Assessing the Societal Impact of Big Data and IT in the UK

This assignment presents a research project investigating the impact of Big Data and Information Technology on UK society. The research outlines the aim to examine this impact, with specific objectives focusing on understanding Big Data concepts, identifying analysis tools, assessing the relationship between Big Data, IT tools, and society, and recommending improvements. The research process includes an exploratory approach utilizing both quantitative and qualitative data, employing a random sampling method and adhering to a postpositivist philosophy. The study addresses key issues such as study area selection, data collection tool selection, and source relevance. The project explores data types, the use of primary and secondary data sources, and evaluates the credibility and usefulness of various academic sources like journals, research reports, and books. The analysis and interpretation section discusses the ranking of resources, data collection methods, and the importance of academic data for understanding societal impacts. The assignment also covers the use of data and information security systems, highlighting the benefits for decision-making and performance measurement within the UK society, along with data quality techniques and error reduction strategies.

INTRODUCING
RESEARCH SKILLS

Table of Contents
TASK ONE......................................................................................................................................3
Task-1..........................................................................................................................................3
Task-2..........................................................................................................................................4
Task-3..........................................................................................................................................6
Task-4..........................................................................................................................................7
REFERENCES................................................................................................................................9

TASK ONE
Task-1
Research Introduction- The research is being carried out on the topic the impact of Big data
analysis and IT on the society. With this regard a proper structure or process of research was
followed on the study area in order to bring irrefutable conclusion. The main aim of this research
to enhance own capability to analyse the impacts brought by big data and IT to the society since
in last couple of years these things are being used to the higher extent, pertaining to this, it
becomes essential to carry out an intensive study to rip off the salient facts (Oster, et al. 2020)
Topic-
“To investigate the impact of Big data and Information Technology in the UK society: A study
on UK society.
Aim-
To examine the impact of Big data and Information Technology in the UK society.
Research Objectives-
 To understand the concept of Big data analysis.
 To identify different Big data analysis tools and Information technological tools.
 To assess the relationship between Big data, IT tools and society.
 To recommend the best ways to improve the quality and life study of the society by using
these big data and IT tools efficiently.
Research process-
The research process has worked efficiently since before conducting the research all the
areas such as aim, objectives, study area, population, sample, sampling methods, data collection,
data evaluation, interpretation, ethical formalities were ensured which made this research project
quite handy and helpful. In this research process all the stages were efficiently performed and
while proceeding no discrepancy should take place so with this respect a roadmap was also
fabricated.
Summary of the problem-
The undertaken research was intended to work on the notion that how the big data
analysis is being used by the organization and how it is brining sort of ability to perform on
higher level. This research has undertaken the problem where the usefulness of big data analytics
was deciphered.

Background of the study-
the study was aimed to understand the concept of big data analysis. With the progress of time the
organizations are more likely to abide with new technology. They are imparting such notions
which may make them thrive. Big data analysis is one of such tool. The research study is based
on the tool and its use.
Research methodology-
particulars
Research type It has been an exploratory research.
Data type Both quantitative and qualitative data was used.
Sampling The random method has been used.
Research
philosophy
Postpositvism philosophy has been used.
Ethical
consideration
In this research the all ethical norms was followed.
Key issues in the research-
These are the main three issues faced while conducting the research to ace the aim of
analysing impact of big data analysis and Information Technology on the society.
1. The very first issue was selection of study area since the impact of big data and IT was to
be evaluated so with this regard the problem has been faced. The study area is intensively
widened and there may be issue of picking right sources to enhance the quality of
research.
2. The data collection tools selection has been another issue. Since the research was
covering a wider area and with this regard, collecting data is not an easy task. There were
tow ways and the selection has been a tough nut to crack.
3. One of the toughest task was to ensure that the taken sources are relevant and having
great capability to fulfil requirements of this research. There have been some sources
such as books, journals, reports, and research reports etc. But which one is the most
relevant has placed a great challenge.
Types of Data-

