Data insights for Business Decisions

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Quality Assurance Record
Internal approval: Anh Nghiem, 25/01/2023
External approval: Name, date

Assignment Brief Academic Year 2022-2023
Module Code and
Title:		 MG413
Data insights for Business
Decisions		 Module Leader: Dr Christopher Ghogomu
Assignment No.
and Type:		 PR2 – Group Presentation
with supporting group log
and notes		 Assessment
Weighting:		 70%
Submission Date: In-class Presentation: w.c.
05/06/2022
Submission via VLE by
16/06/2023 before 2 pm		 Target Feedback
Date:		 3 weeks after submission
deadline
Note: Group members’ names and BNU IDs must be provided on the cover page. Each member
of the group must submit the same document/file from their own LSST Connect account. Grade
and feedback will not be allocated for any non-submissions from the group members.
You must submit one file (Word or PDF) that includes:
The slides of your group presentation;
Accompanying notes and supporting material;
A detailed group log, registering who has carried what work.
Assignment Task
In groups of no more than 5 people – prepare and deliver a 15-minute presentation and supporting
evidence based upon Modern Market Research & Data Analysis Techniques (Part 2 of this module).
You should use a specific sector / organisation(s) to help to illustrate your presentation – you may
choose to continue with the Financial Services Sector from the PR1 or look at other sectors like Retail,
Technology, Healthcare or Transport Services.
The presentation should cover the following tasks:
1. What is the role of quantitative research in modern marketing research and data analysis, with
specific emphasis on questionnaire design – with examples of good practice taken from your
chosen sector / organisations.

 

2. What is the role of qualitative research in modern marketing research and data analysis, with
specific emphasis on discussion guide design and use – with examples of good practice taken
from your chosen sector / organisations.
3. Set out what correlation and regression is and how it is used, with examples taken from chosen
sector / organisations.
4. Set out what time series is and how it is used, with examples taken from your chosen sector /
organisations.
5. Provide a critique of issues surrounding the analysis techniques in 3 and 4, with specific reference
to Big Data and its use in modern business decision making.
6. From course material and wider authenticated study set out how data could be collected and
used more effectively to make more informed business decisions.
Please see specific task requirements below.
This assignment has been designed to provide you with an opportunity to demonstrate your
achievement of the following module learning outcomes:
Plan, implement and critique a programme of research.
LO 2 Analyse and present information to support decision making.
LO 3 Apply various analytical tools and techniques to gain insight into a specific research issue.

 

Task requirements
You must submit one file (Word or PDF) that includes:
The slides of your group presentation;
Accompanying notes and supporting material;
A detailed group log, registering who has carried what work.
You should submit your slide deck, in a suitable format, supporting documentation and work diary, the
latter should set out which members of the group were responsible for which part of the work.
Your slide deck should have an agenda, introduction, clearly defined sections / headings and a
conclusion. Your sources should be cited on the slide and then fully referenced in a reference list
slide at the end of the presentation.
It is anticipated that you will use specific organisational examples as well as sector-specific
information.
You will also have the opportunity to work on your group presentations during seminar time and you
can get tutor feedback on a draft presentation in the week before your pre-arranged timeslot.
All group members should participate in the delivery of this group presentation.
This is a group presentation.
Please keep a record of group work meetings, including attendance and work allocation v work
done to the required standard. This should be submitted with the final report and slides.
Presentations will take place in a pre-arranged timeslot during normal tuition hours for this module.
Failure to attend or failure to be punctual (without good reason) will be treated as a non-submission.
Presentations will be timed.
You will receive verbal feedback immediately after your presentation so you may want to have a
pen and paper to hand to record some of this feedback.
You should use this feedback to make alteration to your final submission.
You will NOT be provided with your grade at this time but within a three-week period from the
submission deadline.
Referencing and research requirements
Please reference your work according to the Harvard style as defined in Cite Them Right Online
(http://www.citethemrightonline.com). This information is also available in book form: Pears, R. and
Shields, G. (2016) Cite them right: the essential reference guide. 10th ed. Basingstoke: Palgrave
Macmillan. Copies are available via the university library.
You are expected to provide at least three references to support your presentation.
How your work will be assessed

