Management Information System Analysis: HSBC New Zealand Banking

This report provides an analysis of Management Information Systems (MIS) within the banking sector, using HSBC New Zealand as a specific case study. It begins with an introduction to MIS and its importance, followed by an examination of HSBC's current situation and IT infrastructure. The report d...Read More

Management Information System
Student Name
Institution
Table of Contents

Part 1: Introduction..............................................................................................................3
1.1 Current Situation........................................................................................................4
Part 2. IT infrastructure and emerging technologies – Management issues........................4
2.1 Issues and Challenges................................................................................................5
Literature Review............................................................................................................6
Big Data – Background and Recommended Strategy: A Report to CEO............................7
What is Big Data?............................................................................................................7
The potential of Big Data................................................................................................8
How businesses are using Big Data (Banking Sector)..................................................10
Business opportunities and benefits from Big Data......................................................10
Problems and drawbacks of Big Data............................................................................12
The future of Big Data and the next steps for taking advantage of Big Data................14
Recommendation...............................................................................................................15
Conclusion.........................................................................................................................16
Bibliography......................................................................................................................18
APPENDIX....................................................................................................................22

Part 1: Introduction
The purpose of this report is to clarify what is "Management Information System" (MIS)
in a banking sector in New Zealand. This report will talk about how the management information
system helps distinctive offices in the organization and how the organization used to handle or
manage MIS. The capacities and advantages of utilizing MIS will similarly be analyzed in this
report. MIS can give countless benefits to ventures in the banking sector and it is vital for the
achievement of any business. It includes gathering information and preparing to give valuable
information that is applicable to the procedure of decision making in the organization. Since MIS
is critical for the accomplishment of any business, it is essential to be skilled and knowledgeable
about the topic (Laudon & Laudon, 2009). MIS can give numerous advantages to organizations
in each industry. There is a different requirement for information from every office in an
association. Thus, the management information system helps every office in an unexpected way.
In this paper, we will concentrate on the MIS infrastructure in HSBC New Zealand.
The approach of technology for the world changed the lives of individuals, all over the
place and wherever technology turned into an essential factor in each business utilize. Those
businesses that don't utilize technology are probably going to fall flat and end up bankrupt. This
report tells the significance of management information technology in HSBC's working
environment. With the assistance information management systems, HSBC can easily manage all
financial and transactional work, which makes advances more profitable yet not more painful. It
also discusses the HSBC Internet site and how simple the life of a client has made with this
website. This report assesses the situation of the utilization of technology in the working
environment, affected by technology in the workplace of HSBC Bank, the title of execution,
advantages and disadvantages (Boykin, n.d.).

HSBC is one of the biggest financial and banking administrations associations on the
planet. HSBC was the main remote bank to issue a managing an account permit in New Zealand
in 1987 after the control of the money markets of the nation around the same time. HSBC at first
opened its head office in New Zealand in Wellington, however, in 1989, it was moved to
Auckland, while an officer was kept up in the capital. The bank offers an extensive variety of
keeping money benefits through three worldwide businesses in New Zealand: retail saving
money and riches management, business saving money, and worldwide saving money and
markets. HSBC works in New Zealand as a part of Hong Kong and Shanghai Banking
Corporation Limited, which is incorporated into the Hong Kong SAR.
Website: https://www.hsbc.co.nz/
1.1 Current Situation
HSBC Bank gives an extensive variety of financial and banking services in its work
environment with the assistance of IT and computing. One of the financial services given to its
clients around the globe is the capacity of e-banking, which has turned into an expanding trend
with the universe of the present revolution of the "Internet and Mobile Computing. Nonetheless,
there are numerous issues withe-banking like ethical, security and legitimate, and you should
consider them as it is a threat to your money (About HSBC, n.d.).
Part 2. IT infrastructure and emerging technologies – Management issues
Present day information technology (IT) is considered as the consequence of an assembly
between current computerized processing and correspondence advancements. It is realized to
compute present-day digital communication technologies between current Information
Technology (IT) and the consequence of this meeting. Its significance is in form of an
'information system' which incorporates a sequence of interactions between individuals,

