The Impact of Big Data on Society

This study delves into the implications of big data on both national and international levels. It highlights the potential for big data to transform society into a digital world, considering various aspects of customers. The assignment discusses the importance of data quality and assessment in the big data era, as well as its applications in software-defined networking.

Social Issues in Computing

Table of Contents
INTRODUCTION...........................................................................................................................3
Critical evaluation in identifying the impact of Big Data...........................................................3
Background.................................................................................................................................4
National and international implications of Big data in computer science...................................4
Implication of Big data for the society........................................................................................4
Implications for IT industry........................................................................................................4
Different perspectives on using Big data online.........................................................................4
Use of literature ..........................................................................................................................4
CONCLUSION................................................................................................................................4
REFERENCES................................................................................................................................7

ABSTRACT
Big Data is the concept that is one of the most popular technology which is entertained by
most of the people including big organisation and government agencies. We have discussed
about the tools and techniques which is used in implementing the Big Data technology easily
and understanding its consequences in storing huge data base over internet. This technology has
also increased many perspectives of supporting the data and its security so that it cannot be
accessed by an unauthorised users. Traditional establishments in Big data technology has
replaced with mist of the advanced characteristics of Big data such as volume, velocity, variety
that is associated with innovation and time data analytics. There are many big issues with the big
data in accessing the quality assessment methods. This research will throw some light on the
present state of quality issues related to Big data.

INTRODUCTION
Managing Big Data in computers help in provisioning of pertinent to the social
implications of the technology that help in understanding the highly dynamic interactions
between computers and society. The research will also concentrate in evaluating the social and
ethical development using the appropriate technique in implication of Big Data in industries. It
will also provide understanding about the development of information literacy using a
appropriate language.
Discussion and Differing perspectives of Big Data
Big Data in Computer science is one of the rapid growing ideas which help the people in
managing their huge data and information of the organization. Computational thinking have
already influenced various research agenda in order to analyze the massive amounts of data and
information quickly (Ghiringhelli and et.al., 2015). This has also begun to influence the
discipline and professions beyond computer science and engineering. Although computers are
used as tools that helps in spreading the appropriate awareness about the problems of the society.
Different types of environmental problems are related with the managing the Big data and its
implications because nowadays it is can be considered as the major need of companies and it also
helps in performing the work efficiently and this positively impacts on the growth and
sustainability of the organization. There are various impacts of computing issues that are
experienced in order to adopt the Big Data technology in enterprise: Improved communication: Emergence of Big Data in this modernized world have
increased the competition among the industries in order to provide better goods and
services proving superior with others. In the other hand, Earlier this was the major
concern that management of the huge database of the company can be considered as time
consuming activity and therefore this delays the working procedure of the enterprise.
Emergence of Big Data have increased the data retrieval and manipulating facilities
faster. As it has promoted the better communications within the working environment
that has resulted in improved productivity (Kong 2014 ). On the other hand Big data
helped people in storing the huge information with the use of Cloud computing which
have negatively impacted as it have increased the chances of data loses and data security
in this IT computing world.

 Better customer experience: This have improved the communication of the customers in
order to store their booking information etc. because, it is less cost effective technology
therefore large number of vendors are easily adopting such technology and this have
increased sale of the company and helps them to reach the stated organizational
objectives. On the other hand it have negatively impacted as people tries to gain access of
different web sites which is intentionally done in order to attempt fraudulent activities. Predicting trends and Tackle inventory: Various companies have improved their product
based on demand of secure transmission of huge amount of data (Cai and Zhu, 2015). in
the other hand, Its negative impacts includes reduced the human efforts and therefore
staff members focus towards the invitational concepts of producing the goods and
services which can attract the large number of customers.
 Huge Data processing: Big Data technology have transformed the way of storing and
processing the data and this have significantly impacted on the storage companies of the
world. It has improved the traditional method of replaced with this Big Data technology
which have provided the data processing facilities with the minimum cost. In the other
hand, huge data base at internet may be affected by fraudulent activities.
Background and introduction of Big data in computer science
Big Data brings various computing issues that impacts on wider community. It was
completely based on advancement of technology that had provides the better and easy access to
the consumer in order to store huge data and information in on internet (Schmarzo, 2013). This
concept is established to provide online data storing facilities to people and this confidential data
is saved in the virtual memory that can be easily retrieved whenever in use. This concept was
originated since 1990s which includes the large data sets in order to capture, manage and process
the data within the tolerable elapsed time.
National and international implications of Big data in computer science
Nowadays data are defining the feature of this technological world. Every day with this
increased computer science Big data technology allows the interaction of 2.5 trillion megabytes
of data with human and machines. This ensures the availability of data more prominently and
readily. This can be helpful effectively for the national security as it has largely relay on the