 

Submission details
This assignment should be submitted electronically.
Please use the relevant Turnitin submission point in the Upload My Assignment area on LSST Connect.
Please ensure that your work has been saved in an appropriate file format. Turnitin will only accept the
following file types: Microsoft Word, PowerPoint, PDF. Your file must also contain at least 20 words of
text, consist of fewer than 400 pages and be less than 40MB in size.
You can submit your work as many times as you like before the submission date. If you do submit your
work more than once, your earlier submission will be replaced by the most recent version.
Once you have submitted your work, you will receive a digital receipt as proof of submission, which will
be sent to your forwarded LSST email address. Please keep this receipt for future reference, along with
the original electronic copy of your assignment.
You are reminded of the University’s regulations on academic misconduct, which can be viewed
on the University website: https://bucks.ac.uk/__data/assets/pdf_file/0024/9546/Academic
Misconduct-Policy.pdf. In submitting your assignment, you are acknowledging that you have read
and understood these regulations.
Submission date and time
This assignment should be submitted before 14:00 UK time on the set date of submission.
Work that is submitted up to 10 working days beyond the submission date will be accepted as a late
submission. Late submissions will be marked, and the actual mark recorded but will be capped at the
pass mark (typically 40%), provided that the work is of a passing standard. Work submitted after this
period will not be marked and will be treated as a non-submission.
Feedback and marks for this assignment will be available three weeks after the submission deadline.

 

Your work will be assessed on the extent to which it demonstrates your achievement of the stated
learning outcomes for this assignment (see above) and against other key criteria, as defined in the
University’s institutional grading descriptors. This assignment will be marked according to the grading
descriptors for Level 4.
This being a group presentation you will be receiving a mark for the performance of the group (this mostly
relates to the structure and the content of your presentation).
Each member of the group will be questioned on the section of the presentation they have given.
Individual marks will be adjusted based upon whether their individual contribution of the knowledge and
understanding of their task and its link to whole project is appropriate for this level of study.

Quality Assurance Record
Internal approval: Anh Nghiem, 25/01/2023
External approval: Name, date

