The Assessment Task
After the internship in an organisation, you have been asked to submit a
report covering the below aspects to evaluate the training you have received.
This should be prepared as a business report to be presented to a panel of
managers who will be evaluating you.
1. Introduction to data analysis.
2. Examine the different types of data used in the organisation.
3. Critically analyse the trends that can be identified using different
data (Provide examples from the organisation)?
4. Evaluate the importance of data analysis in the competitive environment
and reflect on how you would use this data to make organisational decisions
(Provide examples from the industry which the organisation belongs to)
Learners are expected to use books, articles, newspapers, magazines and
various other literature sources in supporting the facts in this report.
Word
Limits
The
maximum
word limit
for this assignment is 1,500 (+10%) words.
Learning Outcomes
On
successful completion of this assessment,
you will be able to:
Learning Outcomes
a) Coherently collate, critically analyse and
evaluate a range of business data relating to the organization
and identify different business trends
b) Identify and evaluate the importance of data
analysis in highly competitive environments and recommend innovative and
entrepreneurial solutions.
Change Maker & Employability Skills
f). Organise, manage and demonstrate the demands
of self - learning, reflective learning and display self - awareness and
confidence in handling large volume of data to make organisational decisions
Your grade will depend on the extent
to which you meet these learning outcomes in the way relevant for this assessment.
Please
see the grading rubric on NILE for further details of the criteria against
which you will be assessed.
Assessment
Support
Specific
support sessions for this assessment will be provided by your tutor and
notified through NILE. You can also access individual support and guidance for
your assessments from Library and Learning Services. Visit the
Skills Hub
to
access this support and to discover the online support also available for assessments
and academic skills.
Academic
Integrity and Misconduct
Unless this is a group assessment,
the work you produce must be your own, with work taken from any
other source properly referenced and attributed. For the avoidance of doubt
this means that it is an infringement of academic integrity and, therefore,
academic misconduct to ask someone else to carry out all or some of the work
for you, whether paid or unpaid, or to use the work of another student whether
current or previously submitted.
For further guidance on
what
constitutes plagiarism, contract cheating or collusion, or any other
infringement of academic integrity, please read the University’s
Academic
Integrity and Misconduct Policy.
Also useful resources to help with
understanding academic integrity are available from
UNPAC
.
N.B. The penalties
for academic misconduct are severe and can include failing the assessment,
failing the module and expulsion from the university.
Assessment
Submission
To submit your work,
please go to the ‘Submit your work’ area on the NILE site and use the relevant
submission point to upload your report. The deadline for this is 11.59pm (UK
local time) on the date of submission. Please note that essays and text based reports
should be submitted as word documents and not PDFs or Mac files.
Written work submitted to TURNITIN
will be subject to anti-plagiarism detection software. Turnitin checks student work for possible
textual matches against internet available resources and its own proprietary
database. Work
When you upload your work correctly
to TURNITIN you will receive a receipt which is your record and proof of
submission. If your assessment is not
submitted to TURNITIN, rather than a receipt, you will see a green banner at
the top of the screen that denotes successful submission.
N.B
Work emailed directly to your tutor will not be marked.
For
first sits, if an item of assessment is submitted late and an
extension has not been granted, the following will apply:
·
Within one week of the original deadline –
work will be marked and returned with full feedback, and awarded a maximum bare
pass grade.
·
More than one week from original deadline –
grade achievable LG (L indicating late).
For
resits
there are no allowances for work submitted late and it will
be treated as a non-submission.
Please see the
Assessment
and Feedback Policy
for full information on the
processes related to assessment, grading and feedback, including anonymous
grading.
You will also find the generic grading criteria for achievement at
University Grading Criteria
. Also explained there are
the meanings of the various G grades at the bottom of the grading scale
including LG mentioned above.
The University of Northampton’s
general policy with regard to extensions is to be supportive of students who
have genuine difficulties, but not against pressures of work that could have
reasonably been anticipated.
For full details please refer to the
Extensions
Policy
. Extensions are
only available for first sits – they are not available for resits.
Mitigating
Circumstances
For guidance on Mitigating
circumstances please go to
Mitigating
Circumstances
where you will find detailed guidance on
the policy as well as guidance and the form for making an application.
Please note, however, that an
application to defer an assessment on the grounds of mitigating circumstances
should normally be made in advance of the submission deadline or examination
date.
Feedback and
Grades
These can be accessed through
clicking on the Feedback and Grades tab on NILE. Feedback will be provided by a
rubric with summary comments.
