Comprehensive Business Analysis of Tesco: Sampling, Data, and MIS

This report provides a comprehensive business analysis of Tesco, focusing on the significance of sampling techniques and population in gauging colleague responses to a holiday pay scheme. It contrasts primary and secondary data, highlighting their advantages, disadvantages, and differences. The report includes statistical calculations based on Tesco’s financial performance and discusses the role of Management Information Systems (MIS) in business decision-making. The analysis covers survey methodologies, data collection methods, and the application of statistical tools for effective problem-solving within the organization, emphasizing the importance of data-driven strategies for Tesco's success in a competitive market. Desklib provides access to similar solved assignments for students.

BUSINESS ANALYSIS

Table of Contents
INTRODUCTION...........................................................................................................................3
Introduction to the selected organization – Tesco.......................................................................3
QUESTION 1..................................................................................................................................3
QUESTION 2..................................................................................................................................6
Primary data & Secondary data...................................................................................................6
QUESTION 3................................................................................................................................11
QUESTION 4................................................................................................................................13
CONCLUSION..............................................................................................................................16
REFERENCES..............................................................................................................................17
Books and Journals....................................................................................................................17

INTRODUCTION
This report is all about how and why business analysis is done. The reason for doing
business analysis commonly revolves around the identification of need to introduce change with
respect to the working of the organization along with how this change could be facilitated
effectively (Palepu and et.al., 2020). Therefore, business analysis always aims to determine the
solution through which maximum value could be delivered by an organization. In this report, the
discussion would be done with respect to four different questions. The first one will be the
explanation of significance of sampling techniques and population while gauging the possible
responses of fellow colleagues in introducing holiday pay scheme. In second question, the
contrasting & comparison would be done between secondary & primary data by stating its
advantages, disadvantages and difference among the two. Through the quantitative measures
showing Tesco’s financial performance, the statistical calculations would be done for analysis.
At last, the discussion pertaining to the role of MIS while making business decisions will be
done. Tesco would be the organization selected for this report.
Introduction to the selected organization – Tesco
Tesco is a leading multinational organization dealing in groceries products in England,
UK. It is also regarded as a general merchandise retailer with a ranking as third largest retailer
across the globe in terms of its gross revenues while the ranking of ninth largest across the globe
in terms of its net revenues. The company having more than 5000 retail outlets and 350000
employees as reported in 2021.
QUESTION 1
While conducting survey, information is gathered by asking questions from a group of
people to answer a particular research question. The responses resulting from survey initiated
through interview and questionnaire are then analyzed with the help of different statistical tools
and methods in order to determine effective solution to the problem facing the business. Survey
is usually suitable where the requirement of identification of opinions, preferences,
characteristics and beliefs involved from concerned target group (Rahman, and et.al., 2022).
For Tesco, survey would be a flexible method to be used for gauging their fellow
colleague’s responses with respect to the holiday pay scheme. For conducting a survey

successfully, researcher is required to go through with six steps to make sure that they have
accomplished their objective underpinning the research of what would be the reaction of fellow
colleagues with respect to the implementation of holiday pay scheme (Lee and Spratling, 2019).
These steps involve identification of potential survey participants, determination of the mode of
survey that is, online or offline, setting questions to be requested from the participants, getting
participant’s response either through questionnaire or interview, conducting analysis and
drawing results from the responses. All these steps must be followed consciously by Tesco in
order to effectively gauge their colleague’s responses prior to the implementation of changes in
policies related to work culture. This is because such policies & schemes like holiday pay
scheme pay great effect the employee’s productivity and accordingly, the overall organizational
performance gets affected.
Therefore, it must be kept in mind that for effective survey, enough focus should be given
with respect to the sampling technique and population.
Population
Population of the survey means that particular group of people about whom the
researcher wants to determine something or solve any of their issue or problem (Pedigo, 2020).
In other words, they are regarded as potential survey participants from whom the information
meant for addressing the stated research issue can be obtained. It must be kept in mind while
conducting a survey that population includes all those individuals about whom the surveyor is
going to draw some conclusion. As population involves a very large group of people, sampling is
done for selecting limited number of individuals who participate in the survey and give their
responses. This is because of the constraints related to time & budget which do not allow
surveyor to get responses from each and every individual who are part of the entire population.
Accordingly, the size of population is always larger than the size of sample. With respect to
Tesco, all the fellow colleagues would be regarded as the population of the survey as
implementation of holiday pay scheme would be going to affect all of them. In statistics,
population is defined as the pool of individual out of which the statistical sample is formed for
conducting research. Commonly, too many individuals are studied for drawing conclusions
reliably and conveniently.