Fail Fail Pass Pass Pass Pass Pass
0-34 (F) –
Fail		 35-39 E –
Marginal fail		 40-49 (D) 50-59 (C) 60-69 (B) 70-79 (A) 80-100 (A+)
Not successful Below required
standard		 Satisfactory Good Very Good Excellent Outstanding
Knowledge and
Understanding
(30%)
This should include
evidence of:
Identifying the role
of quantitative
research in
modern marketing
research and data
analysis
Identifying the role
of qualitative
research in
modern marketing
research and data
analysis
Understanding
correlation,
regression and
time series
analysis		 The work
demonstrates a limited
and/or substantially
inaccurate or no
understanding of the
role of quantitative and
qualitative research in
modern marketing
research and data
analysis, correlation,
regression and time
series analysis.		 The work
demonstrates an
insufficient
understanding of the
role of quantitative
and qualitative
research in modern
marketing research
and data analysis,
correlation,
regression and time
series analysis.		 The work demonstrates
a basic understanding
of the role of
quantitative and
qualitative research in
modern marketing
research and data
analysis, correlation,
regression and time
series analysis.		 The work demonstrates
sound breadth and
depth understanding of
the role of quantitative
and qualitative research
in modern marketing
research and data
analysis, correlation,
regression and time
series analysis.		 The work demonstrates
refined understanding
of the role of
quantitative and
qualitative research in
modern marketing
research and data
analysis, correlation,
regression and time
series analysis.		 The work demonstrates
highly accomplished
understanding of the
role of quantitative and
qualitative research in
modern marketing
research and data
analysis, correlation,
regression and time
series analysis.		 The work demonstrates
exceptional
understanding of the
role of quantitative and
qualitative research in
modern marketing
research and data
analysis, correlation,
regression and time
series analysis.
Analysis and criticality
(20%)
This should include
evidence of:
Logic argument in
discussing the
connections of
concepts as
detailed in the
assignment tasks.
Use the range of
course and other
materials to
support the
arguments		 Work demonstrates a
limited or no ability to
develop lines of
argument and make
sound judgements of
discussing the
connections of
concepts as detailed
in the assignment
tasks.
Little or no use of
relevant and
appropriate sources to
support arguments		 Work demonstrates
an insufficient ability
to develop lines of
argument and make
some sound
judgements of
discussing the
connections of
concepts as detailed
in the assignment
tasks.
There is some limited
evidence of the
ability to select
evaluate and
comment on a limited
range of relevant and
appropriate sources
to support arguments		 Work demonstrates a
sufficient ability to
develop lines of
argument and make
largely sound
judgements of
discussing the
connections of
concepts as detailed in
the assignment tasks.
Use of a sufficient
range of relevant and
appropriate sources to
support arguments,
some of which are
independently selected		 Work demonstrates
well developed lines of
argument and sound
judgement of
discussing the
connections of
concepts as detailed in
the assignment tasks.
Use of a sound range
of relevant and
appropriate sources to
support arguments
some of which
independently selected		 Work demonstrates
well developed lines of
argument and
sophisticated
judgement of
discussing the
connections of
concepts as detailed in
the assignment tasks.
Use of a sophisticated
range of relevant and
appropriate sources to
support arguments
some of which are
independently selected		 Work demonstrates
highly accomplished
development of lines of
argument and
independent judgement
of discussing the
connections of
concepts as detailed in
the assignment tasks.
Use of a highly
accomplished range of
relevant and
appropriate sources to
support arguments
many of which are
independently selected		 Work demonstrates
exceptionally
accomplished
development of lines of
arguments as well as
sophisticated and
independent judgement
of discussing the
connections of
concepts as detailed in
the assignment tasks.
Use of an exceptional
range of relevant and
appropriate sources to
support arguments
many of which are
independently selected

 