Learning Outcomes addressed through this
assignment
|
No
submission / no evidence
|
Fail
|
Pass
|
Commended
|
Merit
|
Distinction
|
Work
submitted is
|
of
no academic value / nothing submitted
|
Evidence
included or provided but missing in some very
important aspects.
|
of
satisfactory quality, demonstrating evidence of achieving the requirements of
the learning outcomes.
|
of
sound quality, demonstrative which is sufficient and appropriate to the task
or activity.
|
of
high quality, demonstrating evidence which is rigorous and convincing,
appropriate to the task or activity.
|
of
very high quality, demonstrating evidence which is strong, robust and consistent, appropriate to the task or
activity.
|
Successfully apply a
variety of academic theories relevant to the study
|
|
Answer
did not apply a sufficient variety of academic theories relevant to study.
|
Some
academic theories relevant to study have been used.
However, the theory application is highly descriptive and
generalised.
|
Included
a variety of academic theories relevant to study.
However,
theories are described rather than applied.
|
A
pplied a variety of academic theories
relevant to study.
Good application
of
theories and models within the different
sections.
|
A
pplied a variety of academic theories
relevant to study.
Excellent application
of
appropriate theories and models within the different
sections.
|
Coherently collate, critically analyse and evaluate a range
of business data relating to the organization and identify different business
trends
|
|
Fail
to critically analyse business data using a range of sources to identify
different trends.
|
Satisfactory
use of business data in identifying different trends in the organization. Highly
descriptive and generalised answer and lacks critical analysis.
|
Good
use of relevant and appropriate business data
in critically
analysing
to the organizational trends. A good range of data has been
used in identifying different trends in the organization. Some elements of
generalisation and descriptiveness can be seen.
|
Very
good use of relevant and appropriate business data
in critically
analysing
the organizational trends. A wide range of complex data has
been used and critical analysis has been done.
|
E
xcellent
level of identification and utilisation of relevant and appropriate business data
from a wide range and credible sources. Excellent
level of critical analysis has been in identifying different business trends.
|
Identify and
evaluate the importance of data analysis in highly competitive environments
and recommend innovative and entrepreneurial solutions.
|
|
Fail
to identify the importance of data analysis in competitive environment and
fail to recommend entrepreneurial solutions.
|
Satisfactorily
identified and evaluated importance of data analysis in competitive
environment and made some general recommendations.
|
Well
identified and evaluated importance of data analysis in competitive
environment and made some recommendations relevant to the selected
organization.
|
Very
good identification and evaluation of importance of data analysis in
competitive environment. Very good recommendations relevant to the selected
organization and entrepreneurial solutions.
|
Excellent
identification and evaluation of importance of data analysis in competitive
environment. Excellent recommendations relevant to the selected organization
and entrepreneurial solutions.
|
Organise,
manage and demonstrate the demands of self - learning, reflective learning
and display self - awareness and confidence in handling large volume of data
to make organisational decisions
|
|
Poor
or no display of self-learning, self-awareness abd reflection of handling
large volume of data in making organizational decisions.
|
Satisfactory
display of self-learning, self-awareness and reflection of handling large
volume of data in making organizational decisions.
|
Good
display of self-learning, self-awareness and reflection of handling large
volume of data in making organizational decisions.
|
Very
good display of self-learning, self-awareness and reflection of handling
large volume of data in making organizational decisions.
|
Excellent
display of self-learning, self-awareness and reflection of handling large
volume of data in making organizational decisions.
|
Academic /
Professional quality
|
Unsatisfactory
command of academic / professional conventions appropriate to the discipline.
No
citations or the list of references can be seen.
|
Poor
command of academic / professional conventions appropriate to the discipline.
Citations
have been added wrong and the list of references are wrong
|
Satisfactory
command of academic / professional conventions appropriate to the discipline.
Sufficient
amount of citations and references can be seen. Attempted to use Harvard
referencing but errors are visible.
|
Sound
command of academic / professional
conventions sufficient and appropriate to the discipline.
Sufficient
amount of citations and references can be seen. Attempted to use Harvard
referencing but minor errors are visible.
|
Rigorous
command of academic / professional conventions appropriate to the discipline.
Good
amount of citations and references can be seen. Attempted to use Harvard
referencing.
|
Authoritative command
of academic / professional conventions appropriate to the discipline.
Very
good amount of citations and references can be seen. Harvard referencing
style has been correctly used.
|