Surveyor not always go for creating a sample out of the population and instead of that,
they also gather information from every individual forming the population. It is straightforward
to collect data from the whole group of people who are associated with the research issue when
the population is small, cooperative and easily accessible.
Determination of right population is very important in research, as in the absence of that
survey cannot be initiated. Further, the end results of the research are meant for the population
only because the aim of the researches always revolves around the demand, need or problem of
the population (Dhondt and et.al., 2021). It can be better explained through the case of Tesco,
where the management is going to conduct the survey for getting understood of what would be
the possible reaction of their fellow colleagues if the policy of stretched working day and
working hours would be implemented, where the population or colleagues would require to
commit more time towards the company. Through this survey, management will get responses
from their colleagues which in turn would aid in determining whether the underpinning objective
of the policy is possible to be attained or not.
Example of population with reference to the Tesco conducting survey on fellow
colleagues involves all the employees of Tesco for whom the holiday pay scheme will be
introduced. Other examples could be employees working in the financial sector, HR manager of
banks, etc.
Sampling techniques
It refers to such techniques through which the individuals from the population who are going to
become the sample of the research is determined. These techniques are adopted in the event
when the researcher found the size of population to be big and accordingly, there is need to form
a sample (Buntin, 2020). Therefore, several methods are available for forming sample
appropriately, so that results could be generalized in a better way which is possible only when
the sample is appropriately depicting the characteristics of the population. These techniques of
obtaining sample are categorized into two categories where there are subgroups as well, such as
the following:

Probability sampling: Samples are obtained on a random basis which assists in minimizing the
biasness risks and accordingly, the validity of the research outcome can be enhanced. The
following techniques are available under this group.
Simple random sampling: All units of the population have equal chance of getting included in the
sample. Tesco can assign numbers to all their fellow colleagues and then randomly elect
numbers to form a sample (Bhardwaj, 2019).
Systematic sampling: This technique also involves assignment of numbers to the units of
population, however, selection is done on the basis of criteria defined like choosing a number
after some intervals. For example, Tesco forming sample by electing those colleagues who are
given the number which is a multiple of 3.
Non-probability sampling: Non-random criteria is there for sample creation and accordingly,
population units do not have equal opportunity to get into the sample. This method is highly
convenient & cheaper to the researcher. The following techniques are relevant to this:
Convenience sampling: Accessibility to the population units is the core of this technique and
sample is created on this basis only. Like, management of Tesco can choose those colleagues
only who are immediately accessible to them or just after them in the organizational hierarchy
(Dhondt and et.al., 2021).
Purposive sampling: Here the sample creation is done on the basis of population’s characteristics
as required by objectives of the research. Management at Tesco can go for collecting the
responses of those employees only for whom the holiday pay scheme is available.
Sampling techniques are of great significance in surveys and researches because it makes
the task of data collection easier as well as efficient. It is required from the surveyor to apply
required level of skills and competency while forming sample, so that the results outcome could
be generalized to a larger population effectively.
Examples of sampling involves employees of Tesco who are selected by adopting any of
the sampling technique discussed above for collecting data or opinions from them. Other
examples of sampling involve choosing students for conducting survey out of the entire
university.

