Assignment title: Management
CIA2C06 Business Intelligence Applications
Temasek Polytechnic
School of Informatics & IT
Diploma in Business Intelligence & Analytics
AY 2016/2017 October Semester
Business Intelligence Applications (BIAP)
CIA2C06
BI Application 2CIA2C06 Business Intelligence Applications Page 1
Business Intelligence Applications
BI Application 2
Specifications
Objectives:
This project comprises of both individual and group components based on a Public Open
Data Sharing scenario. Your group are tasked to develop a Business Intelligence (BI)
application to highlight the importance and usefulness of Business Intelligence
application in the daily life to enable better decisions and actions. You are to build a BI
application using Open Data source. This assignment will be developed via Problem
Based Learning.
At the end of the assignment, you should be able to:
Describe the impact of BI on the use of Open Data
Describe the challenges faced in developing BI applications using Open Data
Analyse metrics used in BI applications
Design BI applications as part of a team
Use Qlikview to design BI applications
Practice teamwork skills
Present your findings and recommendations
A. Introduction
Below is the extract from the OPENGOV website, dated 21 April 2015. "Singapore Prime
Minister makes open data a Smart Nation priority".
http://www.opengovasia.com/articles/6455‐singapore‐to‐focus‐on‐opening‐up‐data‐in‐
smart‐nation‐plan‐says‐prime‐minister
… Another priority is to use data and technology to improve commuters' experience. Singapore is one of
the most densely populated countries in the world, and cannot build more and more roads, Prime Minister
Lee said. "We have got to find solutions, using technology, using data, to make our transport more
efficient" through information for commuters, better management of public transport and city planning,
he said.
Singapore plans to use Wi‐Fi hotspots to collect data on crowding on train platforms. "We are now
installing Wi‐Fi [on train platforms], so that from the Wi‐Fi hotspot we can tell how many people are
standing on which parts of the platform", he said.
A third focus is to share data and make it easier to use for citizens and businesses. Singapore has an open
data portal data.gov.sg with over 11,000 datasets, but will do more to release the data in reusable
formats. "We don't always release information in the best possible way. Our APIs are not as polished and
as standardised as they should be – sometimes there are no APIs", Prime Minister Lee said at the FoundersCIA2C06 Business Intelligence Applications Page 2
Forum Smart Nation reception yesterday evening.
"But we are working at this" so that Singapore can be a "secure data marketplace", where companies can
easily conduct user testing and people can build applications and services, he added.……
B. Tasks
Form a group of up to 4 members.
You and your teammates have been tasked to develop an interactive dashboard focus
on telling data stories that can make a difference to the lives of Singaporeans. e.g. how
data can help transport operators optimise planning of bus routes, how data can
produce a heatmap of connectivity speed across the island, and even the occupancy of
public gyms at various locations in Singapore.
Your produced dashboard will be used to promote the importance and usefulness of
business intelligence application using Open Data sources.
You MUST use at least THREEE datasets from Data.gov.sg. Please note that some
cleaning up of the data may be necessary.
As you would be working on a BI application for an unfamiliar business domain, your
team will need to make use of the problem based learning approach to help you identify
what you know and what you do not know, where and how to find out these unknowns.
The next section provides you with an overview of the problem based learning approach.
C. Problem Based Learning Approach
Rationale
Real world issues and problems are often ill‐structured requiring critical and creative
thinking. With the use of the Problem Based Learning approach, we want to suspend
the guessing game of, "What is the right answer the lecturer or tutor wants me to find?"
We want students to self‐ regulate your learning such that they generate their own
strategies for problem definition, information gathering, data‐analysis, comparing these
strategies against and sharing them with other students' strategies.
Roles
Tutors assume the role of facilitators rather than knowledge‐holders and disseminators;
while students assume the role of active problem‐solvers and decision‐makers rather
than passive listeners. More specifically, tutors will probe or challenge students'
thinking, monitor the learning and encourage the problem solving process to moveCIA2C06 Business Intelligence Applications Page 3
forward. Students being the owner of the learning process will need to be engaged and
participative in the discussions.
Process
You can use the 7 Stages of the PBL process to work on the case scenario. The stages
you will go through for the problem question will include:
1. Group Setting: You will group yourselves into groups of 5 members. At this stage,
you will introduce yourselves and establish ground rules. The roles of tutor and
learner will be defined.
