UUIS8000 Assignment 2: Global Information System Strategy Report

This report focuses on the global information system strategy for Crystalnix, an IT-based company in New Zealand. It explores the current IT infrastructure, including its positive and negative impacts, and discusses emerging technologies. The report addresses issues and challenges related to the IT infrastructure, such as the digital gap and data security. It also examines the implementation and limitations of big data analytics within Crystalnix, offering recommendations for its use. The report delves into how big data can be used to expand the client base, improve online promotions, and enhance security. Furthermore, the report considers factors like the speed of decision-making and the integration of machine learning. Finally, it discusses the impact of emerging technologies on firm productivity and the importance of adapting to new developments in the industry. The report concludes with recommendations for Crystalnix's global information system strategy, emphasizing the significance of data-driven insights and technology adoption for business growth.

Running head: GLOBAL INFORMATION SYSTEM STRATEGY
Global Information System Strategy
(Assignment 2)
Name of the Student
Name of the University

2
GLOBAL INFORMATION SYSTEM STRATEGY
Table of Contents
Part 1................................................................................................................................................3
Introduction......................................................................................................................................3
About Crystalnix..............................................................................................................................3
Part 2: Infrastructure of IT and emerging technology.....................................................................4
2.1 Organization’s current IT infrastructure....................................................................................4
2.2 Issues and challenges that are faced with the organization because of the IT Infrastructure 5
2.3 Emerging technologies..........................................................................................................8
2.4 Challenges and issues to the management of emerging technologies in IT........................10
Part 3 Big Data...............................................................................................................................10
3.1 Background..........................................................................................................................10
3.2 Recommendation for the use of Big Data............................................................................11
Part 4..............................................................................................................................................15
4.1 Conclusion and Recommendations......................................................................................15
Recommendation.......................................................................................................................16
References......................................................................................................................................18

3
GLOBAL INFORMATION SYSTEM STRATEGY
Part 1
Introduction
The aim of this report is to focus on the global importance system implementation that
will help in the development of the business market. The organization chosen for this report is
Crystalnix, New Zealand. The organization is basically an IT based company. The report focuses
on the strategy that is used for managing the global information and that are shared along with
the CIO of the organization. This will also include managing the operational efficiency of that
can be achieved with the Crystalnix organization. Apart from this the report will focus on the
implementation of Big Data analytics associated with the organization. The report has explained
the big data implementation within the organization properly. Apart from this the report will also
discuss the major limitations of big data. The future expectations of the organization is also being
discussed in this report. Lastly the report will propose a recommendation for implementing the
big data within the organization Crystalnix.
About Crystalnix
Crystalnix is an IT based company that was developed in the year 2008 by two C++
developers, Dmitry Lyfar and Roman Kudiyarov. The company is having its headquarter in
Auckland, New Zealand. The main focus of the organization is to develop website and mobile
application towards the company. However, the organization has gained maximum benefit with
the product services provided towards the customer. The company also provides information
regarding technology services and telecommunication services that are offered by the
organization. Apart from this it becomes important to manage the IT security services and media
management that are related to the applications offered by the organization. The main objective

4
GLOBAL INFORMATION SYSTEM STRATEGY
of the organization is to know the needs of their customer and deliver products according to their
needs. However, with the implementation of big data analytics it becomes easy to create a
blueprint vision for the market of Crystalnix. The organization is focusing entirely on providing
a cloud solution to other companies and other users associated with the market. The organization
is serving the clients through New Zealand and Australia. The company is looking for expanding
their business in neighboring country so that they can spread all over the world. In addition to
this the company is also offering several IT solutions throughout the country (Barkham, Bokhari
and Saiz 2018). The organization has the capability to make relationships properly with the other
marketing companies. The organization officials need to start with informal chat so that clients
will be able to discuss about business issues.
Part 2: Infrastructure of IT and emerging technology
2.1 Organization’s current IT infrastructure
The information system within the organization needs to be developer properly so that it
can be beneficial for the present-day New Zealand (NZ) society. This helps in identifying the
infiltration and immersion of data innovation that are associated with the frameworks within the
proficient, social, political and government circles in the society of New Zealand. This report
will address the positive impacts and negative impacts that are associated with the changes in IT.
This influences the working of the organization in various parts of New Zealand society
(Assunção et al. 2015). However, it is observed that the profile of New Zealand workforce has
changed over past years with the new demand. This also includes new ranges of abilities and
influences new customers to work on difficult activities.