QUESTION 2
Primary data & Secondary data
Data includes both facts & statistics that are being collected by the researcher for
attaining or answering the research question. In case of business, data is helpful in making
decisions and resolving problems, so that business operations can be undertaken efficiently and
effectively because crucial aspects associated with the business are reported on the basis of data
only. To be successful in a contemporary competitive market, it is required from the
management to gather standard data depicting the trends and facts of the market while making
decisions for the business. In this way, a question arises pertaining to the type of data that would
be useful for the business (Bakashbayev and et.al., 2020). Therefore, data collected by businesses
like Tesco are majorly categorized into two that is, primary & secondary data.
The bifurcation of data is done based on the source of obtaining it. Accordingly, data
gathered by the researcher for the first time with the help of field research is referred to as a
primary data. This is also called by many as a first hand data. Several sources through which the
primary data can be obtained includes filling questionnaire from the research participants (i.e.,
customers, employees, etc.) through conducting survey or personal interview and undertaking
experiments & observations.
Alternatively, when data gathered previously by someone else are obtained by the
researcher from published sources to be used in their study, such type of data is known as the
second hand or secondary data. The data used may be gathered earlier for similar & even for a
different purpose and by using secondary data, researcher do not actively interact with the
research participants. Sources that provides secondary data involves internet, books, government
publications, websites, journals, etc.
In case of Tesco, which a leading supermarket of UK operating in a highly competitive
retail market of UK would necessarily be required to obtain their target audience’s responses
from time to time, so that the knowledge and idea of emerging trends along with changing tastes
or preferences can be developed (Kalu, Unachukwu and Ibiam, 2019). This is because of being
able to meet their final objective of enhancing profitability and brand image. Accordingly,
marketers of Tesco frequently interact with their target audiences by mailing questionnaire or
conducting their interviews personally when they are present in their stores to get necessary

insights of customer preferences & tastes emerging in the contemporary market. In this way,
primary data are always helpful in determining the current scenario or updated information
pertaining to the market.
Likewise, the secondary data is also very significant for the businesses where the
marketers by using it can determine several aspects of their target audience such as their
attitudes, buying behavior and preferences while making purchases at the retail outlets of Tesco.
Data that can be used by the marketers of Tesco could involve the sales & marketing records
maintained by the company, personal information of customers’ existing in their respective
accounts, quantity of product sold in earlier years, data related to product usage, etc. Such type of
data forms the basis of the marketing research. Secondary data also includes the marketing
research reports created previously or by close competitors in getting insights for resolving
related as well as the new problem that the business might be facing.
1. Differences in the primary data & secondary data
Basis Primary data Secondary data
Definition Information from the
participants are gathered by
the researcher for the first
time (Olabode, Olateju and
Bakare, 2019).
It involves such information
that is gathered by someone
else for the first time earlier
and is readily available to be
used in the study conducted
by the researcher.
Example Government collects primary
data through fieldwork while
obtaining data for the national
census.
Statistical information
collected through internet
such as health records,
electoral statistics, etc.
Nature of data Recent or updated
information can be obtained
when primary research is
conducted by the researcher.
This type of data depends
upon the accuracy and
reliability of the researcher
who have gathered data
previously and is not much
effective in meeting the

purpose of researcher (Scott
and Kline, 2019).
Nature of participation by
researcher
In case of primary data
collection, research took part
actively in the process of
collecting data to get the data
of required quality standard.
For examples, getting
responses of target audience
with respect to the
competitor’s products &
services involves researcher’s
direct interaction.
For getting done with the
secondary data, researchers
are not required to get
involved actively in the data
collection process because of
the data being available
readily. This makes the data
collection quick as well as
easier.
For example, the competitive
firm’s data can be gathered
through customer’s
comments and reviews posted
on the company’s websites
and several social networking
platforms which facilitates
quality information for the
management and accordingly,
no need of getting customer
responses realised at this
point.
Availability Primary data when gathered
are is always in the crude
form which needs further
simplification to make it
understandable for a layman
(Siddiqui, 2019).
Secondary data are always
available in a refined form
and accordingly, is available
in such a form that a layman
could develop useful insights
out of it.
For example, the market
reports made available by

Thomson Reuters on an
annual basis are regarded as
secondary data. These reports
are prepared by gathering
first-hand information which
is then simplified through
charts, graphs, etc. to make it
more understandable and
accordingly, facilitates better
decision making by
businesses.
2. Primary data & secondary data – The Advantages & Disadvantages
Primary data: When the researcher go for gathering data from its source for the first time, the
following advantages and disadvantages are there:
Advantages:
 For meeting the stated objectives of the research, the researcher is able to exercise control
over the quality & quantity of data during the process of data collection.
 Primary data is of greater accuracy as against secondary data which makes the data more
authentic because of the researcher having no scope for exercising personal biases
(Hasan, 2021).
 It is possible to get real time information by carrying out field work with the help of
interviews and surveys which in turn, facilitates for management to be updated with the
trends emerging in the market.
Disadvantages:
 Gathering data from the primary sources is sometime much difficult because of higher
commitment required in terms of money and time.
 Feasibility also gets reduced because of complexity in collecting primary data.

