Business Practices: Data Analysis and Decision Making Report

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This report delves into the application of data analysis to enhance business practices, focusing on the contexts of Thailand and Pakistan. It begins with an introduction to the role of data analysis in business decision-making, emphasizing techniques like regression and correlation. The main body of the report examines data from World Bank Enterprise Surveys, identifying key business requirements and obstacles such as labor regulations, access to finance, crime, transport, customs, and electricity. The report employs statistical measures like mean, median, and mode to analyze the data, providing insights into the severity of these obstacles in each country. Findings include assessments of how these factors influence business expansion and investment decisions, followed by recommendations for strategic planning. The report concludes by summarizing the importance of data-driven decision-making for organizational growth and stability.
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USING DATA TO
BUILD BUSINESS
PRACTICE
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Table of Contents
INTRODUCTION ..........................................................................................................................3
MAIN BODY...................................................................................................................................3
Inspect the material supplied and acquired to identity the requirements of business.................3
Select the questions which will help management in deciding to choose the location where
company can invest.....................................................................................................................5
Look at the data for the inquiries that are being chosen utilizing the connected synopsis
measurement...............................................................................................................................6
Findings and recommendations.................................................................................................11
CONCLUSION .............................................................................................................................11
REFERENCES..............................................................................................................................12
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INTRODUCTION
Data analysis is the main role and purpose of qualitative and quantitative research. This
reports presents how data can be used to build and accomplish different business practices.
Regression and correlation are two unique techniques which can be used to describe importance
of qualitative and quantitative research. It can be used as a significant business tool for effective
and efficient decision-making regarding various business practices. It describes the importance
of data which is the base for research and how can the organisations accomplish their set of goals
and objectives and through the efficient analysis of data and satisfying all the objectives of the
research how one organisation can expand itself and size and scale of its operations. Data
collected by the entities can be used for further research and evaluation of several business
activities in order to increase the profitability and ensure high stability of the business in long
term (Bouncken and et.al, 2018).
MAIN BODY
Inspect the material supplied and acquired to identity the requirements of business
Data can be defined as an aggregation of distinct units of information in a understandable
manner so that it can be categorised in different means and manner as per different requirements.
Each and every unit carrying its differential value in the dataset. Data set is prepared on the basis
of different variables and these variables can be recognised as height, volume, temperature or
any other characteristics. Data is related with one or another set of data of similar type. Data set
contains different category of data which can be analysed to satisfy main goals and objectives of
the research. In this report, data set is given for two different countries which are Thailand and
Pakistan. Various variables are required to analysed in order to make a effective decision
regarding which country should be preferred by the organisation to set its division (Chanana,
2021).
An edited subset of survey data collected by World Bank Enterprise Survey (WBES) has
been provided to analyse it deeply to make informed decisions for the organisation. Data is
collected by considering the fact regarding several challenges that can be faced by the company
in order to grow its business activities and maintain sustainability in the above mentioned two
countries. It depicts about performance of the company in these two companies and related
factors which can affect the growth and expansion of the organisation. The excel sheet attached
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with this report contains three part in it. In first part of the excel sheet data of Thailand is
represented which is unsettled and unorganised and similarly in the second part raw and
unorganised data of Pakistan is presented. In the last part, key obstacles are identified which can
affect the organisation negatively and obstruct it from growth and expansion. By applying
different qualitative and quantitative research methods sorting of the data is done to identify
likelihood and severity of these obstacles and data set is further modified by using different
range, replace, count, sum etc. For analysing the data, firstly the degree of the data is calculated
such as mean, median and mode which helps in interpreting the data provided (Ding, 2018).
In the third part several key obstacles are identified which can restrict the organisation
from setting a branch in the county which will be beneficial for the organisation overall. These
obstacles are mentioned as follows:
Labour regulations.
Inadequately educated workforce.
Access to finance.
Crime, theft and disorder.
Access to land.
Practices of competitors in the informal sector.
Transport.
Customs and trade regulations.
Electricity.
Tax rates.
Tax administration.
Political instability.