5
GLOBAL INFORMATION SYSTEM STRATEGY
2.2 Issues and challenges that are faced with the organization because of the IT
Infrastructure
New Zealand comprises of several activities of IT. One of them includes the activity of
E-government which is responsible for conveying all forms of administration through the online
channel by the year 2010. Another activity which was undertaken was PROBE. This activity was
responsible for conveying Internet rapidly to all organizations of education and networks within
common place on a place by district premise. This was found productive at a cost of $48 million
(Lv et al. 2015). Systems of online education like the activity of Digital Opportunities was
impelled in the year 2001 with the thought of using information technology to improve the
informative accomplishment mainly in the fields of innovation and science. Several activities are
undergone to guarantee every parts of the people of New Zealand to get entry. These activities
also help in becoming capable in IT by including the strategy of Cyber Communities which has
given IT abilities to the long-term unemployment.
It is noticed that there is an advanced gap in the society of New Zealand. The main gap is
present in understanding and the eagerness for IT. This IT can be used for closing all the
partitions mainly the conventional ones in the society of New Zealand. Many families who have
lower power of finance do not have any responsibility for or high-speed Internet. It does not
mean that innovation of data is not approached. The main reason is that these parts of the society
of New Zealand do not have any Internet access at their residences. Internet can only be accessed
when they are at schools, colleges or open libraries. They can also access internet facility
through several assets of information technology. Though this they can get rapid internet and
enhance IT aptitudes which are essential or crucial and required in the environment of today’s
world (Bello-Orgaz, Jung and Camacho 2016). Now it might be possible to develop certainty and

6
GLOBAL INFORMATION SYSTEM STRATEGY
increase the ability for each and every social dimension of the society of New Zealand. This ion
will help to reach far entry of information technology inside the society of New Zealand and
presume the difficulties of the standard thought of the computerized gap by aggressiveness by
the gap just present in the apprehension of the potential, strength and the abilities through which
people inside the New Zealand are accommodated. The use of large amount of data and
information helps a lot in the expansion of the base of the client of the Crystalnix by providing
with administrations which are appropriate based on their criticisms.
The administrations of the organization mainly the budgetary ones are required to be
flourished with the client’s exercises of limited time and receiving costs. For this there is a
requirement of 360-degree perspective of the clients present within the market. The use of large
amount of information examination helps in receiving data and information from several clients
within the market. There is a need to refresh data of the client present in the database of
Crystalnix (Abbasi, Sarker and Chiang 2016). The clients which are associated should be proper
as considered on the account of the extension of business. The Company is noticed to have been
finding for expansion of its business so that they can be able to obtain and keep up an acute
access within the market. The method of large amount of information has been observed to aid in
providing a base of the client in the network. The need of life showcasing on the web has been
seen in showing advertisements of several items and administrations which are provided by the
organization. There is a possibility that Cyrstalnix may obtain a huge number of clients over the
stage of life online through Facebook, Twitter or LinkedIn. On the other hand, this construct
measure of the data approaching to the organizational database. In these lines the investigation of
the use of large amount of information provide help in concerning with this information and
breaking down in an appropriate manner. This helps in reducing the cost of promotion of the