Secondary data: Second hand information which is previously collected by other researcher have
the following pros and cons to the researcher.
Advantages:
 Secondary data are published on number of platforms which makes it possible for the
researcher to easily access the same.
 The financial commitments are also very less in case of secondary data while sometime it
can also be obtained for free (Siddiqui, 2019).
 No need of spending large amount of time in collecting data because it is ready available
to be used for developing knowledge about the market or any other research issue.
Disadvantages:
 Accurate verification of secondary data is necessarily required from the researcher prior
to making decisions on the basis of it because authenticity & reliability of this data type is
highly questionable.
 Data exaggeration is possible because of the presence of personal biases of the researcher
during data collection.
 When a lot of irrelevant data is available over the published sources regarding the
research issue, then it definitely results in wastage of efforts as well as the time of
researcher finding needful information for their own research.
 Secondary sources many times also provides outdated information where researcher
could not get the required information in its updated form which leads to data losing its
validity to be used for subsequent researches.
Data can be identified as primary & secondary data on the basis of the source from which they
are obtained. Example of primary data could be the information that has been collected through
surveys, questionnaire, interviews, observations, experiments, etc. while the secondary data
could be the information gathered from books, articles, blogs, journals, websites, etc.

QUESTION 3
Turnover as a quantitative measure has been chosen with regards to Tesco for the past ten years
and the data pertaining to the same will be obtained from their published annual report, which
are as follows:
Year
Turn
over
(in
milli
on
GBP
)
2007 4264
1
2008 4729
8
2009 5389
8
2010 5691
0
2011 6045
5
2012 6453
9
2013 6482
6
2014 6355
7
2015 6228
4
2016 5443
3
2017 5591
7
2018 5749
1
2019 6391
1
2020 6476
0
2021 5788
7
2022 6134

4
N = 16
Total
=
9321
51
Statistical calculations
Mean formula = ∑X / n
∑X = Total turnover for the past ten years with reference to Tesco = 606410
N = 10
Mean = 932151 / 16 = 58259.44
Mode = It refers to the value repeating for maximum number of times in a given series of data.
With regards to the data related to the turnover of Tesco for the past ten years, there is no single
value which is appearing for more than once in the series and accordingly, no mode exists for
this particular data set.
Standard deviation
Formula, σ =
Year Turnove
r (X)
X-
Mean
(X-
Mean)2
2007 42641 -15618 24393559
0
2008 47298 -10961 12015311
2
2009 53898 -
4361.4
19022137
2010 56910 -
1349.4
1820981.
6
2011 60455 2195.5
6
4820494.
7
2012 64539 6279.5
6
39432905
2013 64826 6566.5 43119743

6
2014 63557 5297.5
6
28064168
2015 62284 4024.5
6
16197103
2016 54433 -
3826.4
14641624
2017 55917 -
2342.4
5487013.
4
2018 57491 -
768.44
590496.1
9
2019 63911 5651.5
6
31940159
2020 64760 6500.5
6
42257313
2021 57887 -
372.44
138709.6
9
2022 61344 3084.5
6
9514525.
8
Mean 58259.4 62113607
6
σ = √ 621136076 / 16 = √ 38,821,004.75 = 6230.65
Verification of the above calculation with respect to the results obtained using excel
Turnover (Y)
Mean 58259.44
Mode #N/A
Standard
Deviation
6230.65
QUESTION 4
Management Information System (MIS) is one of the most commonly preferred system of
managing information used by contemporary businesses which facilitates decision making
activities to be carried out in an effective manner through establishing coordination and control
over the business information along with providing tools for the analysis and visualization of the