information, equipment and programming, associations and their social condition. Its
significance is 'the establishment of information system', which incorporates a sequence of
interactions between individuals, information, equipment and programming in the social
condition and their association.
Information and related innovations are presently so essential for the achievement of the
business that the information is consistently considered as an independent issue of development
at a similar level with capital, land and work. Information and technology are critical for the
success of the business, now the information with financial specialists and labourers, the level of
innovation on a general case as an autonomous count. In the twenty-first century, each business
director must realize the job that information technology plays in its association as well as in the
society, under which their association must compete.
2.1 Issues and Challenges
Without completely realizing its communication with social technology, the full
knowledge of information technology is impossible. A total knowledge of information
technology has built up the world, without it being difficult to consider social communication.
IT experts who are unconscious of the social, political and monetary political parts of their work,
they are anxious to keep up the decision making. The consistent reason behind its failure in
Information Technology projects, in reality, is ignored on people (that includes organizational
and managerial) factors. In this manner, a business or IT proficient cannot ignore the soft
components in the information system, which ends up being difficult to get right! Failure because
of their projects in actual tasks is a continuous work in an association, in which management and
passage of human variables, including any business or IT system, information about the business

have been disregarded, 'medium 'Can have components, the privilege to demonstrate the hardest
to accomplish! emerging technologies.
Literature Review
Discussion: This paper features the rising trend in information technology and its effect
on creating an organization in countries. Changes in Information Technology (IT) and
Information Systems (IS) are so quick and far-reaching that they look for consideration as
capacity working in numerous application zones. Technology Fusion is encouraging numerous
developments and is empowering the improvement of new IT services, products and process.
Developing nations require institutional courses of action to monitor IT and Information System
changes at a worldwide level to take full advantage of new improvements. Remembering the
negative and positive parts of IT for developing nations, a national information management
procedure must be set up with a complete limit building plan. Makers of the policy must be made
aware of its adaptability Information System and IT applications, which are especially reasonable
for their effect on nature and tendency of hierarchical structures, because of which many centre
layers are reduced. (Bowonder, Miyqake, & Singh, 1993)
In the journal, Strategic planning for management information systems, authors said that
the plan for the information system in the association is for the most part not firmly identified
with overall strategic planning processes through which the association gets ready for its future.
An MIS strategic planning process has been hypothesized and represented that associates the
association's "strategy set" to the MIS (King, 1978).
Analysis: This literature explains the changes between the information system and the
up-gradation in the association of current enterprises, changes among firms and both. The
developing hierarchical worldview comprises beneficial changes in numerous measurements.

The information system revolution is especially detectable as far as organizational change as the
two causes and impact. It tends to be shown by thinking about two noteworthy factors: the area
of information and the area of choice rights in associations. In view of the expense of
information transmission and processing, "MIS plan" or "solution for the redesigning the
organization" of decision-making information to exchange information, can be a successful way
to deal with getting the important collocation of decision rights and information. At the point
when information systems change fundamentally, no ideal organizational structure can hope to
be unaffected. Remembering the exchange between incentives, information and decision rights in
a bound together manner, there are new experiences and a superior authoritative arrangement.
This literature in the special issue address different parts of this discussion. In spite of critical
progress, our understanding of the financial job of the information system in associations stays in
our youth. They presumed that the successful design of the advanced enterprise should
additionally decrease the historical contrast between research in information system and research
in financial aspects (Brynjolfsson & Mendelson, 1993).
Big Data – Background and Recommended Strategy: A Report to CEO
What is Big Data?
Large or Small business organization require important data and bits of knowledge. With
regards to understanding the needs of your intended interest group and clients, big data assumes
an essential job. It additionally encourages you to satisfy their requirements. The right data
should be introduced adequately and legitimately broke down. This can help a business
association accomplish diverse objectives (Fernandes, O'Connor, & Weaver, 2012).
In basic words, big data is a mixture of all tools and process identified with the utilization
and management of huge data sets. At the point when Big Data ideas interface with various