Application, evaluation
and recommendation
(30%)
This should include
evidence of:
Providing
examples of good
practice taken
from course work
and exercises of
questionnaire
design, discussion
guide, correlation
and regression
and time series
Evaluating issues
surrounding the
analysis
techniques with
specific reference
to Big Data and its
use in modern
business decision
making
Recommending
how data could be
collected and
used more
effectively to make
more informed
business
decisions.		 The work
demonstrates a limited
or no ability in
applying and providing
examples of good
practice taken from
course work and
exercises of
questionnaire design,
discussion guide,
correlation and
regression and time
series, evaluating
issues surrounding the
analysis techniques
with specific reference
to Big Data and its use
in modern business
decision making,
recommending how
data could be
collected and used
more effectively to
make more informed
business decisions		 The work
demonstrates an
insufficient ability in
applying and
providing examples
of good practice
taken from course
work and exercises
of questionnaire
design, discussion
guide, correlation
and regression and
time series,
evaluating issues
surrounding the
analysis techniques
with specific
reference to Big Data
and its use in
modern business
decision making,
recommending how
data could be
collected and used
more effectively to
make more informed
business decisions		 The work demonstrates
a sufficient ability in
applying and providing
examples of good
practice taken from
course work and
exercises of
questionnaire design,
discussion guide,
correlation and
regression and time
series, evaluating
issues surrounding the
analysis techniques
with specific reference
to Big Data and its use
in modern business
decision making,
recommending how
data could be collected
and used more
effectively to make
more informed
business decisions		 The work demonstrates
an ability in applying
and providing examples
of good practice taken
from course work and
exercises of
questionnaire design,
discussion guide,
correlation and
regression and time
series, evaluating
issues surrounding the
analysis techniques
with specific reference
to Big Data and its use
in modern business
decision making,
recommending how
data could be collected
and used more
effectively to make
more informed
business decisions in a
consistent and informed
manner		 The work demonstrates
an ability in applying
and providing examples
of good practice taken
from course work and
exercises of
questionnaire design,
discussion guide,
correlation and
regression and time
series, evaluating
issues surrounding the
analysis techniques
with specific reference
to Big Data and its use
in modern business
decision making,
recommending how
data could be collected
and used more
effectively to make
more informed
business decisions in a
capable and effective
manner.		 The work demonstrates
an ability in applying
and providing examples
of good practice taken
from course work and
exercises of
questionnaire design,
discussion guide,
correlation and
regression and time
series, evaluating
issues surrounding the
analysis techniques
with specific reference
to Big Data and its use
in modern business
decision making,
recommending how
data could be collected
and used more
effectively to make
more informed
business decisions in a
highly accomplished
manner		 The work demonstrates
an ability in applying
and providing examples
of good practice taken
from course work and
exercises of
questionnaire design,
discussion guide,
correlation and
regression and time
series, evaluating
issues surrounding the
analysis techniques
with specific reference
to Big Data and its use
in modern business
decision making,
recommending how
data could be collected
and used more
effectively to make
more informed
business decisions
in exceptionally
accomplished manner
Transferable skills (20%)
This should include the
evidence of:
Presentation and
reference skills		 Demonstrates limited
or no ability in verbal
communication is
unclear (pace, pitch,
clarity and enthusiasm)
and no attempt in
presentation design
with no structure and
no attempt to support
with visual aids, all
texts.
Too many errors in
referencing or no
reference.		 Demonstrates an
insufficient ability in
verbal
communication
(pace, pitch, clarity
and enthusiasm) and
insufficient
presentation design
with no structure and
no attempt to support
with visual aids, all
texts.
Limited attempts to
adheres to rules of
Harvard Referencing
in text, many		 Demonstrates a
sufficient ability in verbal
communication (pace,
pitch, clarity and
enthusiasm) and basic
presentation design with
some attempt to provide
structure and may/may
not support with visual
aids.
Satisfactory adheres to
rules of Harvard
Referencing in text,
some elements missing
in reference list.		 Demonstrates
consistent and
confident ability in
verbal communication
(pace, pitch, clarity and
enthusiasm) and
presentation design
with some structure and
attempt to support with
visual aids.
Good adheres to rules
of Harvard Referencing
in in text and ref list.		 Demonstrates high
proficient ability in
verbal communication
(pace, pitch, clarity and
enthusiasm) and
sophisticated
presentation design
with clear structure and
support well with visual
aids.
Very good adheres to
rules of Harvard
Referencing in text and
in reference list		 Demonstrates highly
accomplished ability in
verbal communication
(pace, pitch, clarity and
enthusiasm) and
sophisticated
presentation design
with clear structure and
support with excellent
visual aids.
Excellent adheres to
rules of Harvard
Referencing in text and
in reference list.		 Demonstrates
exceptional ability in
verbal communication
(pace, pitch, clarity and
enthusiasm) and
sophisticated
presentation design
with clear structure and
support with
outstanding visual aids.
Outstanding adheres to
rules of Harvard
Referencing in text and
in reference list.

 

Professionalism Demonstrates limited
or no ability in
professionalism
(punctuality, time
management way
more exceeds 15
minutes or too short
presentation, dress
and inability to respond
and handle questions)		 elements missing in
reference list.
Demonstrates an
insufficient ability in
professionalism
(punctuality, time
management way
more exceeds 15
minutes or too short
presentation, dress
and inability to
respond and handle
questions)		 Demonstrates a
sufficient ability in
professionalism
(punctuality, time
management may
exceed 15 minutes or
too short presentation,
dress and ability to
respond and handle
questions to some
extents)		 Demonstrates
consistent and
confident ability in
professionalism
(punctuality, time
management may
exceed 15 minutes,
dress and ability to
respond and handle
questions reasonably)		 Demonstrates high
proficient ability in
professionalism
(punctuality time
management well in 15
minutes, dress and
ability to respond and
handle questions well)		 Demonstrates highly
accomplished ability in
professionalism
(punctuality time
management well in 15
minutes, dress and
ability to respond and
handle questions
excellently)		 Demonstrates
exceptional ability in
professionalism
(punctuality and time
management well in 15
minutes, dress and
outstanding ability to
respond and handle
questions)