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Tiêu đề Using Data For Building Business
Tác giả Pham Thi Thanh Tuyen
Người hướng dẫn Assoc. Prof. Dr Nguyen Thi Hoang Anh
Trường học University of Bedfordshire Foreign Trade University
Chuyên ngành Business
Thể loại end-module assignment
Năm xuất bản 2022-2023
Thành phố Ho Chi Minh City
Định dạng
Số trang 25
Dung lượng 2,18 MB

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Total Expenditure or Spends by PackageThe total expenses based on the tour package for all the three years is represented in Figure 2 using the side bar chart.Using data tobuild pratice

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UNIVERSITY OF BEDFORDSHIRE FOREIGN TRADE UNIVERSITY

-*** -

-*** -END-MODULE ASSIGNMENT

Module: Using Data For Building Business – S1

Code: BSS004-1.S1

Using Data For Building Business - S1

Student: Pham Thi Thanh Tuyen

Student ID: 2245519110

Cohort: K60BFB

Semester: I

Academic year: 2022-2023

Headteacher: Vo Thi Thanh Hang

Submission date: 19 December 2022

Student’s signature:

FOR EXAMINERS ONLY

Grade (in number):

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UNIVERSITY OF BEDFORDSHIRE FOREIGN TRADE UNIVERSITY

-*** -

-*** -END-MODULE ASSIGNMENT

Module: Using Data For Building Business – S1

Code: BSS004-1.S1

USING DATA FOR BUILDING BUSINESS

Student’s fullname: Pham Thi Thanh Tuyen Student ID: 2245519110

Cohort: K60BFB

Lecturer: Assoc Prof Dr Nguyen Thi Hoang Anh

Ho Chi Minh City, December 2022

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STATEMENT OF AUTHORSHIP

Except where reference is made in the text of the end-module assignment, thisassignment contains no material published elsewhere or extracted in whole or in partfrom an assignment which I have submitted or qualified for or been awarded anotherdegree or diploma

No other person’s work has been used without due acknowledgements in the module assignment

end-This end-module assignment has not been submitted for the evaluation of anyother modules or the award of any degree or diploma in other tertiary institutions

Ho Chi Minh City, December 2022

(Signature and fullname)

Pham Thi Thanh Tuyen

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STATEMENT OF AUTHORSHIP 1

Part 1: YIntroduction 1

Part 2: Analysis and Findings 2

Part 3: Discussion 13

Part 4: Conclusion and Recommendation 14

Part 5: References 16

Introduction

This project is used to analysis the TravelPac data with the help of Microsoft Excel There are a series of data files in the TravelPac, which allows the users to perform analysis of

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estimating the overseas travel and tourism in particular subgroups And, from the IPS (International Passenger Survey, a sample survey that the ONS (Office for National Statistics) conducts, the data files are obtained The outcomes depend on the interviews carried out face-to-face with a sample of passengers when they leave or enter the UK (United Kingdom) via sea, principal air, and channel tunnel routes There is a chance for nearly 95% passengers of getting selected The remainder includes both passengers travelling during night, while there is a suspension of interview, or the routes are extremely small in size or highly pricy for covering The travelers who pass by the passport control are chosen randomly for the interview, and this is where a voluntary and anonymous basis interview is conducted, which covers children as well asthe adults Every single year, nearly 300,000 interviews are taken which show nearly 0.2% travelers And, as a whole the survey’s total response rate is a little more than 80%.

The intension of this report is to help understand how to determine the data requirements,select suitable data collection instruments for business decisions, to improve Microsoft Excel skills, implement suitable analysis methods, conduct evaluation and determine the findings.The aim of this report is to prepare all the required charts, complete the Microsoft Excel calculations associated to the dataset, and interpret the findings based on the dataset’s context.The objectives are listed as follows:

1) To analyze the data present in TravelPac data for understanding the UK residents’ travel pattern 2) To outline the interesting findings

3) To suggest suitable recommendations associated to the potential target segment

4) To document the analysis report for submitting to the Head of the Marketing Department, forcarrying out further investigation

Analysis and Findings

Based on the above listed objectives, this analysis will be conducted, which is carried out

by a travel agent/employee, who works for the Britain’s Marketing department, and aims to sell the overseas holidays to the British customers

As a next step, analysis the given TravelPac dataset to improve the understanding of a travel pattern of the UK residents based on the insights of the interesting findings determined associated to the TravelPac dataset

1 Total Duration by Age

Let us start by determining the total duration based on the age for all the three years by creating column bar chart, as shown in the Figure 1 below