Corruption.
Courts.
The given set of data is sorted in such a manner which can help the organisation in making
informed decisions about setting its branch in a different country (Franceschelli and et.al, 2018).
Select the questions which will help management in deciding to choose the location where
company can invest
The conditions of the business can be evaluate or analysed by the ways given below of two
different nations named as Pakistan and Thailand.
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Labour Regulation- The specific rules and regulation which are to be followed by the
businesses in order to get success known as work regulation. These rules and regulation helps the
businesses in running their operation smoothly. If the organisation did not follow the rules and
regulation properly then they can face some legal issues. With all rules and regulation every
country also have some labour regulation which every businesses have to obey. These
regulations are made so that the organisations can not be able to exploit the rights of the workers.
Access to Finance- The next points which is consider by the organisation while choosing
the location of the business in the country is access to finance. It means the organisation have to
choose that location where the the procedure for arrangement of finance is very short. The
organisation can easily get the financial help without any interruption (Ganda, 2019).
Crime, Theft and Disorder- It means that the organisation have to analyse the market
conditions of business before starting their operations. They have analyse and evaluate that the
criminal record where the business operations take place. The organisation have to do this
activity so that they cannot face any such issue in there business journey. If any criminal act
happened at business location then it can also leads to bearing of huge loss to the business. It is
because the consumers get afraid to come in that area again.
Transport- The next point which should be consider while starting of business activity in
the country is Transport. The businessman have to observe the transportation facility at the
location of their business. This activity have be done because the transportation play a very vital
role in the growth of the business. Without transportation facility the organisation cannot be able
to sell their product in the market as result they can suffer huge loss (Gupta, 2018).
Customs and Trade Regulation- If the organisations wants to establish their business
operation the country then they have to follow the rules related customs and trade. It means that
the organisation have to pay the amount of custom duties and trade duties to the government.
The organisations have to evaluate and analyse the rules so that they can be ready to make their
arrangements according to the rules and regulations.
Electricity- The next and very important point which should always have to consider if
the organisation want to establish their business at new location is electricity. The organisation
have to analyse that the area should be well developed and the electricity services should be
available for the 24 hours. If there is a any disturbance in the electricity services then due to this
the organisation can face problem in completion of their targets (Ishfaq and et.al, 2022).
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Look at the data for the inquiries that are being chosen utilizing the connected synopsis
measurement.
Examination with the assistance of estimating focal inclination:
The single assistance provided by measurable measurement of dispensed dataset is a
focus of different aspects which can be alluded as focal propensity. The analysis point is to
precisely characterise all the data present in the conveyance. corruption, poor infrastructure etc.
on business activities.
Mean is an essential concept in mathematics and statistics measuring the central tendency
of a given set of values. It is derived by totalling the sum of all values in a collection of numbers
divided by number of numbers in a collection. It is chiefly signifies as arithmetic mean.
Median being a statistical measure determines the middle value of a dataset listed in an
ascending order or descending order. It can be used with a large dataset containing large outliers
as median is not affected by extreme values which generally skew the mean. In an informational
index the middle component can be figured by taking mean of two worth from mid.
Mode refers to the value or event in a dataset which happens continuously. Unlike mean
and median that are unique to the particular dataset, there might be more than one mode. Thus, it
can provide insights into almost any dataset despite the data distribution (Jackson, 2019).
Decisions are made by considering different stages of 5 point Likert scale which are as
follows: No obstacle; Minor obstacle; Moderate obstacle; Major obstacle; very severe obstacle.
The respondent were supposed to choose from the given five point Likert Scale and make
decisions accordingly on the above determined point for the relative obstacle (Javed and et.al,
2020).