systems and one another, at that point there was a need to realize trends, inclinations and patterns
in huge databases. With big data, business associations can utilize analytics, and the most
profitable clients can realize it. It can also enable organizations to make new services,
experiences and products.
Knowing the value of big data remains a test, however other difficulties, including
financing and rate of profitability and aptitudes, stay at the forefront of a wide range of
businesses that implement big data. Along with this, a survey of Gartner for 2015 demonstrates
that over 75% of organizations are putting or wanting to put resources into expansive data in the
following two years. These findings demonstrate a critical increment from a comparative
overview done in 2012, showing that 58% of organizations have put or are wanting to put
resources into big data within a couple of years.
The potential of Big Data
Organizations that are using big data of over 50% will probably observe different
advantages than group under 50%. In the pre-gathering, around 50% of around three
organizations can gauge the effect of multi-channel campaigns around one of every two
organizations in the class. They will probably have the capacity to effectively incorporate the
activity into channels, enhance client feedback, and give customers decisions than the group,
who utilized extensive data of under 50%. These capacities generally mean better deals. It has
been critical to utilize Big Data for some, driving organizations to enhance competition. In
numerous businesses, new business visionaries and established contenders utilize data-driven
techniques to compete, innovate, and capture. You can discover examples of Big Data use from
banking to IT in relatively every field(Cukier & Mayer-Schoenberger).

As per experts, Big Data can make several new opportunities for development. It can
similarly result in another category of business, for example, collecting and analyzing data of
industry. Most of these organizations will sit in the centre of the big information about products
and services, buyers and suppliers, customer preferences and intentions. In industries,
organizations should begin to aggressively build up their extensive data capabilities.
Aside from the wide scope of big data, real-time nature and high frequency of data are
essential. For example, the capacity to anticipate measurements including buyer devotion was
previously handled back. With big data, such practices are being utilized even more generally. It
adds a considerable measure to the intensity of prescience. Similarly, high-frequency
organizations enable theories to be tried continuously. Also, to these benefits, Big Data helps a
business in a wide range of ways. At present, Big Data is utilized in both private and public
areas(Fisher, DeLine, Czerwinski, & Drucker, 2012).
Big data is best amongst other approaches to use and collect feedback. It encourages you
to see how clients know your product and services. Hence, you can roll out important
improvements and build up your services once more. When you investigate unorganized internet-
based life content, it enables you to feature your general input from your clients. You can
similarly break the reaction in various geographic areas and statistic gatherings. Moreover, Big
Data enables you to test a few varieties of the top of the line PC helped configuration inside
seconds. For instance, you can assemble information about material effect cost, lead times,
execution, and so on. This enables you to expand the profitability and productivity of different
processes of production(Fisher, DeLine, Czerwinski, & Drucker, 2012).

How businesses are using Big Data (Banking Sector)
The banking business creates a lot of data on a step by step basis. With a specific end
goal to separate themselves from rivalry, banks are embracing expansive data investigation quick
as a feature of their essential technique. The investigation will be an essential distinct advantage
for banks. In this infographic, we will investigate the scale at which banks have embraced
examination in their business(Cukier & Mayer-Schoenberger).
Bigger data can enable customers to pick up a more customized understanding and
accomplish vital showcasing objectives for personal, contextual and relevant offers and
communication. When you send interchanges that are in opposition to dim correspondence or
even superfluous Mastercard offers, shoppers trust that you really know them and are doing their
part to contribute in the genuine relationship (Data, data everywhere. (n.d.). Retrieved 10 9,
2018). They exploit those recommendations and in addition promote exchange rates, lifetime
value and customer stocks. Customers connect with financial administrations organizations
through different channels - mobile, websites, physical branches, kiosks, physical branches,
ATMs, e-commerce sites, and so on. Data-driven client insights empower more customized
campaigns that increase high transformation and income growth. Insights of customers can
similarly make predictions, which can enable FSI to intercede in ventures to hold customers.
Business opportunities and benefits from Big Data
Big data is a strong tool. Here are the benefits of big data in banking and finance:
Proficient Risk Management to Stop Frauds and Errors: Business Intelligence (BI)
apparatuses can recognize the potential threats related to gathering pledges forms in banks. With
the assistance of big data investigation, banks can investigate trends in the market and can settle
on increasing or reducing interest fees for various people in various regions. Errors of Data Entry