Data is generally a constellation of facts which is used for certain purpose at the same
time information may put both facts and some non-factual set of ideas which are having their
usefulness. On the other hands, knowledge is the insight which is generated or reflected form
may be both data or information.
The research proposal was made to propose my idea about certain research domain.
Where I have used this understanding, demonstrating my side in clearer way, which enhanced
the value proposition of the research (Huang, 2021)
I found that big data choice was so natural for me since in the prevailing market
circumstances ones can not keep itself away form it. The big data is being used in almost all the
realms and affecting the societal norms to greater extend. If talk about pros then it would be
helpful to assess the impact of such technological advancements on the society. There are some
cons too, such as difficult to assess, requirement of bigger resources and time etc.
Task-2
Collecting Data & Evaluating Sources-
Collecting Data-
To my point of view Primary sources of data are the sources where the data is collected
by researcher very first time and there is the data always remain unused by any other party. This
data is new, and perpetual, collected as per needs of the research. On the other hands, the
secondary data sources are the sources where the data is already collected.
In my project both primary and secondary data has been used since for conducing
research on such vague project there is always need to have wide range of data so before
reaching to the final outcomes can ensure proper alignment and can enshrine all relevant
requirements. With this regard, both data has been used. I have paid severe attention to rip off the
field where I was going to conduct research since big data analysis and IT are some difficult
notions for the society.
So, keeping the above shared logic in mind it becomes essential to take a good data
sources into consideration so can execute the research in more affective manner. I also observed
that in the society people are hugely affected by these tools and innovations. The data has to be
collected as discussed above form Secondary sources (Grueneberg and de Los Campos, 2019) I
believe that the primary data can be collected by carrying out survey method but there is need of

investing too many resources so At the same time for secondary data some key publications such
as Journals, Books, Online resources, Published piece of documents by government can be used.
Academic sources-
Source types source Ranking
Journal Big data supply chain analytics.
(Ogbuke, et al. 2022)
4
Research report Technology in society. (Szymkowiak,
et al. 2021)
2
Book New Information Technology in
Education (Hawkridge, 2022)
3
Report Algorithms, Big data and Merger
Control (Egerton-Doyle and Ford,
2022)
1
It is found that for analysing the research area and making deeper understanding there is
great need to take these all sources into consideration. The research is striving to scrutinize the
impact of big data and Information Technology on the society so with this regard, these sources
would be rigorously prominent.
These all sources are taken after deeper scrutiny and their background, authenticity,
integrity and alignment with the research project have been analysed, so they are highly credible.
These sources are ranked too on the basis of their credibility and usefulness. Since the all sources
are highly useful yet having some speciality so on that basis the ranks are allotted.
Task-3
Analysis and interpretation
The revise rank list of the resources data is which used in the big data and information
technology analysis. The big data is collected with the helps of secondary sources that includes
the journal, book, report and research report. I also carry the survey methods for the big data

analysis and information technology and invest many key publication which can be used by the
governments, the academic resources ranked as report are ranked as 1 because the big data and
information technology data collection are used for the sources such as algorithms, merger
control and big data. The boos source type has been ranked as 3, the research report has been
ranked as 2 and the journal as the sources type is ranked as 4 for the sources big data supply
chain analytics.
The one use of data from this all resources are academic resource data because it helps in
gather and collect the more information regarding the big data and information technology in the
United Kingdom society. The academic data are referred as the process of analyse and evaluate
the data received from the society for the decision-making and reporting reason. The academic
data helps in gather the information related the United Kingdom society which are used to gather
data and information that is interpreted and analysed the big data and information technology
analysis.
This data is analysis with the helps of analysis an interpretation about the secondary data
sources with the helps of book, journal, research reporting and academic research in the last
week. The data analysis is the complex and challenging process for the big data and IT that how
many used the IT in their life and how its is important for the business and society (Liu and Xu,
2018). The data are gather form the academic resources and books in the library to know about
the big data and information technology important in the society of United Kingdom. The
secondary data resources helps in gather the good data resources in the research in the effective
manner and also its is beneficial for the scholar to analysis the data in the effective ways and
interpret the data with the big data analytics, ethics, application and privacy issues as well as
predict the direct and future operations and it helps in manage the challenges and uncertain
environments.
Task-4
Using data and information security systems
The big data and information technology are important in marketing the decision-making
and helps in identify the patterns this helps in provide the solution and also provide time to meet
the back up plan for the solution as well as it also helps in improve the situation which are most
important for making the decision for the United Kingdom society (McLaughlin and Gogan,