multiple data sources in order to produce Artificially intelligence report for the organisations.
National security relies more on Big data as expert often raise issues regarding the Big brother.
Moreover, advances in computing have derive the international trade that have increased
over 50% in past many years. Every company in the global supply chain needs to understand the
role of Big data in order to improve their logics which helps them in developing a model which
helps them to perform the logics in performing the business operations. Following are the
national and international implications of Big data such as:
Predictive analytics for forecasting demand
In order to forecast the national demand any product can be termed as the significant
challenge for every brands who sell their products in multiple regions (De Mauro, Greco and
Grimaldi, 2016). Big data is therefore simplifying the equation of international brands which can
be possible by using sophisticated predictive analytics model to predict changes in every market.
Open new doors for innovation
Globalisation has driven the competitiveness in unprecedented ways which have raising
the bar for higher quality solutions for the national and international business. Global brands
need to embrace Big data trends in order to become more innovative which helps the business in
finding the new solutions for the company (Big Data Analytics, 2018).
Big data is changing Global trade every year
When the international marketing research can be considered over the national market
then it helps resolving the social issues of computer science in order to expand the business
opportunities. Few ways of Big data analytics that that supports the national security decision-
making such as Anomaly detection, Association, Classification and clustering etc.
Implication of Big data for the society
The social implications of the Big data technology have been with us since the
introduction of technology in this world. For instance earlier tools and techniques were used to
kill the games (Yadav, 2017). On the other hand, national security agency which includes
Spying, hacking and all those security breaches that may imp-act upon the society up to the grate
extent. Social implications of Big data security may arrive from two different backgrounds where
automation and use of algorithm have replaced the efforts of humans. As the Big data already

supports the core intelligence functions so it have also reduced employment opportunities for
society.
Implications for IT industry
It can be considered as one of the important aspect of big data as it discovers the richer
and broader data set. There is a lot of scope in the It companies for the Banking and security
industries as Big data is itself a wider concept that stores the data and highly secured information
on cloud whereas this huge online data bank needs to be secured and protected agaist the
malpractices. So large number of IT industries are providing the services to people in order to
ensure the big organisations for their secured database online.
Different perspectives on using Big data online
Big database is the wider concept that help the society in providing the bigger scope and
opportunities in order to store their secured and private information online.The global economy
have undergone various changes over the last decades. Implications of Big Data in companies
helps them to deliver more cost effective solutions to meet the demands of the consumers (Krief,
2013). Furthermore, a different perspective can be the demands of the particular region are
consider in order to develop a new product and services then it will be called as the national
implication of Big data technology that help in attracting more local customers.
Use of literature
Big data can be referred as the big set that not only stores huge information but also
protects high variety and velocity based data which is earlier difficult to handle. Earlier
organisations uses paper or more human efforts in order to manage the large information of the
company which is time consuming and ineffective method. With the evolution of computers
companies decided to store the information on the system that helps them to efficiently feed the
data and retrieve the data. But instead of this data is stored in the computer memory which is
being lost various times. So this can be impacted on the business negatively for the longer time.
With the increasing technology and networking based world have finally provided the solution to
support the huge data base (Zhang and et.al., 2015). This is the more important aspect as this
concept is initially derived with the invention of cloud data storing facilities which have provided
easily data storing facilities over network.

Advantage and Disadvantage
Following are the Advantages of Big data which are as follows:
 It helps in deriving various innovative solutions which easily helps in identifying the
targeted customers.
 In big Data, data tools are not able to handle real-time analysis.
 This is the future of businesses which have larger opportunities that help the business in
expanding more.
 It carry unlimited information through one platform and this also helps in improving the
science and research.
Various disadvantages or drawbacks of using Big data technology are described below:
 Lot of data and information is unstructured.
 It cant be interpreted by traditional data process and model.
 This brings mandatory changes for small business even those who cannot afford it.
 In Big data Speedy updates can sometimes cannot give the actual figure which means it
cannot proved to be useful in short run.
Three most important strategies for big data
Various Big Data strategies includes the following:
1. Performance Management: This can be referred as understanding the meaning of
Databases in company using pre determined queries and automated transactions. It can be
implemented to measure performance of software. This will help in improving it by
making changes in it.
2. Data exploration: This approach helps in predicting the answers of those problems which
managers cannot identify that is based on the behaviour of the customer. It can be
implemented to segregate data. this will help in reducing in duplicity of data.
3. Social Analytics: It helps in measuring the vast amount of data base which is generally
non transactional data which is popularly exists in social media (Ford and Spicer, 2012).
This includes the conversations and reviews of customers on social networking sites such
as Facebook, twitter etc. it can be implemented to track data and analyse it. moreover, by
generating results it can be easy to find solution of problems.