7
GLOBAL INFORMATION SYSTEM STRATEGY
Crystalnix within the market (Andreu-Perez et al. 2015). This online promotion has been
believable because of the use of large amount of information and data examinations within the
organization. This investigation of the use of large amount of information has helped in gaining
the security of the data and information. The use of big data has always been helping improving
and upgrading the frameworks and structures of the knowledge of business within the
organization. The main implication of information within the organization has been assisting in
providing a better path to deal properly with the observation, analysis and looking of the
information.
Earlier there have been a number of attacks which are committed with the use of large
amount of information in the Crystalnix. The main danger and threat associated with the large
amount of information has been clumsy and awkward information. It is seen that there has been
an increase in the quantity of information which are appearing from several sources. This
information includes two sorts. They are unstructured and organized information. Big data exam
mainly concentrates on only the organized information betraying the unstructured one (Reed and
Dongarra 2015). Therefore, the information which is unstructured should be removed physically
from the storage as it is seen to have an extra room with no use of it. The second attack integrates
capacity as well as the maintenance of data and information in the database. As it is seen that
information is appearing at a quick stride, stockpiling has been seen as a matter of concern in the
large amount of information. It is overpowering the fate for Cystalnix for stockpiling handling.
The third attack has been recognised with the prevention of data and information. Appearing of
huge amount of information has been seen to make issues related to the capacity as well as
security (Zhang et al. 2017). The information security has always been an issue in the large

8
GLOBAL INFORMATION SYSTEM STRATEGY
amount of information. Computerised attacks in databases have been observed to make issues in
the investment of big data.
The organisation may find some adjustments in their several activities due to checking
the effect of big data. The main factor which may provide help to disintegrate venture is business
nature results. The main pointers of execution include benefit, administration of the client and
lastly the expense. Therefore, for an organizer of assembling, an arrangement of strong choice is
to be broken down about expense of the stock and productivity. There is a need of concentration
on the growth of the information by the organization (De Mauro, Greco and Grimaldi 2016). The
second factor which can estimate and show the effect of big data is nothing but the speed. The
speed of arranging basic leadership of the Crystalnix also provide help in measuring the effect of
big data examination. It helps to break down a calculated method in the improvement of choice
in the Crstalnix. The increase of the process of machine learning in the Crystalnix has been
useful for the Cystalnix with big data. It has also helped in enhancing basic structure of
leadership in the organization. The third factor is the power and this power associate’s choices
depicting shrewdness in the middle of activities.
2.3 Emerging technologies
Development due to innovation is nothing new to the global industry. A development’s
imperative is as similar as an existent advance’s dispersion. Utilization of emulation, purchase
and bringing of advancements by the organizations and economies are stated to support wages,
reduce costs and bring enhancement of administration and item quality. The new advances to the
world, economy and firms are the result of this quintessence of development. The way of
improvement is the obtained characterizing quality.

9
GLOBAL INFORMATION SYSTEM STRATEGY
The development and profitability of the firm are affected by the dimension of the firms.
Undoubtedly, the survival of multiple organization is dependent and gains importance on the
proceeding advancement (Garcia et al., 2016). According to the Oslo Manual’s estimation of
development, it states of four types of advancement. Overall, the participation, endurance and
success in a business industry involves many imaginative exercises for the organization.
According to Proof, it is said that the center of advancement and development is the tech
division. The significance can be observed in the profitability of labors where insights are
gathered over OECD. Here the ICT parts and the hardware have beaten other economy
efficiency growth, recorded around the world.
One of the key influences for advancement and development is Crystalinx. According to
a cross-country study at World Bank, it was calculated for about 10% increment on broadband
infiltration increases nation’s GDP to 1.3 percentage (Kitchin and McArdle 2016). Human
services, interchanges and interpersonal communication over long ranges are the examples of the
reception and application of latest administrations and items which support development in many
territories.
The notable pieces of this pattern are the information driven mechanical changes which
consists of ‘Internet of Things’ and ‘Enormous Data’. The marker of development of information
is the number of licenses for these innovations and are constantly developing.
2.4 Challenges and issues to the management of emerging technologies in IT
The size of Big Data is massive and keeps on refreshing and changing at a quick
succession, thus, makes the information hard to decode easily. The potential of knowledge about
administrations and clients and other perspectives are offered incomparably by the Big data The