2018). There are various benefits which helps in make the decision-making as well as helps in
improve the decision-making in regarding of United Kingdom society. That helps in access the
product fit, craft the right story, identify patterns, collect customer's feedback, find new
opportunities, measure to manage better as well as helps in see the larger picture of the society
about the big data and information technology analysis.
The secondary data helps in monitor and measure the performance of the United
Kingdom society in the context of big data and information technology analysis. With the helps
of data of sociality regarding the big data and informational technology is used to analyse and
measure the data and information that how many people use the big data and technology, how
many people like the informational technology and also able to use the quality services of
information technology in the real life or not (Sauerwein, 2019). These measurements and
analysis helps in measure the performance and also can improve the big data and information
technology quality and services which can be used by every user. That helps in provide the
accuracy, correctness, uniqueness and consistency for the data quality systems.
There are various types of data techniques which can be used for measure the quality of
data such as data transformation error rate, email bounce rates, data storage costs and amount of
data dark and data time to value.
The two contrast techniques which are used for data quality measure.
Data transformation error rates: the big data and information technology data are must be
better quality so, the transformation errors techniques are used for reduce the errors and also
helps in sign the data quality problems which are faced by the scholar to analyse the data
(Jayasankar, Thirumal and Ponnurangam, 2021).
Amounts of dark data: the dark data are not so effective in the quality data because the data
quality are always problems so, the quality data are probably had so, the techniques are used to
reduce the problems in the data quality.
Information security systems
Because the data security the big data and information technology data was previously
compromised in the context of United Kingdom society. The hacking attacks are mostly comes
in the data quality so, the there was compromised in the data quality for the protected
information.

There are three process and concepts which can be used to protect the data and
information security with the helps of use strong passwords, install anti virus, and encryptions.
the strong passwords help in protect the data from the cyber attacks and also all this all three
process and concepts helps in built the data protection for the big data and informational
technology analysis.
Information security are most important for the data protection with the main components
such as availability. Integrity and confidentiality (Farooqi, Khattak and Imran, 2018). The data
collection are consisted the information of the data security which are most important for the
society to know about the quality use of big data and information technology. There are various
informational security such as cloud security, network security, internet of things security and
application security. The cloud security are used in the report because the research data must be
secured and stored related the big data and information technology. This helps in provide the safe
infrastructure and network to configure the issues and challenges which are arises.

REFERENCES
Egerton-Doyle, V. and Ford, J., 2022. Algorithms, Big Data, and Merger Control. In Algorithmic
Antitrust (pp. 87-106). Springer, Cham.
Farooqi, M.M., Khattak, H.A. and Imran, M., 2018, November. Data quality techniques in the
internet of things: Random forest regression. In 2018 14th International Conference on
Emerging Technologies (ICET) (pp. 1-4). IEEE.
Grueneberg, A. and de Los Campos, G., 2019. BGData-A suite of R packages for genomic
analysis with big data. G3: Genes, Genomes, Genetics,9(5), pp.1377-1383.
Hawkridge, D., 2022. New information technology in education. Taylor & Francis.
Huang, J. Y., 2021. Representativeness is not representative: addressing major inferential threats
in the UK Biobank and other big data repositories. Epidemiology, 32(2), pp.189-193.
Jayasankar, U., Thirumal, V. and Ponnurangam, D., 2021. A survey on data compression
techniques: From the perspective of data quality, coding schemes, data type and
applications. Journal of King Saud University-Computer and Information
Sciences. 33(2).pp.119-140.
Liu, L. and Xu, B., 2018, April. Research on information security technology based on
blockchain. In 2018 IEEE 3rd international conference on cloud computing and big data
analysis (ICCCBDA) (pp. 380-384). IEEE.
McLaughlin, M.D. and Gogan, J., 2018. Challenges and best practices in information security
management. MIS Quarterly Executive.17(3). p.12.
Ogbuke, N. J., et al. 2022. Big data supply chain analytics: ethical, privacy and security
challenges posed to business, industries and society. Production Planning &
Control, 33(2-3), pp.123-137.
Oster, J., et al. 2020. Identification of patients with atrial fibrillation: a big data exploratory
analysis of the UK Biobank. Physiological Measurement, 41(2), p.025001.
Sauerwein, C., and et.al., 2019. An analysis and classification of public information security data
sources used in research and practice. Computers & security. 82. pp.140-155.
Szymkowiak, A., et al. 2021. Information technology and Gen Z: The role of teachers, the
internet, and technology in the education of young people. Technology in Society, 65,
p.101565.
<https://www.tandfonline.com/doi/abs/10.1080/09537287.2020.1810764>
<https://www.sciencedirect.com/science/article/abs/pii/S0160791X21000403>
<https://books.google.co.in/books?
hl=en&lr=&id=3JRwEAAAQBAJ&oi=fnd&pg=PT7&dq=Information+technology+and+society&ots=ICCcoN
u4gp&sig=JqiLVJlY1mxJH4V7FSCZDFmOdcY&redir_esc=y#v=onepage&q=Information%20technology
%20and%20society&f=false>

<https://link.springer.com/chapter/10.1007/978-3-030-85859-9_4>