mistakes from the manual form can be limited as client data shows too big data about
irregularities. With help of fraud detection matrix, clients who have poor credit ratings can be
recognized so the bank cannot pay them any kind of loan or credit. Amazingly, one more
significant application in banking is restricting the frequency of suspicious financial or
fraudulent transaction which can promote such terrorism or fraud activities (Polonetsky & Tene,
2013).
A personalized solution of banking to the customer: Big Data Analytics can enable
banks to know the behaviour of the client in view of their information designs, shopping
patterns, the motivation for speculation, and contribution from the individual or financial
foundation. This data assumes a vital job in winning client reliability by making individual
banking answers for them. This has a cooperative connection between banks and clients.
Improved banking arrangements can similarly boost the generation of leads(Fernandes,
O'Connor, & Weaver, 2012).
Simple recording of regulatory compliance: Majority of the representatives of the bank
guarantee that ensuring banking services takes into account all regulatory compliance standards
set by the administration 68% of bank workers say that their biggest concern is in services of
banking. BI techniques can assist customers with analyzing and track every single administrative
requirement by experiencing every individual application for exact confirmation.
Advances Total Performance: With performance investigation, worker execution can be
evaluated whether they have accomplished month to month/quarter/yearly objectives. Dependent
upon the data got from the present sales of representatives, huge data investigation can decide
approaches to enable them to better scale. Anyhow banking administrations can be completely

tried to check what works and what does not(IBM Big Data - What is Big Data - the United
States, n.d.).
Successful Customer Feedback Analysis: There will be numerous request and input on
the regular basis of the Bank's Customer Support Centers. Indeed, social media still work as a
voice platform for customer experience. Big Data Tools can enable you to get over the high
volume of information and answer every one of them quickly and adequately. Clients who feel
that their banks are of immediate significance to their reaction, they will stay faithful to the
brand.
All things considered, the banks who don't grow BigData waves and don't ride, they
won't just remain behind but will end up outdated. Receiving the Big Data Analytics and other
leading-edge devices to replace the current banking division will assume a critical job in
deciding the lifespan of banks in the advanced period (Data, data everywhere, n.d.).
Problems and drawbacks of Big Data
Adaptability
With incredible data, it is essential to have the capacity to scale the on-request all over.
Numerous associations neglect to remember that how projects of big data can evolve and
develop quickly. Consistent stoppage of a task to include extra resources in time for data
investigation. Big data burdens similarly tend to be complicated, making it hard to allocate that
resource. The limit of this expansive data challenge fluctuates by the solution. An answer in the
cloud will scale quicker and faster than on-premises solution (Chen, Chiang, & Storey, 2012).
Absence of ability
Business data are feeling the absence of ability. Not exclusively in the absence of data
researchers, but with a specific end goal to effectively actualize extensive data extends, a modern