10
GLOBAL INFORMATION SYSTEM STRATEGY
software has the capability to provide firms their desired position in the market. Big data can also
produce benefit to all the parts.
According to Günther et al. (2017), information can be investigated while prompting
generation forms, customized suggestions, direct publicizing, enhancement of administration and
basic leadership. Solid, ground breaking methods for security access, utilization and
accumulation of the information are needed to be opted by the Government.
DDI research provides the catch of pith to Big data. DDI is said to be “the subsequence
and advancement of social and financial esteem to emerge information’s utilization by open and
private area association for settlement on wiser choices and creation of new administration and
items”. According to Sookhak et al. (2017), the paper evaluates in the year of 2014, the lower
cost by $1.3b and high-income profit by $1.1b while decreasing expenses and incrementing
activities were appreciated by the buyers of New Zealand and was duly for the information
driven development. Additional profit of $4.5b was calculated for the customers, government
and the organizations if the DDI’s higher take-up was induced by the government and the
business.
Part 3 Big Data
3.1 Background
The first introduction of Big Data was observed back in the first decade of 21st century.
Examples of companies using Big Data includes Google, EBay, Facebook, LinkedIn and more.
‘Big Data’ is referenced to the quantity of data and analytical tools that are required to analyze
specifically. Moreover, the increase of volume of data sources has directly proportionated to the

11
GLOBAL INFORMATION SYSTEM STRATEGY
increase of internet and IT services. The increase of data sources increases the amount of data,
simultaneously. These massive amounts of known data are known as Big Data.
Big Data’s development has provided many opportunities to an organization. It handles
massive data and information volumes. The enhancement of effectiveness with respect to the
utilization of information is among one of the significances of Big Data (Thorstad and Wolff
2018).
Big Data is utilized in these ways:
• Innovation of data and information for enhancement of recent logs security.
• Proper services to the sustainers in the industry, thus being profitable to them.
• Enrichment of management through customer’s online data’s acknowledgment.
• Recognizes online transfer market’s extortion.
• In monetary market, it appraises attacks by the dissection of data through exchanges.
3.2 Recommendation for the use of Big Data
With the use of big data in the organization the opportunities related to the organization
will get developed. In the organization Crystalnix, the reason behind big data is that it will
ensure proper growth of the business. This will help in increasing the level of the business and
will attract more customer. However, it is observed that the organization does not have any
proper strategy that will help in the development of the big data analytics in the Crystalnix. Thus,
it is suggested that development of big data analytics will help in developing a proper
relationship between the customer and the organization. With the use of big data analytics, the
organization will be able to focus on customer-centric outcomes in the market. However, it
becomes important for the organization Crystalnix to focus entirely on the services provided to

12
GLOBAL INFORMATION SYSTEM STRATEGY
the customers. This will help in enhancing the services provided to the customers and the clients
that are associated with the organization. This will help the organization to overcome the
problem related to the relationship that is maintained between customer and the market (Sun et
al. 2016). Apart from this the organization also failed to provide proper analysis towards the
concern raised by the customer and never bothered to evaluate their feedback. This was one of
the reasons behind the failure of maintaining proper relationship between the customer and
organization. Thus, it is suggested that implementing this strategy will help in developing a
string relationship with the customers.
It is observed that different sources are reporting the same concern related to the
management of information within the organization Crystalnix. The organization has gained
huge benefit with the use of big data analytics. This has offered the creation of blueprint within
the organization (Yin and Kaynak 2015). Organization should focus on analysis of information
and data associated with the organization. The company should also focus on improving the
growth of the approach so that they can help in proper maintenance of the organization.
Crystalnix needs to start with existing database that is present within the database. It helps in
examining the situation of real-world results that are obtained from customers.
Big data analytics are used for the purpose of providing feedback so that the customer
base can be developed properly without any error. Apart from this the organization needs to
focus on the financial services that are offered and needs proper promotional activities. Thus, it
is important to ensure that proper customer view is being gathered before declaring any results
(Hilbert 2016). Big data analytics helps in collecting the data and information after reviewing
the market conditions. The organization needs to maintain a proper database regarding the
customer information. Proper customer interaction needs to investigate the proper business