Implementation of three strategies
These strategies of Big data can be implemented by creating a Big data policy ion an
organisations. Performance management can be implemented through integrating the Big data
strategies. This can be improved by leveraging both social analytics and business transactions
using transactional data etc. Such strategies may also be implemented through CRM and web
analytical tools . Various Big Data strategies are followed as:
 Data exploration: Implementation of this strategy in business helps to enhance the
performance of the organisation.
 Social analytics: This strategy helps in understanding ore concepts various concepts of
enterprises such as OLAP technology and BI.
 Decision Science: this provides the process for storing the data through crowdfunding.
Advantage and disadvantage of Big data
Companies need to Keep up with the policies and guidelines related to the use of Big
data. They need to consider various Social media policies and various certificate programs that
helps in adopting the Big data technologies in future trends.
Advantages and disadvantages of these Big data strategies are as follows:
Use of three most important big data strategies can help the organisation in sustaining its
company for the longer run in market (Cui, Yu and Yan, 2016). On the other hand its negative
drawback includes the social security of keeping this huge amount of data base which can prove
to be a major drawback for the company.
 Implementing such Big data technologies in business also helps in saving the cost and
energy of human resource in the company. If these big data software are not properly
tested then these programs may be a great disadvantage for the company and it can also
effect the performance management of the organisation.
SWOT analysis
Strengths
Big Data helps in research oriented in order to make an enquiry about the science,
medical history etc. Big data technology supports the industries all over the world. As earlier
huge investment cost was needed by the business to implement Big data but now this can be
readily available in the form of Cloud computing.

Weakness
Lack Of proper structure to store the data and there is a lack of technology that supports
complex logics. This is currently unpredictable and Hard to process.
Opportunities
Many businessman and customers are looking towards Big data service as a probable
opportunities in future. There are lot of opportunities for online retailers, storage companies,
software product companies.
Threats
There are lot of cyber security threats and one of the most common threats of the Big
Data is incorrect prediction due to the collection of Garbage in Social analytics.
Opportunities for big data
There are vast number of opportunities that are available in big data. businesses can use
for storing data in segregating way (Hilbert, 2016). this will be helpful in making things easier
for them. moreover, by doing complex processing in quickly real time solutions can be provided
to them.
Best goal for big data
Big data can be highly used in storing big data sets. The large MNC can use it to collect
large data and information of customers. they will not have to store separately. More systems can
be developed to process complex data.
CONCLUSION
From the above study it has been concluded that Big Data have provided great data
protecting capabilities to the people. This is done to completely transform the society into digital
world considering various aspects of customers. This study had provide the understanding about
impact of Big Data from the viewpoints of national and international world. It had also created
an complete understanding about the implications of big data on Society and It industry.

REFERENCES
Books and Journals
Cai, L. and Zhu, Y., 2015. The challenges of data quality and data quality assessment in the big
data era. Japan, Data Science Journal, 14
Cui, L., Yu, F.R. and Yan, Q., 2016. When big data meets software-defined networking: SDN
for big data and big data for SDN. New York, IEEE network, 30(1), pp.58-65.
De Mauro, A., Greco, M. and Grimaldi, M., 2016. A formal definition of Big Data based on its
essential features. Germany, Library Review. 65(3). pp.122-135.
Ford, M. and Spicer, C. 2012. Monitoring HIV Care in the United States. Washington, D.C.:
National Academies Press.
Ghiringhelli, L.M. and et.al., 2015. Big data of materials science: critical role of the descriptor.
New York, Physical review letters, 114(10), p.105503.
Hilbert, M., 2016. Big data for development: A review of promises and challenges.
London, Development Policy Review, 34(1), pp.135-174.
Kong C. 2014 . Advanced engineering and technology Hong Kong, . Boca Raton: CRC Press.
Krief, F. 2013. Communicating embedded systems. London: Wiley.
Schmarzo, B. 2013. Big Data. New York: Wiley-Blackwell.
Yadav, V. 2017. Processing big data with Azure HDInsight. New York: Apress.
Zhang, Z. and et.al., 2015, October. Scientific computing meets big data technology: An
astronomy use case. In Big Data (Big Data), 2015 China, IEEE International Conference
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Online
Big Data Analytics. 2018. [online]. Availbale
through:<https://link.springer.com/chapter/10.1007/978-3-319-08976-8_16>