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-Using data to

build pratice None

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Figure 1: Total duration by age

As a consequence of the created column bar chart, it depicts the total count of the length of the visit for all the three years The year 2019 shows the highest count of duration when compared with the year 2021 and 2022 The age group of 25 to 45 years comprise the highest participant respondent when compared with the other age groups, as exhibited in the Table 1

Table 1: Table representing the Total duration by age

2 Total Expenditure or Spends by Package

The total expenses based on the tour package for all the three years is represented in Figure 2 using the side bar chart

Using data to build pratice None

Quy định viết tiểu luận -…

Using data to build pratice None

1

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0 10000000000 20000000000 30000000000 40000000000 50000000000 60000000000 70000000000

Total Expenditure by Package

Figure 2: Total expenditure by package of the tour

As per the Figure 2, independent package has the highest expenditure in comparison with the non-independent package And, the year 2019 shows the highest package expenses in contrast to

2021 and 2022, which is exhibited in Table 2

Table 2: Table representing the Total expenditure by package of the tour

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271642458.38Average

2321715.81Standard Deviation

5790081.761Median

568774.54

3 Total Expenditure by Sex and Year

Next, determine the total expenses based on the gender and the respective year, which is represented in figure 3’s bar chart

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Total Expenditure by Sex

Figure 3: Total expenditure by Sex

From the Figure 3, it is identified that the male gender has spent the highest on the packages when compared with the other genders in the 2019 Then, 2019 is identified to have the highest expenditure in contrast to 2021 and 2022, which is exhibited in Table 3

Table 3: Table representing the Total expenditure by Sex

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Go ahead and determine the number of visits based on the tour packages for all the three years by creating a 3–D line chart as depicted in Figure 4.

Number of Visits by Tour Package and Year

Figure 4: Number of Visits by Tour Package and Year

Based on the figure 4’s 3–D line chart, the packages are compared, and the independent package

is shown to have the highest visits in comparison to the non–independent packages Then, in contrast to the other years, 2019 has the highest visits and it is exhibited in the Table 4

Table 4: Table representing the Number of Visits by Tour Package and Year

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Later, the basic statistics information is determined associated to the visits as follows:

Minimum

0.00Maximum

229656.02Average

2927.777447Standard Deviation

7079.35596Median

1161.51

5 Number of Visits by Age and Year

Here, determine the number of visits based on the age group for all the three years, as represented in Figure 5’s bar chart

Number of Visits by Age

Figure 5: Number of visits by Age

As per the Figure 5, in the year 2019, the age group 35 to 44 showed the highest number of visits

as the international passengers In 2021, the age group of 25 to 34 showed the highest number of

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visits Further, in 2022, the age group of 25 to 34 showed the highest number of visits in the international passenger, as tabulated in Table 5.

Table 5: Table representing the Number of visits by Age

6 Tour Purpose by Method of Travel (Mode)

This section focuses to determine the method of travel by tour purpose and the respective year in the figure 6

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Tour Purpose by Method of Travel (Mode)

Figure 6: Tour Purpose by Method of Travel (Mode)

As per the determined outcome, in the year 2019, holiday is the purpose that is the highest method of travel mode when compared with the other methods of travel mode In 2021 and 2022,the VFR purpose has the highest method of travel mode, which is displayed in Table 6

Table 6: Table representing the Tour Purpose by Method of Travel (Mode)

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Study 93

7 Tour Purpose by Nights

Further, find the purpose of tour by total number of spent nights during their visit to all the three years The created pie chart is shown in Figure 7

Figure 7: Tour Purpose by Nights

As per the depicted pie chart, the VFR tour purpose has the highest number of nights (spent whilst on a visit) in contrast with the others This is exhibited in Table 7

Table 7: Table representing the Tour Purpose by Nights

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Furthermore, the basic statistics information associated to the night’s variable is determined as follows:

Minimum

0.00Maximum

2788350.22Average

32965.67753Standard Deviation

74553.68471Median

9463.01

8 Number of Visits by UKOS

In the end, determine UKOS’ number of visits and the respective year by creating a bar chart, as shown in Figure 8

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Number of Visits by UKOS

Figure 8: Number of Visits by UKOS

As a consequence of this result, it is observed that the highest number of visits in 2019 was done

by the overseas residents In contrast to the overseas residents, the highest number of visits is done by the UK residents in the year 2021 and 2022 This is exhibited in Table 8

