This report focuses on the strategy that is used for managing the global information and that are shared along with the CIO of the organization. It also discusses the major limitations of big data and proposes a recommendation for implementing the big data within the organization Crystalnix.
Contribute Materials
Your contribution can guide someone’s learning journey. Share your
documents today.
Running head: GLOBAL INFORMATION SYSTEM STRATEGY Global Information System Strategy (Assignment 2) Name of the Student Name of the University
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
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 Infrastructure5 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 regardingtechnologyservicesandtelecommunicationservicesthatareofferedbythe 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.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
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 andupgradingtheframeworksandstructuresoftheknowledgeofbusinesswithinthe 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
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
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 toGünther et al. (2017), information can be investigated while prompting generation forms, customized suggestions, direct publicizing, enhancement of administration and basicleadership.Solid,groundbreakingmethodsforsecurityaccess,utilizationand 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 toSookhak 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 21stcentury. 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
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
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 analyticswill help in developinga 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
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
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. Apartfromallthebenefitsandrecommendationitbecomesimportantforthe 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 ensurepropersafetytowardstheorganizationssystemFirewallsandantivirusescanbe 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 organizationCrystalnixtostartwithexistinginformationthataremaintainedwithinthe 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
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
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 computingand clouds:Trendsand futuredirections.Journal of Paralleland 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 literaturereviewonrealizingvaluefrombigdata.TheJournalofStrategicInformation 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.
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
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.