general
lala12345
PAULBELGIUM.docRunning Head: PAUL BELGIUM 1
PAUL BELGIUM 2
Paul Belgium
Student Name:
Institution affiliated
Professor’s Name
Date
Paul Belgium
The Paul Belgium is a major and commonly known for its production of foodstuffs and also drinks that has a lot of restaurant s whose locations are all across globe. The Paul Belgium Company is widely known for the supply of different foods selection and also different types of drinks.
The company’s mission is to:
· Provide new quality products in different areas such as food, drinks and financial services.
· To deliver high quality products
· Offering fair and affordable prices
· Customers money value
The Paul Belgium Company have goals and targets set for the success of their business which begun seven years ago. Among their goals, they had a goal of becoming a sustainable business and also of conducting a large cut down on the carbon footprint of the company. Although, a good progress has been shown towards carbon footprint reduction in the previous years, it is a very slow process for a company to progress and become a sustainable business.
At the end of 2015, Paul Belgium Company gave a record of their revenues as $5 billion for that calendar year. The above numbers shows that the company is a major global food and drinks company (Cadario, 2016). The company caters for various consumers, as customers of Paul Belgium Company vary from the ages of 5, where there are kids’ selects the type of food and drinks they need. This is able to show that the Paul Belgium company deals with a wide range of goods in terms of foodstuffs and drinks. Therefore both the young and the elderly prefer the commodities offered by the company because it is one of the widely known companies in terms of its well known foods and the drinks they offer to their customers.
Data and analysis
0246810121416CaféFoodDrinksCoffee
Staff Data
Staff Data
The graph above gives a highlight of our first data pieces that was gathered by our group. For this data set, we searched each of the three food floors and found out how many of staff members were working in which sections of the shop. The data was catalogued so as to come up with findings of whether there might be any relationship between popular or less popular food sections and how many staff members are placed there (Mazidi & Speakman, 2017). Our discovery after the survey of some of the members of staff that were generally busy (in the food and drinks area),were more likely to have more of the members of staff being placed on those sections.
051015202530CaféFoodDrinkCoffeeParking frequencyNon parking frequency
The above graph give a reflection of the data of how many customers were using the parking lot of the Paul Belgium Company. The reason for the collection of data was so as to understand better whether using the Paul Belgium’s company parking lot would show a correction with the patterns of buying and the more popular sections of the company. The gathering of the data was done through asking the customers if at all they knew about the parking area or if they used it (Lopez, et al 2017). I had earlier known that the company had a parking area, but through the data analysis it was so clear that a lot of customers had no idea of whether there was any parking lot. Parking being one of the tiresome tasks, we believed it would be of a best interest to Paul Belgium Company. This would be an easier way for the consumers to buy what they needed without the hustle of finding a place of parking, thus increasing the revenue of the restaurant .
Rating Paul Belgium Company
In order to comprehend the customer value that Paul Belgium Company is trying to come up with, we did a survey of customer satisfaction. 97, which is our sample, enabled us to understand what the consumers think of the company and its commodities. Based on the system of rating going from terrible to excellent, we ask to see people’s idea of what they think of the Belgium Company in general and basically how they are the brand (Polsky et al, 2016) . Then we did a question that is more specific about the shop in Brussels and basically how they rate the shop.
05101520253035ExcelllentGoodAveragePoorTerrible
Customers Rating
Customers Rating
In doing this, we see the graph correction giving us a better understanding of the customer value of Paul Belgium company. On the first hand, through the observation of the excellent bars we deduce that there is an important positive customer satisfaction that regards to the company characteristics. In addition, there is no general customer disappointment because there is stabilization of the good and average bars. On the other hand, there is a negative leverage of the margins between the value of the consumer brand and the consumer view of the company regarding to the worst rating that is terrible (Cadario, 2016).
Purchases: frequency and relative frequency distribution
As the specificity of Paul Belgium Company, is the offer a products of wide variety range; this are the different types of foods and also different varieties of drinks and also services such as a restaurant. We wanted to know the reasons people have for buying or eating their foods. From a sample of 87 people, we inquired from the people if they were at Paul Belgium Company for the restaurant and its food and drink provision. The results we got were this:
0510152025303540CaféFoodDrinksCoffee
Purchases Frequency
Purchases Frequency
And the Frequency distributions:
The results give a show of two main factors:
First, very few people go to Paul Belgium company for the purchasing of take away food and drinks. Secondly, 30% which represents the higher percentage of consumers are taking the the foods and drinks just from the restaurant rather than home. This is a confirmation that the Paul Belgium specificity is their main strength.
Café, 16.1food, 23Drinks, 27.6Coffee, 29.9
FREQUENCY DISTRIBUTIONS
The above pie chart gives us a data reflection about how many percentages of males and females gives a contribution towards the sales of food in the Paul Belgium Company. The sample of observation is 127 and the pie chart records 47 male and 80 female. The reason why the female exceeds the male is that Paul Belgium Company is the food restaurant and our 3 day observation was that women visited often the company in order to get and see the new foodstuffs that arrive at the restaurant as compared to the men. The observation still gave us a record that the shoppers spend 10-25 minutes in the restaurant and during this time they would get hungry and focus on purchasing the food from the Paul Belgium company. This is the enough reason why the female percentage is more than that of the males.