13
GLOBAL INFORMATION SYSTEM STRATEGY
expansion. Moreover, from years the organization is looking for expanding the business so that it
can develop a proper approach towards the market (Huda et al. 2018). Big data analytics helps in
developing a better and strong base for their customer with the use of internet. Social media
marketing has helped in gaining huge importance in the market and also allows the organization
to provide efficient services. The organization has also increased the number of incoming data
that is maintained within the company’s database. Thus, with the use of big data analytics proper
management of the data can be done. This will help in effective working of the organization.
This will help in decreasing the marketing cost of the organization and will help in earning huge
profit. Big data analytics has helped in developing the industry into online marketing (Wang et
al. 2016). Big data analytics helps in providing proper security towards the data stored and will
help in maintaining proper data sheet for this. Big data analytics helps in enhancing the business
intelligence system within the company and ensures proper growth towards the organization.
Several number of implementation strategies involves risks that are need to be mitigated
at the organizational level. The main risk related to the big data analytics is that the datasets
stored within the system remains unorganized. The system has started receiving data from
number of resources. This data is in the form of structured and unstructured data. However, it is
observed that this becomes difficult to organize the unstructured data. Moreover, the big data
analytics entirely focuses on structured data and leave the unstructured data. Thus, it becomes
important to ensure that the unstructured data are manually removed from the database so that it
does not occupies extra space. Apart from this one of the major risks is regarding the storage and
data retention within the database (Hashem et al. 2016). Due to excessive number of data at the
input time, storage becomes a major concern. This became very difficult to control the situation
for the organization Crystalnix regarding the storage issue. The third risk that is faced within the

14
GLOBAL INFORMATION SYSTEM STRATEGY
organization is related to the privacy of data. This becomes very difficult to check huge number
of data together. This lead to data breaches within the organization as the cyber attackers found it
easy to enter the organization with the help of data trafficking.
Apart from all the benefits and recommendation it becomes important for the
organization to determine the impact of big data on the industry. The most important factor that
determines the working is related to the quality investment that is made towards the business.
The major performance indicators include determining the profit rate, customer service and cost.
Thus, it is the responsibility of the manufacturer planner to develop a better decision plan that
helps in analyzing the cost related to inventory and the efforts that are needed to be made. In
addition to this the company needs to ensure proper management of the human resources within
the organization (Li et al. 2015). Apart from this the second factor that helps in measuring the
impact of big data analytics is that they provide better speed. With the speed in decision making
the system will help in measuring the impact of analytics within the organization Crystalnix.
This will help the organization in determining the approaches that helps in optimizing the
decision making within the Crystalnix. Apart from these the big data analytics has helped in
enhancing the decision-making system within the organization and allows to provide proper
service towards the customers. Robustness is another factor that effects the decision-making
process (Richtárik and Takáč 2016). Apart from the external attacks there are several types of
digital attacks that can limit the upgrading security conventions of the organization. In order to
ensure proper safety towards the organizations system Firewalls and antiviruses can be
implemented so that the database can be kept intact without any interference. This will help in
destructing the destructive infections that has the capability to affect the information system.

