Using Data to Build Business Practice WBES Data Analysis

This report explores how big data can help businesses achieve their goals more effectively. It examines a case scenario of a business planning to expand its operations in Africa and analyzes data from the World Bank Enterprise Survey (WBES) to identify potential obstacles. The report covers topics such as labor regulation, business licensing permits, political instability, customs and trade regulations, and access to finance and land. The report also explains how to use measures of central tendency such as mean, median, and mode to analyze the data.

USING DATA TO
BUILD BUSINESS
PRACTICE WBES
DATA ANALYSIS

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................4
Analyse the material supplied for acquiring a better grasp of what the organisation needs and
demands.......................................................................................................................................4
Select the questions organisation wants to look after to access the data they require.................5
Examine the information for the questions that are being selected using the related summary
statistic.........................................................................................................................................6
CONCLUSION..............................................................................................................................11
REFERENCES..............................................................................................................................12

INTRODUCTION
The report prepared as under helps to understand what big data is and in what ways it
would help company to achieve its goal in a effective and efficient manner (Bade and et.al.,
2020). It is being observed in today's time period that e commerce and marketing are very having
very close connection as well as connectivity with big data and it is not having any limited ends
in such industries. Businesses in a mixture of various industries might prove to be beneficial
from information in a variety of ways with adequate analysis which would allow firm in
differentiating itself from its related competitors as well. Such under laid approaches can also be
used and would be helpful for detecting probability of mistakes or frauds before they take place,
especially in areas of finance. The main goal and aim of e commerce giants such as Wal-Mart
and Amazon is in leveraging of information to their benefits and advantages. Such businesses are
able to have a better understanding of their linked and engaged customers, their demands,
requirements and habits as well by carrying out analysis more carefully through their users
browsing history. Such data is subsequently put to better use for guarantying that the
organisations earning can be increased and maximized as well. The information also allow the
corporate to show things and items that specific customers are expected to purchase or request
for. The report follows highlighting the case scenario of a business which plans to expand their
business related operations in markets of Africa. For the same purpose and issue the business
would be examining various factors which are active in territories such as South Africa and
Kenya. The business further need to choose one country from above stated list and for such
cause various data and information collected from sites of World bank is being taken into
account for carrying out better analysis.

MAIN BODY
Analyse the material supplied for acquiring a better grasp of what the organisation needs and
demands.
A dataset can be explained as a set of data which collects accurate information in a form
of table. Each column depicts a different variable and value. According to asked and stated
question each row denotes a certain value of the data set. It is considered one of the most vital
and integral part of the management procedure. Data series represents the value for each variable
that remains for unknown quantities for example object's weight, height , temperature, volume
and other characteristics as well as the values of random numerical order. Such set of values is
preferred to as datum. Each row in the data collected so far corresponds towards the information
of one or more member. Learning about the concept adapted of a data set, series, attributes and
more in such articles might include many solved case. The data set which is being examined for
such reports is linked with two different countries such as Kenya and South Africa. Various
factors are being chosen in the report that would provide insights towards the businesses which
relates to how easy or hard it is for the firms for setting up their companies and for running their
operation in chosen country in a more smooth manner (Bbaale, 2018).
The data which is being given is a condensed description of information which is
obtained by the World Bank Enterprise Survey (WBES). The data collection explains some of
the issues that are being faced by companies in several regions. The data set is bifurcated into
three excel sheet. The first sheet in excel gives results which are related to South Africa, the
second sheet in excel gives insight which relate to Kenya and in third excel sheet is considered as
a key for interpreting first two sheets. The data has been sorted for further examination with the
help of different tools present in excel such as
replace, sort, count etc. And for further analysis portion usage of median, mode and mean is
adapted which can be interpreted with the help of following steps:
The data set that can be provided takes in account a major questions which is "To what
extent are each of the following counted as an hurdle towards present operations of such
establishment?" and various factors are discussed thereafter, such factors are:
 Corruption
 Electricity
 Tax rates

 Courts
 Corruption
 Business Licensing Permit
 Practices of competitors in informal sectors
 Access to land
 Crime, disorder and theft
 Transport
 Access to finance
 Trade regulations and Customs
 Inadequately educated workforce
 Labour regulation
 Political instability
The information that is being given has been coded in different terminology and sorting
of information has been done for making it more understandable and presentable, with the help
of excel tools.
Select the questions organisation wants to look after to access the data they require.
The data set has been given with various factors that are helpful for business for taking
into consideration during process of decision making which is related to expansion in Africa
country. Following elements are chosen for such particular examination of the African countries:
 Labour regulation: The important rules and regulations which must be followed by
business are known as labour law compliance. Such rules and regulations which help in
governing employment. The rules which help in controlling interaction among
employees, trade unions, government and employers are explained as labour laws. The
tripartite connection facilitated between employer, trade unions, employee is considered
subject of collective labour law. Individual labour law is apprehensive with workers
rights at workplace, as well as the contract of employment (Boffa, Jansen and Solleder,
2021)..
 Business licensing permit: A business license can be explained as a government issued
license that allows businesses or people to do rightful business within the government's
territorial ability.