final outcome (Jayakrishnan, Mohamad and Yusof, 2020). Through MIS, several parameters can
be studied at a time along with determining the relationship existing among them such study of
people, organization and technology. When businesses effectively implement the MIS within its
processes, it leads to realization of greater benefits by businesses because MIS equipped
managerial personnel with useful insights of the business as well as the market which in turn,
improvises their decision making activities. Accordingly, management at Tesco could get
necessary information while discharging their duties such as planning, controlling, decision
making, etc. The relationship that exists between the decision making processes and information
system is of great concern in the contemporary business world. This is because the information
systems always aimed at assisting decision makers through the provision of updated and accurate
information, so that right decisions can be made in the turbulent business environment.
Through MIS, integrated solution can be obtained with the combination of hardware,
software and several other network products making it possible for the management to get
suitable data for the purpose of reporting, analysis, monitoring as well as decision making. With
regards to the management of Tesco, MIS is a very useful tool while collecting data related to its
target audience along with storing the same in the database that could be made available to the
management over a secured network (Rumisha and et.al., 2020). In this way, several reasons
have been identified till date with respect to the importance of MIS in decision making processes
because of which it is regarded that the management have taken sound decisions, such as the
following:
Information to be accessible quickly: There are several issues revolves around the business like
Tesco with regards to the perspectives like financial, operational, marketing and strategic which
makes it necessary for the management to get the information quickly, so that the underpinning
issue could be resolved as early as possible. At this point, MIS facilitates simplified and speedy
process for the information retrieval by providing access to the information stored at the central
location through a network. This way, management are able to make sound decisions quickly.
For example, MIS can be used in businesses to capture customer related data to design their
offers accordingly.
Provides updated information: MIS is very useful in bringing information together from
outside and inside of the organization. This is possible through a network set up which

establishes a link between retail outlets, distributors, supply chain & the central database
(Kebede, Adeba and Chego, 2020). Accordingly, management obtains data related to sales &
production anytime they require it and therefore, sound decision making is possible with the
availability of real time information. For instance, MIS by providing updated information assists
in establishing inventory control system effectively.
Determination of cause & effect relationship by running scenarios: Technological
advancement has led to changes in all the sectors of society where information is no exception.
Accordingly, MIS nowadays is facilitating management to run scenarios which helps modern
management in determining the effect of taking certain. Further, what if analysis provides useful
insights of how variations taking place in variables because of certain decisions made. For
example, management usually make changes in its marketing budget and simultaneously take a
look at how overall costs, revenues and profits are changing.
Efficient result interpretation: Decision makers are able to make out the implications resulting
from the decisions made by them with the help of MIS. This is possible through raw data being
gathered in a report format which in turn, facilitates the identification of patterns & trends to the
management while making decisions for the business (Huang, Huang and Chu, 2019). Further,
managers are able to identify the potential effects that have taken with the introduction of change
by interpreting the report showing raw data. For instance, by running simulation through MIS,
sales manager attempts to determine how price change has affected the overall sales of the
company.
Collaboration among teams: Decisions making in the event of involvement of both groups as
well as individuals becomes easier with the use of MIS because of this tool being effective in
establishing collaboration among team members. For example, MIS promotes collaboration
among sales team of Tesco who are operating through different locations by facilitating the
access to similar information to all which is mandatory for the performance of their jobs in
effective manner. In this way, sound decision making is possible from sales managers at different
region.
Projections with regards to the upcoming business situations: There are many feature built in
within the MIS which is useful for the prediction of business results for the future in connections
with the profitability and possibility of generating sales revenues. For example, MIS is widely

used by modern management to determine what would be the possible demand in the upcoming
period under consideration by taking into account seasonal variations and conducting trend
analysis. On the basis of whatever results are predicted for the future of the concerned business
like Tesco, pricing decisions are made by the management to make sure that the business will
attain the desired outcome as predicted with the help of MIS (Daghouri, Mansouri and Qbadou,
2018).
Even though that the MIS have many advantages because of which it is considered as one
of the significant part of decision making process, MIS do have certain shortcomings also which
are as follows:
 As information contained in the MIS is accessible to different parties associated with the
business which usually results in risk of losing sensitive business information to the
fraudsters and hackers who could provide the same to the competitive firms and thus,
may results in harms or losses to the business. This in turn, necessitates constant
monitoring on the part of IT to make sure that there are no loopholes in the system.
 Raw data is always needed for inputting the same in the system as MIS is not self-
sufficient in generating data. Whatever raw data is entered then gives output to be used in
the process of decision making (Khairi and Tawarsh, 2018). In case of raw data being of
compromised quality, it leads to inappropriate output and accordingly, whatever
decisions does the management will have made on the basis of it would definitely be
ineffective.
 MIS is also not effective in terms of considering only quantitative factors and not taking
into account the non-quantitative factors like employee’s motivation level, morale and
attitude. This makes hampered decision making with respect to customers & employees.
CONCLUSION
From the above report it has been determined that management at Tesco should adopt
appropriate techniques for sampling in order to create highly representative sample out of the
population because the outcome of the survey is largely based on these parameters. In this report,
the main differences and the pros & cons of two types of data that is, primary & secondary data
has been identified which the researcher usually collects to address the given business problem.

