ANL203e End-of-Course Assessment – January Semester 2018 Analytics for Decision-Making

ANL203e Copyright © 2018 Singapore University of Social Sciences (SUSS) Page 1 of 7
ECA – January Semester 2018
ANL203e
End-of-Course Assessment – January Semester 2018
Analytics for Decision-Making
__________________________________________________________________________________________
INSTRUCTIONS TO STUDENTS:
1. This End-of-Course Assessment paper comprises SEVEN (7) pages (including
the cover page).
2. You are to include the following particulars in your submission: Title, Your PI,
Your Name, and Submission Date.
3. Late submission will be subjected to mark-deduction scheme by the University.
IMPORTANT NOTE
ECA Submission Deadline: 14 March 2018, 12 noon

ANL203e Copyright © 2018 Singapore University of Social Sciences (SUSS) Page 2 of 7
ECA – January Semester 2018
ECA Submission Guidelines
Please follow the submission instructions stated below:
A – What Must Be Submitted
You are required to submit the following TWO (2) items for marking and grading:
A Report (you should submit this item first as it carries the highest weightage).
The Tableau Dashboard
Please verify your submissions after you have submitted the above TWO (2) items.
B – Submission Deadline
The TWO (2) items of Report, and Tableau Dashboard to be submitted by 12 noon on the
submission deadline.
You are allowed multiple submissions till the cut-off date for each of the TWO (2) items.
Late submission of any of the TWO (2) items will be subjected to mark-deduction scheme
by the University. Please refer to Section 5.2 Para 2.4 of the Student Handbook.
C – How the (2) Items Should Be Submitted
The Report: submit online to Canvas via TurnItIn (for plagiarism detection)
The Tableau Dashboard:
o submit online to Canvas
o Refer to Canvas L01 announcement page for the online tutorial/guide
Avoid using a public WiFi connection for submitting large video files. If you are using
public wireless (WiFi) connection (e.g. SG Wireless at public areas), you might encounter
a break in the connection when sending large files.

ANL203e Copyright © 2018 Singapore University of Social Sciences (SUSS) Page 3 of 7
ECA – January Semester 2018
D – Additional guidelines on file formatting are given as follows:

1. Report Please ensure that your Microsoft Word document is generated by
Microsoft Word 2007 or higher.
The report must be saved in .docx format.

 

2. Tableau
Dashboard
You can refer to Canvas L01 announcement page for the online
tutorial/guide, a month before the ECA cut-off date

E – Please be Aware of the Following:
Submission in hardcopy or any other means not given in the above guidelines will not be
accepted. You do not need to submit any other forms or cover sheets (e.g. form ET3) with your
ECA.
You are reminded that electronic transmission is not immediate. The network traffic may be
particularly heavy on the date of submission deadline and connections to the system cannot be
guaranteed. Hence, you are advised to submit your work early.
Canvas will allow you to
submit your work late but your work will be subjected to the mark-deduction scheme
. You
should therefore not jeopardise your course result by submitting your ECA at the last minute.
It is your responsibility to check and ensure that your files are successfully submitted to
Canvas.
F – Plagiarism and Collusion
Plagiarism and collusion are forms of cheating and are not acceptable in any form in a
student’s work, including this ECA. Plagiarism and collusion are taking work done by others
or work done together with others respectively and passing it off as your own. You can avoid
plagiarism by giving appropriate references when you use other people’s ideas, words or
pictures (including diagrams). Refer to the APA Manual if you need reminding about quoting
and referencing. You can avoid collusion by ensuring that your submission is based on your
own individual effort.
The electronic submission of your ECA will be screened by plagiarism detection software. For
more information about plagiarism and collusion, you should refer to the Student Handbook
(Section 5.2.1.3). You are reminded that SUSS takes a tough stance against plagiarism or
collusion. Serious cases will normally result in the student being referred to SUSS’s Student
Disciplinary Group. For other cases, significant mark penalties or expulsion from the course
will be imposed.

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ECA – January Semester 2018

Tableau Dashboard Evaluation Criteria

 

Format and Style of Dashboard
• Layout, clarity of text elements, colour blends, graphical enhancements
Clarity and Coherence
/6
/8

• Proper flow – title page, introduction, body, results, recommendations /
discussion points, conclusion/summary; quick to understand, free from
grammatical errors

Creativity
• Ability to use creative elements to value-add to the dashboard so as to
enhance understanding and clarity of difficult concepts
TOTAL
/6
/20

ANL203e Copyright © 2018 Singapore University of Social Sciences (SUSS) Page 5 of 7
ECA – January Semester 2018
SECTION A (Total 80 marks)
Question 1
(a) Based on the organisation of your choice, state the mission and vision of the organisation
and list
one (1) of its strategic objective. Make sure you name the selected organisation.
(5 marks)
(b) Based on the selected organisation in (a), outline
three (3) charts to be placed in a tactical
dashboard. Explain how the three charts will help the organisation to monitor whether it
has achieved its strategic objective.
(15 marks)
(c) Recommend a dashboard filter that will be useful to the organisation to drill down to
some particular aspects of the business that will enable the management to have a better
understanding of the status of the strategic objective.
(5 marks)
Using the Generic dataset (generic.xls) provided, construct the dashboard with the
proposed charts and filter in (b) and (c). Provide screenshots of the dashboard in your
report, and store the Tableau workbook into a single Tableau workbook file with
extracted data named “student_number.tbwx”. (Marks for the construction of the
dashboard and filter will be awarded in Section B of this paper.)

Variable Description Remarks
CustID ID of the customer
Age Age of the customer
Gender Gender of the customer:
F – Female, M – Male
Marital Status Marital status of the customer
Race Race of the customer
Date Date of Purchase You can change the dates range
accordingly.
Amount Amount they spent
Product Product bought:
P1, P2, P3, P4, P5
You can replace P1-P5 with the
products of the organisation that
you have selected. For example,
if the chosen organisation sells
automobile then P1 could be
Toyota, P2 could be Honda etc.
Revenue Revenue that was generated
from the sales.

(d) Discuss the principles that was used to build the dashboard in (c).
(5 marks)

ANL203e Copyright © 2018 Singapore University of Social Sciences (SUSS) Page 6 of 7
ECA – January Semester 2018
Question 2
(a) The organisation that you selected is keen to embark on a data mining project to build a
predictive model with the data that they have collected over the past few years to help
achieve its strategic objective stated in 1(a). Describe the data mining project based on
the CRISP-DM framework. Do not exceed 350 words.
(25 marks)
(b) List the pre-requisites and limitations of data mining so that the management have a better
understanding of data mining.
(5 marks)
Question 3
(a) The organisation that you selected had collected free format customer feedbacks over the
years and will like to do a text mining project to understand their customers better.
Explain in less than 200 words the text mining process.
(10 marks)
(b) Discuss briefly one Big Data application that will benefit the selected organisation (not
exceeding 150 words). Your description should cover the followings:
(i) Big Data objective
(ii) Big Data application
(iii) how the Big Data application will help the organisation achieve the strategic
objective in 1(a)
(10 marks)

ANL203e Copyright © 2018 Singapore University of Social Sciences (SUSS) Page 7 of 7
ECA – January Semester 2018
SECTION B (Total 20 marks)
Submit the Tableau Dashboard. See page 4 for the evaluation criteria.
(20 marks)
—– END OF ECA PAPER —–



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