The size sample of the graph is 40. The graph has some colored bars that shows the age of the customers that visited the Paul Belgium Company. This observation was made on Wednesday, Friday and Saturday. The observation results were that people between the ages of 20-40 visited the Paul Belgium company more than any other age group. Everyone is not able to visit the Paul Belgium company because it is a very expensive food and drink company. The ages between 20-40 had a classier look in terms of their standards, they often visited the company. These people usually comprised of couples that came to the Paul Belgium Company to spend some time during the lunch break. It is seen that the age group of people between 10-20 and 40-65 were very low.
The Paul Belgium Company opens from 10 am in the morning until 7.30 pm in the evening and also from Monday to Saturday.
The busiest working hour is 5 pm in the evening. The majority of people visit the Paul Belgium on weekend rather than weekdays. This is due to the fact that many people are free from work when it comes to business rather than weekdays. This makes the workers to be more active to perform fast services during the weekend rather on the weekdays due to the rush associated with the weekend.
Recommendation and conclusion
In conclusion, we have an analysis of the different data collected individually and at various times of the week. Our result gives us different opinions on the recommendations we got from the Paul Belgium Company. Our first recommendation is that the Paul Belgium Company to incorporate its parking area. Our research shows that the frequent users of the parking lot were there for the primary aim of using the food and drink company. We also found out a lot of people even had no idea of the existence of the parking lot of the Paul Belgium company, therefore our recommendation to this is that there should be a lot of communication to popularize its existence much more openly to their customers.
Another beneficial aspect to Paul Belgium Company is that there should be a division of the staff throughout the restaurant (Bleich, Wolfson, & Jarlenski, 2017). If we consider the data, it is evident that there are certain food sections that are more popular and our interview is clear enough to tell us that the staffs are assigned more on the busier sections but we still found areas where enhancement was necessary.
As the location of the restaurant is on the last building floor, we would recommend that the company should attract the consumers by exposing the restaurant to the passersby. These will lead to the sales increase. Their food scents could influence the consumers to purchase from their company and thus there will be increased sales and also profits made at the end of the day.
References
Bleich, Wolfson, & Jarlenski. (2017). Calorie changes in large chain restaurants from 2008 to 2015. Preventive Medicine, 100, 112-116.
Cadario, R. (2016). The impact of health claims and food deprivation levels on health risk perceptions of fast-food restaurants. Social Science & Medicine, 149, 130-134.
Lopez, Folta, Glenn, Lynskey, Patel, & Anzman-Frasca. (2017). Promoting healthier children's meals at quick-service and full-service restaurants: Results from a pilot and feasibility study. Appetite, 117, 91-97.
Mazidi, M., & Speakman, J. (2017). Higher densities of fast-food and full-service restaurants are not associated with obesity prevalence. The American Journal of Clinical Nutrition, The American journal of clinical nutrition, 31 May 2017.
Polsky, Jane Y., Moineddin, Rahim, Dunn, James R., Glazier, Richard H., & Booth, Gillian L. (2016). Absolute and relative densities of fast-food versus other restaurants in relation to weight status: Does restaurant mix matter? Preventive Medicine, 82, 28.
_1568556649.xls
Chart1
| Café | Café |
| Food | Food |
| Drink | Drink |
| Coffee | Coffee |
Sheet1
| Parking frequency | Non parking frequency | |
| Café | 12 | 20 |
| Food | 9 | 18 |
| Drink | 16 | 20 |
| Coffee | 13 | 26 |
| To resize chart data range, drag lower right corner of range. |
_1568556690.xls
Chart1
| Café |
| food |
| Drinks |
| Coffee |
Sheet1
| Sales | |
| Café | 16.1 |
| food | 23 |
| Drinks | 27.6 |
| Coffee | 29.9 |
_1568557194.xls
Chart1
| Excelllent |
| Good |
| Average |
| Poor |
| Terrible |
Sheet1
| Customers Rating | |
| Excelllent | 16 |
| Good | 32 |
| Average | 28 |
| Poor | 12 |
| Terrible | 9 |
| To resize chart data range, drag lower right corner of range. |
_1568556670.xls
Chart1
| Café |
| Food |
| Drinks |
| Coffee |
Sheet1
| Purchases Frequency | |
| Café | 32 |
| Food | 24 |
| Drinks | 36 |
| Coffee | 12 |
| To resize chart data range, drag lower right corner of range. |
_1568556484.xls
Chart1
| Male |
| Female |
Sheet1
| Sales | |
| Male | 47 |
| Female | 80 |
| To resize chart data range, drag lower right corner of range. |
_1568556624.xls
Chart1
| Café |
| Food |
| Drinks |
| Coffee |
Sheet1
| Staff Data | |
| Café | 12 |
| Food | 10 |
| Drinks | 15 |
| Coffee | 10 |
| To resize chart data range, drag lower right corner of range. |
_1568556481.xls
Chart1
| 10 |
| 10 to 20 |
| 20 to 40 |
| 40 to 65 |
Sheet1
| Age | |
| 10 | 7 |
| 10 to 20 | 12 |
| 20 to 40 | 30 |
| 40 to 65 | 23 |
| To resize chart data range, drag lower right corner of range. |