group of data researchers, engineers and experts are required, who have enough space learning to
distinguish profitable bits of knowledge. Numerous Big Data merchants need to conquer this big
data challenge by giving their own educational assets or by giving a larger part of the
management.
Functional insights
Having more data does not really have a working understanding. An imperative test for
data science groups is to recognize the proper data sources for a business reason and to analyze
and collect it to satisfy that target. Even so, the challenge doesn't stop there. When major patterns
have been recognized, organizations must be set up to work for them to acquire business value
and roll out fundamental changes (Provost & Fawcett, 2013).
Nature of measurements
The nature of the data is certainly not a new problem, however, the capacity to store each
bit of data in its unique form joins the issue. Incorrect data costs in the United States are $ 600
billion every year. Basic reasons for incorrect data must be tended to, including errors of client
input, incorrect data linking and duplicate data. Nevertheless, being aware to maintain and clear
data, calculations of large data can similarly be utilized to enable data cleanup.
Cost Management
It is hard to project the expense of projects of big data, and observe how rapidly they
scale, they can eat assets rapidly. The challenge is to remember every one of the costs of the
project for securing new equipment, paying the cloud supplier, and enlisting extra workforce.
The organizations that follow projects on-premises must remember the expense of training,
support and extension. Big data in cloud tasks must be thoroughly assessed with the

administration level agreement with the supplier keeping in mind the end goal to decide how it
will be utilized and if there is an extra charge (Zhang, 2013).
The future of Big Data and the next steps for taking advantage of Big Data
With the blast of Cloud Technologies, the need to tilt the rising ocean of data to design
digital architecture was based on the ground. As we know where inventory, transactions, and
even IT framework can be completely present in the virtual circumstance, a right approach toBig
data makes a complete outline by collecting data from numerous sources, including the
accompanying(Vance, n.d.):
Future of Big Data:
Security patterns and events
 Virtual network log
 DiscrepancyResolution andDetection
 Global network traffic patterns
 Customer preference tracking and behaviour
 Compliance information
 Social channel data for brand sentiment tracking
 List Level and Shipment Tracking
 Geo Location Data
 Other specific data that affect your organization
Indeed, even the most moderate analysis of big data patterns shows a ceaseless decrease
in on location physical foundation and increasing reliance on virtual advancements. With this
advancement, there will increase reliance on partners and tools, which can deal with a reality
where machines are being replaced by bytes and bits that copy them. Big data isn't only a vital

part of the future, it tends to be a future as it were. The way organization, and IT experts and
business, who support their help, build up an approach to achieve their central goal, how we
store, understand and move the data (Vance, n.d.).
The next steps for taking advantage of Big Data
Make a corporate culture that is clever about Big data and Analysis: More data are
being operated by implementing insights for everything from important business processes and
decisions in the manner that the organization operates mainly. Instead of depending on decisions
in view of premonition, the business touches representatives, for example, machine-to-machine
processes, management system, tasks and daily decisions to create everything-based societies
and workforce(Armah, 2013).
Make a requirement for security, protection and organization: Organizations need to
grasp development - while managing hazard - by considering and following up on quicker
experiences than analyzing big data. They should install security, protection and organization
approach specifically into all their day by day process.
Recommendation
One of the reasons that organization should invest in big data is the data today is
becoming more desperate and is growing. The second reason is that bad quality of data is costing
you heavy on your business. The third reason is that most of the organization are investing or
already had invested in big data and this becomes a competitive advantage for them. And last but
the most important reason is that the organization is not efficient at reporting the information in
absence of big data(Singh & Reddy, 2015).
Big data will have its impact on the all the aspect whether it's related to the customer, or
its related to suppliers. Business Intelligence is one that has taken by most of the companies

today. Big data will also affect future planning by enhancing the same and will also affect
knowledge management.
Big data implies a big risk in financial administrations. Every so often large volumes of
data some of the time require processing on the velocities, so hazard inclined to firms in the
financial segment is a clear and current concern. Today, a solution of big data and progressed
analyses open new points of view with financial risk moderation and also critical competitive
advantages.
Tools required for Big Data implementation in HSBC Bank:
1. Cassandra
2. Hadoop
3. Java
4. Good Computer System
5. Latest Operating Systems
HSBC can measure its success in big data by assessing the success of an analytics
speculation is the nature of the subsequent business decisions, normally estimated as far as profit
performance, client administration or cost, for example, the key performance indicator(KPI)