Table 8: Table representing the Number of Visits by UKOS

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2022 4409

Discussion

All the findings will be discussed and interpreted in this section of the report This report

is represented as a travel agent employee, who works for the Britain’s Marketing department, for selling the overseas holidays to the British customers

Here, the context of the dataset revolves around the International Passenger Survey, who gathers the details of the passengers who enter and leave the UK This is working continuously from the year 1961 The data of 2019 is present in the datafile TravelPac (i.e., prior to the COVID-19), 2021 and 2022’s first quarter Here, the following are the intended tasks: 1) To analyze the data present in TravelPac data for understanding the UK residents’ travel pattern 2) To outline the interesting findings

3) To suggest suitable recommendations associated to the potential target segment

4) To document the analysis report for submitting to the Head of the Marketing Department, forcarrying out further investigation

And, this report has represented and outlined all the important representations as follows:First, the total duration based on the age is determined using a visualization, which showsthat the total count of length of the visit for all the three years (Refer Figure 1 and Table 1 for more details) Here, comparatively 2019 is the year that is shown to have the highest count of duration than the year 2021 and 2022 Further, the age group that has the highest participant respondents belong to 25 to 45 years

Next, refer Figure 2 and Table 2, as it shows that the independent package has the highestexpenditure

By referring to the Figure 3 and Table 3, it is observed that in the year 2019, the male gender has mainly spent the more on the packages then the female and the unknown genders And comparatively, the year 2019 is identified to have the highest expenditure

Based on the figure 4’s 3–D line chart, the packages are compared, and the independent package is shown to have the highest visits in comparison to the non–independent packages Then, in contrast to the other years, 2019 has the highest visits

Take a look at Figure 5 and Table 5, as it shows that in the year 2019, the age group 35 to

44 had the highest number of visits as the international passengers, whereas, in 2021, the age group of 25 to 34 showed the highest number of visits Further, in 2022, the age group of 25 to

34 showed the highest number of visits in the international passenger

From the Figure 6 and Table 6, it is identified that the year 2019’s highest method of travel mode was for “Holiday purpose”, whereas, in 2021 and 2022, VFR purpose is the highest method of travel mode

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Moving on, the purpose of tour is identified based on the total number of nights spent during their visit to all three years The created chart showed that the VFR (i.e., Visiting friends and relatives) tour purpose has the highest number of nights (Refer Figure 7 and Table 7 for moredetails) And, VFR is also a form of tourism, which is undertaken for relaxing, and falls under the category of holidays, leisure, and recreation (Yousuf & Backer, 2015)

Finally, the result showed that the highest number of visits in 2019 was done by the overseas residents But, in 2021 and 2022, the UK residents have the highest number of visits (Refer Figure 8 and Table 8 for more details) Here, the overseas residents could be the students, who visited Thus, the travelling pattern of the UK residents is identified

The main point to be noted is that in 2020 the pandemic situation restricted the visit and travel industry was in loss (or highly impacted) like other businesses in the world Gradually, with the relaxation of travel obligations (i.e., isolation period after traveling), and mandatory vaccine, the number of sales increased with VFR in 2021 and 2022

Hence, it is interpreted that the holiday purpose is the highest and effective ideas for the travel agency must be updated every now and then to get more sales from the customers And, in travel business it is necessary to keep this increasing, as it will lead to increase the sales, respectively increase the growth of the business Henceforth, the marketing head must take necessary steps and actions for increasing the easy travel options or reach a vast number of audiences to catch their attention

Conclusion and Recommendation

This report has supported in determining the data requirements, deciding suitable data collection instruments to take right business decisions, suitable analysis, evaluation and findings

of the conducted analysis

Subsequently, all the required charts are prepared, completed the Microsoft Excel calculations associated to the dataset, and interpreted the findings based on the dataset’s context, which suggest that the highest number of visits in 2019 was done by the overseas residents However, in 2021 and 2022, the UK residents have the highest number of visits Due to COVID-

19 pandemic, the holiday purpose visit decreased in 2020, which again increased in 2021 and

2022 that is, after the COVID-19 pandemic when the travelling was opened

The following are the suggested recommendations for the marketing head of the Britain

to improve the travel agency's marketing ideas- understanding the audience, website

optimization, investing on the content marketing, facilitating quality service, utilizing the social media, and partnering with the local business (Seven effective marketing ideas for your travel agency, 2020) All these strategies help stay competitive and increase the easy options of travelling in the market The use of social media can be really a powerful tool to get this done, as

it has the highest networks to reach a vast audience

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