Business Decision Making

This presentation provides an overview of business decision making and its role in achieving sustainable development. It covers topics such as objectives, research methodology, data interpretation, findings, suggestions, and conclusion. References are also provided for further reading.

Business Decision Making
Task 3.3

Covered content
• Introduction
• Objective
• Research methodology
• Data interpretation
• Finding
• Suggestion
• Conclusion
• References

Introduction
Business decision making is the tool which is used by the
organisation in order to gain the sustainable development.
However, business decision making is the most effective
tool that are used by the organization in order to get the core
competencies.

Objective
• This is fundamental for the researcher to accumulate
information from consumer in regard of starting a new
restaurant business.
• The response and feedback would be collecting to
evaluate the perception of consumer.

Research Methodology
 This is using more descriptive method through which
researcher can focus over facts and logics in more effective
method.
 To eliminate the gap of literature which emerge in the work
of research.
 Enough graphs and charts i.e. utilised to presented the
accumulated data.
 A questionnaire has been filled from more than 60
responder.

Data Interpretation
Q1: Do you think that idea of
opening new branch of
Blackfriars restaurant is valuable
idea?
Particular
Respondent in %
(a): Yes 46
(b): No 14
Total 60
Mean 30
Median 30
Mode 0

Continue..
46
14
0
5
10
15
20
25
30
35
40
45
50
(a): Yes (b): No
Respondent in %
46
14
0
5
10
15
20
25
30
35
40
45
50
(a): Yes (b): No
Respondent in %

Cont.
Q2: Does this would be healthful for them to attract
supreme attention of local customers ?
Particular
Respondent in %
(a): Yes 35
(b): No 20
(c): Can't say 5
Total 60
Mean 12.5
Median 12.5
Mode 0

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

Cont.
Q3: Do you believe that the pricing
policies of Blackfriars restaurant is
high?
Particular
Respondent in %
(a): High 25
(b): Low 20
(c): Moderate 15
Total 60
Mean 17.5
Median 17.5
Mode 10

Pie-chart
35
20
5
0
5
10
15
20
25
30
35
40
Respondent in %
Chart Title
(a): Yes (b): No (c): Can't say
35
20
5
0
5
10
15
20
25
30
35
40
Respondent in %
Chart Title
(a): Yes (b): No (c): Can't say

Trend line
9354.0331
11692.54138
14615.67672
18269.5959
2806.20992 3367.451904 4040.942285 4849.130742
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
2017 2018 2019 2020
Chart Title
Series1 Series2 Linear (Series1) Linear (Series2)
9354.0331
11692.54138
14615.67672
18269.5959
2806.20992 3367.451904 4040.942285 4849.130742
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
2017 2018 2019 2020
Chart Title
Series1 Series2 Linear (Series1) Linear (Series2)

Findings
• Maximum people number are favoured in regard of new
venture of restaurant
• There should be constant increase in the service sale.
• The individuals does not perform to other condition for
making their orders.

Suggestion
• Maximum people number need to consist facilities of
entertainment.
• Online requirement of booking which should be given
priority
• Few new cuisine should be involved for external people.

Conclusion
From the above mentioned report, this can be said that the
Blackfriars restaurant can expand their operations in central
London as, there is a good opportunity for the firm in order
to enhance their proficiency in an effective manner. Apart
form that, the cited organisation requires to adopt various
things which could be used by the restaurant in order to gain
the sustainability.

References
Rothman, D. J., 2017. Strangers at the bedside: A history of
how law and bioethics transformed medical decision
making. Routledge.
Sethi, S. P. and Zhang, Q., 2012. Hierarchical decision
making in stochastic manufacturing systems. Springer
Science & Business Media.
Pourshahid, A., Richards, G. and Amyot, D., 2011, January.
Toward a goal-oriented, business intelligence decision-
making framework. In International Conference on E-
Technologies (pp. 100-115). Springer, Berlin,
Heidelberg.

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