15
GLOBAL INFORMATION SYSTEM STRATEGY
This firewall will protect the system and database that are within the organization Crystalnix
(Vayena et al. 2015).
Part 4
4.1 Conclusion and Recommendations
From the above report it can be stated that with the implementation of big data analytics
in an organization great benefits can be achieved. With the use of big data different opportunities
are being generated every day. Thus, this will help the organization to overcome the existing
challenges and will be able to move to high level. The organization will be benefited with the
huge information and will help the organization in reaching to a next dimension level. Crystalnix
needs to be address proper investigation on big data so that they can be accessed by the
organization at any time. Apart from these it becomes important to analyses the big data so that
they can be used properly for the purpose of associations. The organization is having main
concern with building proper relationship with the clients. Clients are the main factors that are
needed to be taken care of properly. The organization failed to evaluate the large number of data
that got generated by their clients and customers. This became one of the main reasons behind
adapting towards the big data.
It is observed that different types of information and data are approaching towards the
organization Crystalnix. Thus, the pressure over the organization becomes important as the need
to handle the situation became urgent. The organization lacked huge data execution that are
needed to be performed properly. The main objective of the organization is to know about the
desires of clients in the market and offering them proper services. It is important for the

16
GLOBAL INFORMATION SYSTEM STRATEGY
organization Crystalnix to start with existing information that are maintained within the
organization’s database.
Recommendation
Securing computational Code
In order to protect the system of the organization from malicious information it becomes
important to ensure that the proper examination is done for the computational code. This will
prevent the malicious codes from entering the system and will alarm the system about the effect
it will create. For avoiding this type of conditions, it is essential to use proper techniques that
will help in controlling the effect of untrusted codes on system and on vital information. This
will restrict the malicious code from getting into big data set. Primarily there are two types of
anticipating attacks, this are anchoring the activity of mapper and hosting the information at a
certain level where the mapper can access it.
Implementing proper Input Validation along with Filtration
In order to filter the services provided by the system it becomes important to separate the
execution process from the outer and inner functions. Apart from this the legitimate key
assessment becomes important for separating the highlights associated with the particular big
data big data arrangement. This needs proper analysis of the requirements along with the need of
proper arrangement of big data within the system of the organization. This will be completed
with the use information set at the time of calculations.
Implementing Granular Access Control
Apart from all the aspects it is important to have proper survey that will help in
understanding the client’s big data analytics. It is important to ensure that proper control is

17
GLOBAL INFORMATION SYSTEM STRATEGY
gained over the system. In order to proceed with the information calculation, it is important to
conduct proper enquiries. This part of the report aims at suggesting the need of keeping proper
information so that proper approach towards the information system can be maintained.
Providing security towards the data stored
It is important to ensure that the data stored within the system are maintained with high
confidentiality and integrity. Thus, it is important to isolate the delicate and sophisticated
information from other details. In order to provide proper safety towards the data it is important
to encrypt the data within the system. After encryption the system needs to ensure proper
legitimate design for the API security that will help in advancing the security towards the
information stockpiling and calculation.
Reviewing the implemented Privacy Preserving Data Mining and Analytics
It is important to conserve the delicate data and information so that proper mining can be
done along with the acknowledgement. This will reduce the chances of revealing the sensitive
data and will ensure proper safety towards the stored details. It is important to develop a set of
rules that will help in proposing the avoidance accidental security breaches.

18
GLOBAL INFORMATION SYSTEM STRATEGY
References
Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big data research in information systems: Toward
an inclusive research agenda. Journal of the Association for Information Systems, 17(2).
Andreu-Perez, J., Poon, C.C., Merrifield, R.D., Wong, S.T. and Yang, G.Z., 2015. Big data for
health. IEEE J Biomed Health Inform, 19(4), pp.1193-1208.
Assunção, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A. and Buyya, R., 2015. Big Data
computing and clouds: Trends and future directions. Journal of Parallel and Distributed
Computing, 79, pp.3-15.
Barkham, R., Bokhari, S. and Saiz, A., 2018. Urban Big Data: City Management and Real Estate
Markets. GovLab Digest: New York, NY, USA.
Bello-Orgaz, G., Jung, J.J. and Camacho, D., 2016. Social big data: Recent achievements and
new challenges. Information Fusion, 28, pp.45-59.
De Mauro, A., Greco, M. and Grimaldi, M., 2016. A formal definition of Big Data based on its
essential features. Library Review, 65(3), pp.122-135.
García, S., Ramírez-Gallego, S., Luengo, J., Benítez, J.M. and Herrera, F., 2016. Big data
preprocessing: methods and prospects. Big Data Analytics, 1(1), p.9.
Günther, W.A., Mehrizi, M.H.R., Huysman, M. and Feldberg, F., 2017. Debating big data: A
literature review on realizing value from big data. The Journal of Strategic Information
Systems, 26(3), pp.191-209.