Assessment of different elements which should be incorporated while framing a choice that
connected with extension in Thailand and Pakistan:
Examination of Labour Regulations
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The above presented dataset reflects the focal inclination in what ways labour guidelines
presently applicable on organisations are threat on their development and extension of the
industry. The mean determined for information series that connects with Labour guideline of
nations. For example: Thailand and Pakistan were 1.443 and 2.210. It typically implies that
number of respondents connected with Thailand choose “No Obstacle”. Further in relation to
Pakistan the inclination of the opinion is towards “Minor obstacle” to “Moderate obstacle”. The
median of the given operation is 1 and 2, this implies that the centre of the study went for “No
Obstacle” and “Minor obstacle” for the two regions. Further talking in terms of most respondent
responses, the responses were most extreme as the respondents went for 1 that is "no
impediment" for both the regions Thailand and Pakistan.
Assessment of Access to Finance
The above presented dataset reflects the focal inclination in what ways labour guidelines
presently applicable on organisations are threat on their development and extension of the
industry. The typical mean calculated relates towards the application of the funds in the region.
For Thailand and Pakistan the figures are 1.554 and 2.229 respectively which can be identifies as
“Minor obstacle” and “Moderate obstacle”. The middle of the information series was 1 and 2 in
regard of nations. This likewise implies that the great. The middle of the information series was 1
and 2 in regard of nations. This likewise implies that the greatest number of journalists go
towards choice 1 that is "no obstacle" for test number of journalists go towards choice 1 that is
"no obstacle" for Thailand. Further talking in terms of most respondent responses, the responses
were most extreme as the respondents went for 1 that is "no impediment" for both the regions.
Assessment of Crime, Theft and Disorder
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The above calculated dataset represents in what ways crime, theft and disorder can
impact upon the organisation and its different business activities. Crime, theft and disorder have
a overall negative impact on the business and its reputation and market worth. It can create direct
and indirect pressure on the business owners and managers who in actual manage the day to day
business activities. It can distort its functioning and market worth by creating negative impact on
the distinct persons associated with the business in one or another manner. The mean calculated
above represented the severity of this obstacle in different countries: Thailand and Pakistan. Like
mean for both the countries are 1.348 and 2.588 which can be identified in five point Likert scale
as “no obstacle” and “moderate obstacle” respectively in both the regions. Likewise, median for
both the regions are 1 and 2 which can be considered as “no obstacle” and “minor obstacle”
respectively for both the countries. And mode represents that for both the regions this obstacle is
represented as “no obstacle”.
Assessment of Transportation
The above figured data set shows that assessment of transformation is quite necessary for
the business organisation in order to analyse its impact on the business activities which can
present as a problem for the organisation to deal with. This assessment of transportation will
assist the management in identifying different transportation system which are used by the
organisation for transporting the goods and required material for the production and other
distribution and selling activities. The mean presented in the above table can be characterised as
essential aspect to evaluate the impacts of different modes generally used by the organisation to
conduct its activities. Mean for both the regions are calculated as 1.559 and 2.594 which can be
assessed as “minor obstacle” and “moderate obstacle” for Thailand and Pakistan respectively.
This shows that in Thailand there are much more better opportunities rather than Pakistan.
Median for both the countries are 1 and 3 which can be assessed as “no obstacle” and “moderate
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obstacle” and similarly mode for Thailand and Pakistan are 1 and 2 which can be taken as “no
obstacle” and “minor obstacle” for both the regions.
Examination of Customs and Trade Regulations
The above identified figures for customs and trade regulations shows how can customs
and trade regulations can affect an organisation's working and its efficiency in operating
business. Different countries have different customs and trade regulations set by their respective
governments which can impact on the organisation's profitability and feasibility in operating its
business operations. An organisation must follow custom laws and trade regulations set by
governments in order to remain consistent in operations otherwise it can severely impact upon its
stability and being inconsistent with the relative customs and trade laws can force the
organisation towards closing the operations in the respective country. Mean for both the
countries are calculated as 1.265 and 2.237 which can be taken as “no obstacle” and “minor
obstacle” for Thailand and Pakistan respectively. Similarly, median for both the regions are
calculated as 1 and 2 which can be assessed as “no obstacle” and “minor obstacle” and mode for
the countries are as 1 which can be taken as “no impediment” for different countries.
