(Tiểu luận) end module assignmentmodule using data for building business – s1

UNIVERSITY OF BEDFORDSHIRE FOREIGN TRADE UNIVERSITY SCHOOL OF BUSSINESS *** HO CHI MINH CITY CAMPUS *** 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): ……………… Grade (in words): ……………… Examiner (Signature & Fullname) ……………… Examiner (Signature & Fullname) ……………… Ho Chi Minh City, December 2022 UNIVERSITY OF BEDFORDSHIRE FOREIGN TRADE UNIVERSITY SCHOOL OF BUSSINESS *** HO CHI MINH CITY CAMPUS *** 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 Semester: I Academic year: 2022-2023 Lecturer: Assoc Prof Dr Nguyen Thi Hoang Anh Ho Chi Minh City, December 2022 i STATEMENT OF AUTHORSHIP Except where reference is made in the text of the end-module assignment, this assignment contains no material published elsewhere or extracted in whole or in part from an assignment which I have submitted or qualified for or been awarded another degree or diploma No other person’s work has been used without due acknowledgements in the endmodule assignment This end-module assignment has not been submitted for the evaluation of any other 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 11 Conten STATEMENT OF AUTHORSHIP Part 1: YIntroduction Part 2: Analysis and Findings 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 11 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-toface 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 as the 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, for carrying 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 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 below Document continues below Discover more from: data to Using build pratice Trường Đại học… 119 documents Go to course Ftubanedited-2 - 15 cuối kì Using data to build pratice None Anh Prism - Tai lieu thuc hanh tieng anh Using data to build pratice None Final assigment Using data to build… Using data to build pratice None CHỦ-ĐỀ-9 -GIAO34 THOA-SÓNG Using data to build pratice Rock Crawling oooo None Using data to build pratice Total Duration by Age 6000 luận -… Using data to build pratice 5000 Axis Title 4000 3000 2000 1000 0-15 16-24 25-34 35-44 45-54 55-64 65 & over D/K 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 Table 1: Table representing the Total duration by age Duration 2021 2022 Age 2019 0-15 905 617 233 1755 3481 5454 5539 5190 4187 2970 2046 29772 3231 4933 4506 3862 3042 1875 834 22900 1049 1697 1551 1334 1147 737 337 8085 7761 12084 11596 10386 8376 5582 3217 60757 16-24 25-34 35-44 45-54 55-64 65 & over D/K Grand Total Grand Total Total Expenditure or Spends by Package The total expenses based on the tour package for all the three years is represented in Figure using the side bar chart None Quy định viết tiểu 11 None 11 Total Expenditure by Package 10000000000 20000000000 30000000000 40000000000 50000000000 60000000000 70000000000 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 Table 2: Table representing the Total expenditure by package of the tour Package Sum of Expenditure Independent 91226148954 2019 65082800237 2021 17618602579 2022 8524746138 Non-Independent 31336398100 2019 25690477450 11 2021 3574832365 2022 2071088284 The basic statistics information related to the expenditure such as, minimum, maximum, average, standard deviation and median is shown as follows: Minimum 0.00 Maximum 271642458.38 Average 2321715.81 Standard Deviation 5790081.761 Median 568774.54 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 11 Total Expenditure by Sex 60000000000 50000000000 40000000000 30000000000 20000000000 10000000000 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 Table 3: Table representing the Total expenditure by Sex Sex and Year 2019 Don’t know Female Male 2021 Don’t know Female Male 2022 Don’t know Female Male Sum of Expenditure 88584053560 86167750.97 34856443415 53641442395 20902662300 19424740.72 8324022722 12559214837 10354794852 33307374.14 4056551472 6264936006 Number of Visits by Tour Package and Year 11 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 Number of Visits by Tour Package and Year 25000 24179 20000 20217 15000 10000 5000 5593 6971 2683 1114 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 Table 4: Table representing the Number of Visits by Tour Package and Year Package 2019 Independent Non-Independent Count of Visits 29772 24179 5593 2021 Independent 22900 20217 Non-Independent 2683 