Conclusion
Big Knowledge Analytics is at present being executed in numerous zones of the banking
area and causes them to deliver high administrations to their customers, each external and
internal, and additionally to enhance their passive and active systems. Their administration is
likewise for them. This examination analyzed transaction and investigation for the banking
segment. We have seen one of those techniques, even though client emotions have been caught
and not used to evaluate the working of the bank. There are a few manners by which banks and
different financial foundations have begun catching knowledge related with the customer
identified with the enthusiastic investigation, from internet-based life sites to different promoting
research channels(Tene & Polonetsky, 2012).

Bibliography
About HSBC. (n.d.). Retrieved 10 8, 2018, from http://www.hsbc.com/about-hsbc
Armah, N. A. 2013. Big Data Analysis: The Next Frontier. Bank of Canada Review, 2013, 32-39.
Retrieved 10 9, 2018, from http://bankofcanada.ca/wp-content/uploads/2013/08/boc-
review-summer13-armah.pdf
Bowonder, B., Miyqake, T., & Singh, T. 1993. Emerging trends in information technology:
Implications for developing countries. International Journal of Information Management,
13(3), 183-204. Retrieved 10 8, 2018, from
https://sciencedirect.com/science/article/pii/026840129390031x
Boykin, G. (n.d.). The History of Management Information Systems. Retrieved 10 8, 2018, from
https://bizfluent.com/about-5444925-history-management-information-systems.html
Brynjolfsson, E., & Mendelson, H. 1993. Information Systems and the Organization of Modern
Enterprise. Journal of Organizational Computing and Electronic Commerce, 3(3), 245-
255. Retrieved 10 8, 2018, from http://ccs.mit.edu/papers/ccswp200
Chen, H., Chiang, R. H., & Storey, V. C. 2012. Business intelligence and analytics: from big data
to a big impact. Management Information Systems Quarterly, 36(4), 1165-1188.
Retrieved 10 9, 2018, from
http://hmchen.shidler.hawaii.edu/chen_big_data_misq_2012.pdf
Cukier, K., & Mayer-Schoenberger, V. (n.d.). The Rise of Big Data. Foreign Affairs(May/June),
28–40. Retrieved 10 9, 2018, from
http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-
schoenberger/the-rise-of-big-data

Data Scientist: The Sexiest Job of the 21st Century. (n.d.). Retrieved 10 9, 2018, from
https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
Data, data everywhere. (n.d.). Retrieved 10 9, 2018, from
http://www.economist.com/node/15557443
Fernandes, L. M., O'Connor, M., & Weaver, V. 2012. Big Data, Bigger Outcomes. Journal of
AHIMA, 83(10), 38-43. Retrieved 10 9, 2018, from
http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_049741.hcsp?
ddocname=bok1_049741
Fisher, D., DeLine, R., Czerwinski, M., & Drucker, S. M. 2012. Interactions with big data
analytics. Interactions, 19(3), 50-59. Retrieved 10 9, 2018, from
https://microsoft.com/en-us/research/publication/interactions-with-big-data-analytics
IBM Big Data - What is Big Data - United States. (n.d.). Retrieved 10 9, 2018, from
www.ibm.com: http://www.ibm.com/big-data/us/en/
King, W. R. 1978. Strategic planning for management information systems. Management
Information Systems Quarterly, 2(1), 27-37. Retrieved 10 8, 2018, from
https://pdfs.semanticscholar.org/3e9d/c86eec51d0e3444be59f2887c384e2ff0258.pdf
Laudon, K. C., & Laudon, J. P. 2009. Management Information Systems: Managing the Digital
Firm. Prentice Hall/CourseSmart. Retrieved 10 8, 2018
Polonetsky, J., & Tene, O. 2013. Privacy and Big Data: Making Ends Meet. Retrieved 10 9,
2018, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2628412
Provost, F., & Fawcett, T. 2013. Data Science for Business: What You Need to Know about Data
Mining and Data-Analytic Thinking. Retrieved 10 9, 2018, from
https://amazon.com/data-science-business-data-analytic-thinking/dp/1449361323

