taylor, Fogstad Gupta, Gilmore,K., Temmerman, Thomas, & Rasanathan, 2016).
The initiative should be robust, and a little change in status should not alter the initiative
with big variance. Lastly, the quality of the initiative must be relatively high and cost-effective.
Composition of the governing body of big data
Data governance constitute of several subjects. The most primary composition of big data
governing composition is the computing tools and infrastructure, expertise, and data.

INFORMATION SYSTEM STRATEGY 20
Conclusion
This article is dedicated to providing in-depth insight into the banking business. The
report begins with a deep explanation of what it is about. It is about banking. The report explains
how banking came to being in BCs era.
The report narrows down and opts to discuss banking in New Zealand, specifically ANZ
bank in Melbourne. The report gives the justifications of choice and historical background of the
organization.
The report has also explained in length what computing infrastructure is and how it is
used. An insight into the computing infrastructure used in ANZ bank has also explained in-depth
in this report. Also, the advancement in technology and how it has affected the organization has
been a point of interest in this report. These include the discussion on cloud computing and the
use of mobile phones in banking. The report has also explained the challenges of information
infrastructure, both hardware, and software.
The other part of the report has dwelt on big data discussion. The report has explained
what big data is and what it is used for. Also, the report has highlighted the benefits and
drawbacks of using big data. The report has concluded with insight into risks on big data and
how to mitigate them. This comes just after explaining strategy leverage big data as well as the
benefits and opportunities of using big data.
Recommendation
This report recommended the use of the latest technology and the emerging one with
likes of mobile banking, crime, and fake currency detector. The report also supports the use of
big data in decision making to ensure quality and reduced variance of the predictions.

INFORMATION SYSTEM STRATEGY 21
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