2022 Independent Non-Independent 8085 6971 1114 11 Later, the basic statistics information is determined associated to the visits as follows: Minimum 0.00 Maximum 229656.02 Average 2927.777447 Standard Deviation 7079.35596 Median 1161.51 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 6000 5000 4000 3000 2000 1000 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 11 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 Table 5: Table representing the Number of visits by Age Age and Year 2019 0-15 Count of Visits 29772 905 16-24 25-34 35-44 45-54 55-64 65 & over 3481 5454 5539 5190 4187 2970 D/K 2021 2046 22900 0-15 16-24 617 3231 25-34 35-44 45-54 55-64 65 & over 4933 4506 3862 3042 1875 D/K 2022 834 8085 0-15 16-24 25-34 35-44 45-54 55-64 65 & over D/K 233 1049 1697 1551 1334 1147 737 337 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 10 11 Tour Purpose by Method of Travel (Mode) 14000 12000 10000 8000 6000 4000 2000 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 Table 6: Table representing the Tour Purpose by Method of Travel (Mode) Purpose and Year 2019 Business Holiday Count of Mode 29772 4877 12604 Miscellaneous Study Transit VFR 1794 448 925 9124 2021 Business Holiday Miscellaneous Study 22900 3639 4964 2301 535 Transit 588 VFR 10873 2022 Business Holiday Miscellaneous 8085 1089 2549 877 11 11 Study Transit 93 212 VFR 3265 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 Tour Purpose by Nights 15.81% 38.29% Business Holiday Miscellaneous Study Transit VFR 2.84% 1.77% 33.11% 8.18% 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 Table 7: Table representing the Tour Purpose by Nights Purpose Count of Nights Business 9605 Holiday 20117 Miscellaneous 4972 Study 1076 Transit 1725 VFR 23262 12 11 Furthermore, the basic statistics information associated to the night’s variable is determined as follows: Minimum 0.00 Maximum 2788350.22 Average 32965.67753 Standard Deviation 74553.68471 Median 9463.01 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 13 11 Number of Visits by UKOS 16000 14000 12000 10000 8000 6000 4000 2000 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 Table 8: Table representing the Number of Visits by UKOS UKOS Count of Visits Overseas residents 29732 2019 15959 2021 10097 2022 3676 UK residents 31025 2019 13813 2021 12803 14 11 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, for carrying 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 shows that the total count of length of the visit for all the three years (Refer Figure and Table 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 and Table 2, as it shows that the independent package has the highest expenditure By referring to the Figure 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 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 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 15 11 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 and Table for more details) 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 and Table 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 COVID19 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 16 11 17 11 References Seven effective marketing ideas for your travel agency (2020) TravelDailyNews International Available at: https://www.traveldailynews.com/post/seven-effective-marketing-ideas-for-yourtravel-agency (Accessed: December 13, 2022) Yousuf, M and Backer, E (2015) “A content analysis of visiting friends and relatives (VFR) Travel Research,” Journal of Hospitality and Tourism Management, 25, pp 1–10 Available at: https://doi.org/10.1016/j.jhtm.2015.07.003 18 More from: Using data to build pratice Trường Đại học… 119 documents Go to course Ftubanedited-2 - 15 cuối kì Using data to build pratice None Anh Prism - Tai lieu 2 34 thuc hanh tieng anh Using data to build pratice None Final assigment Using data to build… Using data to build pratice None CHỦ-ĐỀ-9 -GIAOTHOA-SÓNG Using data to build pratice None More from: Phạm Tuyen 81 Trường Đại học Ngoạ… Discover more 2022 - Assignment One - data Using data to build pratice None 2023 - Assignment Two - Assginment Using Data to Build Busine… None Recommended for you 124 Tieng anh a2 20cau full - Quy trình luân… Báo cáo khoa học 100% (1) KLE - BIG4 Practice 23 64 TEST accounting 100% (2) BÀI TẬP PBI CƠ BẢN - Bài tập PBI bản… Báo cáo khoa học 100% (2) Luận văn kế toán học 113 viện tài bằng… accounting 100% (4)