 Political instability: The employment authorised by the public force by governments is
necessary for maintaining stability in political areas. By focusing on unpredictability in
political instability, electoral politics is closely related with the notion of a unsuccessful
state. When a government authority has lesser capability for affording and providing
fundamental services towards its citizens, for example capacity required for procuring
shelter and food and security as well. It loses its authority for enforcement of law which
would further result in political instability. Businesses must examine the impact of a new
law which is imposed by a governmental body on its related functions and operations.
Organisations may need to build new policies or strategies in relation to form compliance
with legislative goals.
 Customs and trade regulations: Trade rules can be explained as laws which are adapted
by state and federal government authorities for encouraging unrestricted corporative
competitions. Trade regulation counts advertising laws, trademark laws, franchise laws
and consumer protection law as well (Cariolle, 2018).
 Access to finance: A organisation financial base is critical and crucial. Finance is
demanded for acquiring products, assets and raw materials as well as for other economic
related operations. Taking a closer detail at the definition of business finances.
 Access to land: It can be said as a source of utilising funds in a organisation. Land is also
being used for constructing business structure and for carrying out activities and duties
which is desired by enterprises, example such as farming.
Examine the information for the questions that are being selected using the related summary
statistic.
Analysis with the help of measuring central tendency
The single value captured by statistical metric of whole distributed dataset or data series
is referred as central tendency. Its aim is to accurately define all of the information present in the
distribution.
Mean is explained as average value present in the data series or data set. It can be
calculated with the help of multiplication of total of all values that are available in data set by the
number of values in data series. It is mainly denoted as arithmetic mean.

Median is described as mid value in a series whether the it is being sorted in a descending
or ascending form. At the time of even number available in a data set the median element can be
computed by taking mean of two value from mid.
Mode denotes the value which occurs on a frequent basis in a data set. There is
possibility when the data set might have various and at times it might not have even one.
The responding people were provided a five point Likert Scale. The first option that was
provided to the respondents denoted "No obstacle". And in fifth case it denoted "Very severe
obstacle". The respondents were expected to select from the given five point Likert Scale.
Examination of various factors which must be included while forming a decision that
related to expansion in Africa:
Customs and trade regulations
South Africa Kenya
Mean 1.290174472 2.258368201
Median 1 2
Mode 1 1
Investigation of Custom and Trade regulation: The above computed measure of central tendency
state that how trade and custom regulationpose a risk on the growth of the companies. The mean
for the data series relating to the trade regulation and customs the territories such as countries
such as Kenya and South Africa 2.25 and 1.2 respectively. This states that the average of the
correspondents which connects to South Africa selected fir option one "No obstacle". It means
that the average number of people which relate to Kenya selected for option two that was "Minor
obstacle". The median of the data series was 1 and 2 for the chosen countries. It simply means
that the mid value of the survey went with "Minor obstacle" and "No obstacle" for both
countries (Chawla, Singh and Singh, 2020). The mode of the data set was 1 and 1 in case of
Kenya and South Africa. It means that the maximum number of correspondents who go with
option 1 that is "no obstacle" for both the territories.
Political Instability
South Africa Kenya