Singh, D., & Reddy, C. K. (2015). A survey on platforms for big data analytics. Journal of Big
Data, 2(1), 8-8. Retrieved 10 9, 2018, from
https://link.springer.com/article/10.1186/s40537-014-0008-6
Tene, O., & Polonetsky, J. 2012. Big Data for All: Privacy and User Control in the Age of ...
Northwestern Journal of Technology and Intellectual Property, 11(5), 239. Retrieved 10
9, 2018, from http://scholarlycommons.law.northwestern.edu/cgi/viewcontent.cgi?
article=1191&context=njtip
Vance, J. (n.d.). Big Data Analytics Overview. Retrieved 10 9, 2018, from
https://www.datamation.com/applications/big-data-analytics-overview.html
Zhang, D. 2013. Inconsistencies in big data. Retrieved 10 9, 2018, from
http://ieeexplore.ieee.org/xpl/articledetails.jsp?reload=true&arnumber=6622226

APPENDIX
Activity A: Journal
DATE OF
RESEARCH
ACTIVITY
TOPIC
RESEARCHED
TIME DURATION BRIEF
DESCRIPTION OF
RESEARCH
ACTIVITY
5-10-2018 Background of the
HSBC, New Zealand.
It took 2 days for
performing the
research on the given
topic
Here, at first, efforts
are made in terms of
getting detailed
information about the
selected topic under
such like its vision,
mission, and corporate
structure etc. It is
through this way only;
information about the
MIS structure being
followed by the
selected company is
gathered.
7-10-2018 Identifying company
IT structure
This task also took the
2 days
Here, in the given task
detailed analysis will
be carried out on the
IT structure of the
HSBC bank. Thus,
with an aim to do the
same assistance has
been taken from
different type of
sources. In addition to
this, here basically

information has been
gathered in relation to
the challenges and
issues which are being
faced by the bank in
its IT structure.
Besides this, efforts
are also made in terms
of examining the
benefits that the bank
has gained in the task
of using the IT
structure which is of
MIS (management
information system).
Thus, within the two
day period, detailed
information in relation
to the IT infrastructure
of the company is
gathered.
9-10-2018 What is big data and
how HSBC bank is
using big data
It took 1 day as it is
very easy to get the
information on the
given topic.
In accordance with the
given context, here at
first I have gathered
the information in
relation to big data.
Herein, at first,
information is
collected in relation to
what is big data is all
about. In addition to

this, afterwards,
research is carried out
in relation to the
potential of big data.
In this regard, different
benefits, as well as
disadvantages which
are related to the same,
have been researched.
Thus, it is through
given way only
detailed information in
relation to the topic of
big data is gathered.
Here, after that, the
concept of big data is
related to the HSBC
bank. Here, it is
examined that how the
cited bank is using the
big data. In addition to
this, it has also being
examined that whether
the company is getting
any kind of benefit
from the big data or
not. Finally, after that,
the information has
been gathered in
relation to the future of
big data in the market.

It is through this way
only detailed
information in relation
to the specific topic
has been gathered.
10-10-2018 Policies related to big
data
It took 1 day Here, more in-depth
details have been
gathered in relation to
big data. Here,
basically, efforts are
made in terms of
getting information
about all laws and
standard which are
associated with the big
data. Here, it is by
complying with the
given type of activity
only implication of the
same on the function
of HSBC bank has
been assessed. It is
through this way only
the given task has been
completed within the
specific time frame in
an effectual way.