Data Handling & Decision Making: Vaccination Analysis in UK & Germany

This essay focuses on data handling and decision-making, specifically analyzing vaccination data from the UK and Germany. It emphasizes the importance of reliable data collection from sources like 'Our World in Data' and maintaining data integrity for accurate conclusions. The essay discusses the data-driven process used to analyze vaccination rates, highlighting the steps in a big data infrastructure roadmap, from defining the problem to implementing data-driven solutions. It also addresses ethical considerations and compliance with regulations in data analytics. The analysis aims to understand past trends in vaccination and inform future strategies for managing health crises. Desklib offers a variety of study tools, including solved assignments and past papers, to support students in their academic endeavors.

Data Handling and Decision
Making

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
CONCLUSION................................................................................................................................3
REFERENCES................................................................................................................................4

PART 1
Task 1.1
The current project involves the analysis and investigation relating to number of people
fully vaccinated in UK and Germany a comparative analysis. In the present era the COVID is
again increasing and it is necessary to analyse the past trends relating to the pandemic. Hence, in
the present case the analysis of the number of people who are fully vaccinated or not will be
compared for Germany and UK. In order to analyse the impact of vaccination on the pandemic
and its effect it is necessary that the use of proper data analysis is being undertaken. Analysing
the past data will assist the researchers in analysing the past trend and with help of this can also
improve the future working. This is necessary as the different statistical tool will assist in
analysing the fact that how the situation was managed and is now increasing and again the
strategies need to be prepared for managing these elements and situation in proper and effective
manner. Hence, the use of past statistics can be undertaken for developing strategies for better
working and management of disease in future.
For the collection of secondary data, it is necessary that proper use of sources is being
undertaken to gather reliable and valid data. In case the data will not be good and effective and
related to the study then this will affect the result of data. Hence as a result of this, the data needs
to collected in proper and effective manner so that the proper research can be done and
objectives can be attained. In the present case the data is being collected from online source that
is ‘Our World in Data’. This is a scientific online publication which is focusing on collection of
data relating to all the global problems being faced by the world economy. In the present case
only the data relating to the vaccination that first dose and people fully vaccinated in UK and
Germany. In addition to this, there are different types of data set being available and through this
data can be gathered in proper and effective manner. For instance, ONS, Australian bureau of
Statistics and others.
The data integrity is being defined as the maintenance of the accuracy and consistency of
the data in proper and effective manner. The reason underlying this fact is that in case the data
will not be good and reliable then the proper conclusion cannot be drawn from the data. Hence,
for this, the most essential aspect is to collect the data from correct sauce and maintain the
integrity as well. the potential gap within the data analytics and data protection is that there are

many different websites which provides similar data and it need to be ensured that proper
website is being undertaken in order to improve the data collection.
Task 1.2
Data analytics is being defined as the science through which the raw data is used for
making some conclusions relating to the research topic. The data driven process is being defined
as the process through which the data is being used in order to reach to some conclusion. In the
present case of analysis of comparative study of fully vaccinated people of UK and Germany the
data current data driven process was used in order to streamline and enhance the decision
making. The reason pertaining to the fact is that in case the process will not be used in proper
manner then the conclusion might not be reached. All the collected data provides a detailed
insight relating to the research topic and this assist in deeper analysis of the topic and reach to
some conclusion.
The roadmap of big data infrastructure involves all the steps which includes the different
stages through which the conclusion can be met for the research. the roadmap starts with turning
the business need into case that is the problem is being generalised and then the next step
involves designing the big data architecture so that proper plan can be made in order to evaluate
and reach to the conclusion. Further next step involves the integrating of big data with existing
system so that proper research can be done and conclusion can be drawn. In addition to this, the
next step in the roadmap involves the working on data quality and this improves the working
efficiency of the data tools and techniques. In the end the roadmap involves turning the design
into code and the big data implementation is being completed. This is particularly because of the
reason that this result in effective creation of the data and attaining conclusion.
It is necessary for the effective success of the research that there must be compliance with
proper laws and regulation. This is particularly because of the reason that in case the data
compliance will not be proper then this will be impacting the working and attainment of the
objective. Hence, with respect to the compliance of data, in data analytics it is necessary to
comply with all ethical aspect like data must not be beyond 2017.
Task 1.3

REFERENCES
Books and Journals
Online
[Online]. Available through: <>