Assessment based on Electricity
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The above presented figures for electricity can be depicted as how this measure can prove
to be a obstacle for the organisation. Electricity is a basic necessity for any business or human
being in the world. In today's world of technologies and artificial intelligence where electricity
has become a mandatory facility, one organisation cannot be assume its operations without this
basic necessity. Almost most of the production and business activities can only be done with the
electricity therefore business must ensure a smooth and efficient electricity system with all the
safety measures through which all the business activities can be done. Mean for Thailand and
Pakistan are calculated as 2.135 and 4.280 and can be assessed as “ minor obstacle” and “major
obstacle” likewise median for both the countries are calculated as 1 and 5 which can be assessed
as “no obstacle” and “very severe obstacle” and so with the mode for both the respective
countries.
Findings and recommendations
By considered above factors it can be said that Thailand would be a better and
preferential option for the company to set its one of branch in this country. It will be beneficial
for the company in overall context.
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CONCLUSION
From the above report, it can be said that data analysis can be used as a significant tool in
order to enable the organisation to make informed and qualitative decisions about various
business activities. It can help the organisation in evaluation of several business challenges
which can turn as significant opportunities for the organisation to grow. Further in this report,
already provided data is sorted with the help of different sorting techniques and for evaluation of
such data mainly mean, median and mode methods are used and on the basis of these methods 5
point Likert Scale are identified which ultimately assess the organisation in evaluating each and
every obstacle which can restrict itself from satisfying the research goals and objectives.
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REFERENCES
Books and Journals
Bouncken and et.al, 2018. Coopetition in coworking-spaces: value creation and appropriation
tensions in an entrepreneurial space. Review of Managerial Science. 12(2). pp.385-410.
Chanana, N., 2021. Employee engagement practices during COVID‐19 lockdown. Journal of
public affairs. 21(4). p.e2508.
Ding, B., 2018. Pharma Industry 4.0: Literature review and research opportunities in sustainable
pharmaceutical supply chains. Process Safety and Environmental Protection. 119. pp.115-
130.
Franceschelli and et.al, 2018. Business model innovation for sustainability: a food start-up case
study. British Food Journal.
Ganda, F., 2019. The impact of innovation and technology investments on carbon emissions in
selected organisation for economic Co-operation and development countries. Journal of
cleaner production. 217. pp.469-483.
Gupta, H., 2018. Assessing organizations performance on the basis of GHRM practices using
BWM and Fuzzy TOPSIS. Journal of environmental management. 226. pp.201-216.
Ishfaq and et.al, 2022. Digital supply chains in omnichannel retail: A conceptual
framework. Journal of Business Logistics. 43(2). pp.169-188.
Jackson, N.C., 2019. Managing for competency with innovation change in higher education:
Examining the pitfalls and pivots of digital transformation. Business Horizons. 62(6).
pp.761-772.
Javed and et.al, 2020. The effects of corporate social responsibility on corporate reputation and
firm financial performance: Moderating role of responsible leadership. Corporate Social
Responsibility and Environmental Management. 27(3). pp.1395-1409.
Khan and et.al, 2020. Determinants of economic growth and environmental sustainability in
South Asian Association for Regional Cooperation: evidence from panel
ARDL. Environmental Science and Pollution Research. 27(36). pp.45675-45687.
La Torre and et.al, 2018. Harmonising non-financial reporting regulation in Europe: Practical
forces and projections for future research. Meditari Accountancy Research.
Panahifar and et.al, 2018. Supply chain collaboration and firm’s performance: the critical role of
information sharing and trust. Journal of Enterprise Information Management.
Pergelova and et.al, 2019. Democratizing entrepreneurship? Digital technologies and the
internationalization of female‐led SMEs. Journal of Small Business Management. 57(1).
pp.14-39.
Svensson and et.al, 2018. Framing the triple bottom line approach: Direct and mediation effects
between economic, social and environmental elements. Journal of cleaner production. 197.
pp.972-991.
Zarbakhshnia and et.al, 2018. Sustainable third-party reverse logistics provider evaluation and
selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk
criteria. Applied Soft Computing. 65. pp.307-319.
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