Report on Business Decision Making for Food for Friend Restaurant

This report delves into the business decision-making process for Food for Friend Restaurant, focusing on customer experience and market analysis. It outlines the objectives of understanding customer reviews and experiences through descriptive research methods, utilizing random sampling with 60 respondents. The report interprets data presented in charts and graphs to identify the impact of customer feedback. Key findings reveal increasing customer numbers and affordability, while suggesting improvements to the online booking system and the introduction of diverse cuisines. Trend line analysis is used to estimate future profits. The conclusion emphasizes the importance of business decisions in analyzing research results and the role of charts in understanding growth impacts. The analysis incorporates external references to support its findings and recommendations.

BUSINESS DECISION MAKING
Task 3.3

Cover Content
• Introduction
• Objectives
• Research methodology
• Data Interpretation
• Trend line
• Findings
• Suggestions
• Conclusion
• References

Introduction
Business decision is an essential aspects for every
researchers to analyse impacts of data those are collected
from various customers. Understanding of various sources of
data collection methods in a specific research about Food for
Friend restaurant.

Objective
The main objectives of conducting this research is to
collected various information about customers experience
and reviews those are visiting to the restaurant.

• The Descriptive methods is being used in order to make
research more specific.
• By the use of random sampling with 60 respondents the data is
been collected.
• Various types of charts and graphs is been use in order to
identify impacts of customers reviews.

Data interpretation
Q1: Do you regularly visiting to Food for Friend
restaurant?
Particular
Respondent in %
(a): Yes 40
(b): No 20
Total 60
Mean 30
Median 30
Mode 0

Continue...
(a): Yes (b): No
0
5
10
15
20
25
30
35
40
45
40
20 Respondent in %

Q2: Opening new restaurant in London market
will be beneficial for them ?
Particular Respondent in %
(a): Yes 45
(b): No 10
(c): Can't say 5

Continue...
(a): Yes (b): No (c): Can't say
0
5
10
15
20
25
30
35
40
45
50
45
10
5
Respondent in %

Q3: What is more attractive in Food for Friend
that can drawn customer toward them ?
Particular Respondent in %
(a): Multiple-cuisine 25
(b): Service deliver 15
(c): Surroundings 12
(d): Other 8

Continue...
25
15
12
8
(a): Multiple-cuisine
(b): Service deliver
(c): Surroundings
(d): Other

Trend Line Data
Year
Sales Net Profit
2017 7500 2100
2018 7650 2250
2019 7950 2500
2020 7850 2560

Continue...
1 2 3 4
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
7500 7650 7950 7850
2100 2250 2500 2560
Trend line
Sales
Linear (Sales)
Net Profit
Linear (Net Profit)

Findings
• From the complete research, it has been seen that
customers are increase at every year.
• Customers are able to afford price for cuisine those are
being offered to them.
• Online booking system require little improvement.

Suggestions
• Few other cuisine needs to introduces for outside
customer.
• By the help of trend line they are able to estimate total
profit in next coming year.
• Both online and offline payment would be acceptable.

Conclusion
From this presentation, it has been concluded that business
decision can help in analysing actual results from the
research conducted during the time. Use of charts would
guide them to analyse impacts on their growth and
sustainability.

References
Groebner, D. F and et. al., 2011. Business statistics: A
decision making approach. Prentice Hall/Pearson.
Ferrell, O. C. and Fraedrich, J., 2015. Business ethics:
Ethical decision making & cases. Nelson Education.
Tufféry, S., 2011. Data mining and statistics for decision
making (Vol. 2). Chichester: Wiley.

THANK YOU