Mean 1.844322344 3.153846
Median 1 3
Mode 1 4
Study of Political instability: The above computed measures of central tendency that shows how
political instability pose a risk towards the growth and expansion of business. The mean for the
dataset which relates to instability in political areas such as for the countries like Kenya and
South Africa were 3.15 and 1.8. This clearly means that the average number of respondents
which are related to Kenya went for third preference was "Moderate obstacle". The median of
the data series was 1 and 3 in respective countries which means that the middle correspondent in
the survey went for "No obstacle" and "Moderate obstacle" for both territories. The mode for the
data series was 4 and 1 in case of Kenya and South Africa respectively. This depicts that the
maximum count of number in case of available respondents opted for 1 option which states "no
obstacle" and option 4 that is "major obstacle".
Business Licensing Permit
South Africa Kenya
Mean 1.371115174 2.241869919
Median 1 2
Mode 1 1
Examination of Business licensing permit: The above computed figures of central tendency
denotes in what ways Business licensing permitposes a risk on the expansion and growth of
business. The mean for the data series which relates to the business licensing permitin the
territories the territories such as Kenya and South Africa were 2.2 and 1.3 on respected zones.
This clearly states that the average value of respondents which would be relating to South Africa
chose option one which is "No obstacle". This states that the average amount of respondents
which relate to Kenya went for third option that is "Minor obstacle". The median of the data
series is 1 and 2 for selected countries which means that the mid value of the survey went for
"Minor obstacle" and "no obstacle" for both countries, the mode of the data set was 1 and 1 for
South Africa and Kenya respectively (Dong, Liu, and Huang). This would mean that the
maximum numbers of people would opt for option 1 which is "no obstacle" for both the
territories.

Labour Regulation
South Africa Kenya
Mean 1.374429224 1.943548387
Median 1 2
Mode 1 1
Examination of labour regulations: The above computed measure of central tendency reflects in
what ways Labour regulation pose is a threat on growth and expansion of companies and
business. The mean calculated for data series that relates to Labour regulation of countries such
as Kenya and South Africa were 1.94 and 1.3 accordingly. It clearly means that the average
number of respondent which relate to South Africa chose option one which depicts choice of "No
obstacle". This clearly means that the average number of people which relate to Kenya given
preference to Option two which denotes "Minor obstacle". The median of the data set was 1 and
2 accordingly for the territories, which mean that the middle correspondent of the survey made
went for "No obstacle" and "Minor obstacle" for both territories the mode of the data series as 1
and 1 for Kenya and South Africa in respected ways. This states that the maximum amount of
respondents went for option 1 that is "no obstacle" for both the territories.
Access to land
South Africa Kenya
Mean 1.927489177 1.927489177
Median 1 1
Mode 1 1
Study of Access to land: The above computed measures of central tendency reflects in what
manner access to landpose seem to be a threat in expansion and growth of the company. The
mean for the data series which relates to Labour regulation in territories such as Kenya and South
Africa were 1.9 and 1.9 correspondingly. This states that the average number of respondents
which relate to Kenya and South Africa considered the option which is "No obstacle". The
median calculated for dataset resulted to be 1 for the chosen countries, this states that the mid
respondent of survey carried out went for "no obstacle" for both territories. The mode of the data
series calculated for Kenya and South Africa is 1. It clearly states the maximum number of
correspondents chose option 1 that is "no obstacle" for both chosen countries (Egbetokun, 2022).

Access to finance
South Africa Kenya
Mean 1.740092166 2.607298387
Median 1 2
Mode 1 2
Examination of Access to finance: The above computed measure of central tendency helps to
understand in what ways access towards Finance poses towards a threat towards the growth and
expansion of companies. The average mean for the data set relates towards the access to finance
in the territories such as Kenya and South Africa which considered option who which is "Minor
obstacle". It states that the average number of respondents which relates to Kenya chosen option
third which is "Very severe obstacle". The median of the data series was 1 and 2 in respect of
countries. This also means that the maximum number of correspondents go towards option 1 that
is "no obstacle" for South Africa and in case of Option 2 it is "Minor obstacle".
Findings and suggestions
To carry out necessary findings and provide related suggestions to companies, all the elements
are required to be taken in account. The table under denotes the average of measure of central
tendency of all different factors that relate to Kenya and South Africa.
Factors South Africa Kenya
Political Instability 1.281440781 3.384615385
Customs and trade
regulations 1.096724824 1.7527894
Business Licensing Permit 1.123705058 1.747289973
Access to finance 1.246697389 2.202432796
Labour Regulation 1.124809741 1.647849462
Access to land 1.309163059 1.309163059

It can observed from above tabular and graphical presentation that in case of South Africa, the
measure of central tendency had an average nearby to 1 and 1.5 for all elements. It further mean
that the average value calculated has gone together with option 1 that is "No obstacle" but in case
of Kenya, the outcome has fluctuated for various factors.
It is thus advised for the businesses in related report that it must grow its business and
companies in south Africa as this territory is considered better for investment and growth of
operational work when compared to Kenya.
CONCLUSION
From the above prepared report it can be asserted that business must analyse the
environment of market before they plan their entry. The business in the report carried out
conducts a study which relates to market of two countries that are Kenya and South Africa. The
business is further suggested that it must go for South Africa and improve their working of
business in the country as their findings from the report is more favourable for businesses.

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