Further, by taking turnover of Tesco for the past ten years as quantitative measure, the mean,
mode & standard deviation has been calculated. Finally, critical analysis has been done of how
MIS facilitates sound decision making in contemporary businesses.

REFERENCES
Books and Journals
Bakashbayev, A., and et.al., 2020. Examining the trends in bank deposits through internal and
external factors based on the supply chain strategies: A primary and secondary data
survey. International Journal of Supply Chain Management, 9(2), pp.526-536.
Bhardwaj, P., 2019. Types of sampling in research. Journal of the Practice of Cardiovascular
Sciences, 5(3), p.157.
Buntin, G. D., 2020. Developing a primary sampling program. In Handbook of sampling
methods for arthropods in agriculture (pp. 99-115). CRC Press.
Daghouri, A., Mansouri, K. and Qbadou, M., 2018. Information system evaluation based on
multi-criteria decision making: A comparison of two sectors. International Journal of
Advanced Computer Science and Applications, 9(6).
Dhondt, L., and et.al., 2021. Volumetric absorptive microsampling as alternative sampling
technique for renal function assessment in the paediatric population using
iohexol. Journal of Chromatography B, 1171, p.122623.
Hasan, A., 2021. Ethical considerations in the use of secondary data for built environment
research. In Secondary Research Methods in the Built Environment (pp. 26-39).
Routledge.
Huang, J.C ., Huang, H. C. and Chu, S. H., 2019. Research on image quality in decision
management system and information system framework. Journal of Visual
Communication and Image Representation, 63, p.102588.
Jayakrishnan, M., Mohamad, A. K. and Yusof, M. M., 2020. Strategic information system for
decision making in railway supply chain management. International Journal, 9(3).
Kalu, A. O. U., Unachukwu, L. C. and Ibiam, O., 2019. Accessing secondary data: A literature
review.
Kebede, M., Adeba, E. and Chego, M., 2020. Evaluation of quality and use of health
management information system in primary health care units of east Wollega zone,

Oromia regional state, Ethiopia. BMC medical informatics and decision making, 20(1),
pp.1-12.
Khairi, M. A. M. and Tawarsh, M. H., 2018. AN educational management information system
(EMIS) to enhance the decision-making process at the managerial level in Najarn
University, KSA. International Journal of Innovative Science and Research
Technology, 3(9), pp.416-420.
Lee, J. and Spratling, R., 2019. Recruiting mothers of children with developmental disabilities:
adaptations of the snowball sampling technique using social media. Journal of Pediatric
Health Care, 33(1), pp.107-110.
Olabode, S. O., Olateju, O. I. and Bakare, A. A., 2019. An assessment of the reliability of
secondary data in management science research. International Journal of Business and
Management Review, 7(3), pp.27-43.
Palepu, K. G., and et.al., 2020. Business analysis and valuation: Using financial statements.
Cengage AU.
Pedigo, L. P., 2020. Introduction to sampling arthropod populations. In Handbook of sampling
methods for arthropods in agriculture (pp. 1-11). CRC Press.
Rahman, M. M., and et.al., 2022. Sampling Techniques (Probability) for Quantitative Social
Science Researchers: A Conceptual Guidelines with Examples. Seeu Review, 17(1),
pp.42-51.
Rumisha, S. F., and et.al., 2020. Data quality of the routine health management information
system at the primary healthcare facility and district levels in Tanzania. BMC medical
informatics and decision making, 20(1), pp.1-22.
Scott, K. M. and Kline, M., 2019. Enabling confirmatory secondary data analysis by logging data
checkout. Advances in Methods and Practices in Psychological Science, 2(1), pp.45-54.
Siddiqui, N., 2019. Using secondary data in education research. Social Research Update, 68,
pp.1-4.