19
GLOBAL INFORMATION SYSTEM STRATEGY
Hashem, I.A.T., Chang, V., Anuar, N.B., Adewole, K., Yaqoob, I., Gani, A., Ahmed, E. and
Chiroma, H., 2016. The role of big data in smart city. International Journal of Information
Management, 36(5), pp.748-758.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015. The rise
of “big data” on cloud computing: Review and open research issues. Information systems, 47,
pp.98-115.
Hilbert, M., 2016. Big data for development: A review of promises and challenges. Development
Policy Review, 34(1), pp.135-174.
Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K. and Muhamad, N.,
2018. Big data emerging technology: insights into innovative environment for online learning
resources. International Journal of Emerging Technologies in Learning (iJET), 13(1), pp.23-36.
Karau, H., Konwinski, A., Wendell, P. and Zaharia, M., 2015. Learning spark: lightning-fast big
data analysis. " O'Reilly Media, Inc.".
Kitchin, R. and McArdle, G., 2016. What makes Big Data, Big Data? Exploring the ontological
characteristics of 26 datasets. Big Data & Society, 3(1), p.2053951716631130.
Li, J., Tao, F., Cheng, Y. and Zhao, L., 2015. Big data in product lifecycle management. The
International Journal of Advanced Manufacturing Technology, 81(1-4), pp.667-684.
Lv, Y., Duan, Y., Kang, W., Li, Z. and Wang, F.Y., 2015. Traffic flow prediction with big data:
A deep learning approach. IEEE Trans. Intelligent Transportation Systems, 16(2), pp.865-873.
Reed, D.A. and Dongarra, J., 2015. Exascale computing and big data. Communications of the
ACM, 58(7), pp.56-68.

20
GLOBAL INFORMATION SYSTEM STRATEGY
Richtárik, P. and Takáč, M., 2016. Distributed coordinate descent method for learning with big
data. The Journal of Machine Learning Research, 17(1), pp.2657-2681.
Sookhak, M., Gani, A., Khan, M.K. and Buyya, R., 2017. Dynamic remote data auditing for
securing big data storage in cloud computing. Information Sciences, 380, pp.101-116.
Sun, Y., Song, H., Jara, A.J. and Bie, R., 2016. Internet of things and big data analytics for smart
and connected communities. IEEE access, 4, pp.766-773.
Thorstad, R. and Wolff, P., 2018. A big data analysis of the relationship between future thinking
and decision-making. Proceedings of the National Academy of Sciences, 115(8), pp.E1740-
E1748.
Vayena, E., Salathé, M., Madoff, L.C. and Brownstein, J.S., 2015. Ethical challenges of big data
in public health. PLoS computational biology, 11(2), p.e1003904.
Wang, J., Liu, W., Kumar, S. and Chang, S.F., 2016. Learning to hash for indexing big data—a
survey. Proceedings of the IEEE, 104(1), pp.34-57.
Yin, S. and Kaynak, O., 2015. Big data for modern industry: challenges and trends [point of
view]. Proceedings of the IEEE, 103(2), pp.143-146.
Zhang, Y., Qiu, M., Tsai, C.W., Hassan, M.M. and Alamri, A., 2017. Health-CPS: Healthcare
cyber-physical system assisted by cloud and big data. IEEE Systems Journal, 11(1), pp.88-95.