2. Problem Identification: The problem question is ill‐structured in nature, and does
not always result in a single right answer. Within your group you will identify and
clarify the problem. The result of this stage will be a description of the problem.
3. Idea Generation: Your task would be to discuss within your group the possible
ideas to understand and solve the problem.
4. Learning Issues: At this stage, your group will need to determine what is to be
learnt in order to understand or solve the problem. You will generate learning
issues and action plan. You will then distribute and conduct the necessary
research and action plans.
5. Self‐Directed Learning: You will conduct research based on your learning action
plan. You will prepare and summarize information for peer teaching later.
6. Synthesis and Application: You will come as a group to:
Evaluate sources for credibility, validity, reliability, currency and relevance.
Conduct Peer Teaching
Apply relevant knowledge to the problem
Develop and research more learning issues, if necessary
Discuss, develop, justify and explain your solutionCIA2C06 Business Intelligence Applications Page 4
7. Reflection: As a group you will summarize the knowledge and skills learnt. Reflect
on the learning, group functioning and performance of self and others. You will
conduct self and peer evaluation.
D. Deliverables
1. Report
The group will submit one report which includes the following:
What problem(s) you discovered in original data.
How these problems impact the dashboard's ability.
Strategies used to resolve the identified problems.
FILA chart for PBL.
Screenshot of SAS EG project depicting how data was prepared.
Screenshots of Qlikview dashboard with accompanying written
explanation of how the dashboard is able to address the group problem.
All research references used in the reports and in the PBL sessions must
be reflected in the report bibliography.
Each individual in the group will also submit an individual report which includes
the following:
Problems you encountered when working on the datasets and your
strategies for overcoming these problems.
Data field(s) you have identified to support your objectives and your
justifications for selecting the field(s).
Screenshots of Qlikview dashboard with accompanying written
explanation of how the dashboard is able to address the individual's
problem.
Excerpt of peer teaching materials (such as documents, notes, slides).
Self‐reflection on the learning experience in terms of what you have
gained from the PBL sessions and what you have discovered of your own
learning style.
The group report should not exceed 6 pages (excluding cover page).
Individual reports should not exceed 4 pages each.
The individual reports should be appended to the back of the group report.
Please use the cover page provided in Appendix 1.CIA2C06 Business Intelligence Applications Page 5
2. Video Presentation
The presentation will have both group and individual component.
You are expected to explain the insights gathered from your analysis. At the end
of the presentation, there will be a Q&A session where you are required to
answer the questions asked by your tutor or peers.
D. Component Weightages
This assignment contributes to 50% of your final subject grade. The breakdown is as
follows:
Component Maximum Marks Weightage
Individual Group Individual Group
Report &
Dashboard 75 25 20% 10%
Presentation 25 25 10% 10%
The grading criteria for the dashboard, report as well as presentation video can be
found in the section G.
E. Method of Submission and Deadline
There are two submissions for this assignment.
1. Interim submission of the approach for the BI Application. Submission maybe
in the form of storyboard/report and explain the visualization of the selected
data sources.
The interim submission must be submitted electronically to OLIVE before 16th
January 2017, Monday, 12.00 noon.
2. Final report submission. The assignment report must be in a format readable
by MS Word 2010. It should be labeled as BIAP_A2_[your lab group]_[your group
leader's name] (E.g. BIAP_A2_P01_xxxxx.docx)
This report must be submitted electronically to OLIVE before 20th February 2017,
12.00 noon.CIA2C06 Business Intelligence Applications Page 6
Multiple submissions, as long as done before the submission deadline, are allowed.
Only the latest submission will be graded, all earlier submissions will be considered as
void.
F. Important Notes
Please ensure that you compress the screenshots included in your report. A file size
limit of 5 MB has been set for this subject. Attaching uncompressed screenshots in your
report would very likely cause your report to exceed this limit.
You may also need to compress the screenshots you have attached in your report.
Please refer to https://support.office.com/en‐us/article/Reduce‐the‐file‐size‐of‐a‐
picture‐9d8de420‐3beb‐4481‐98e9‐88efa4e2fd95 for step‐by‐step guide on how to
compress pictures in Word.
Refer to the school guidelines on penalty for late submissions below.
Guidelines on late submissions
late and < 1 day: 10% deduction from absolute mark given for the assignment e.g
75 marks (100 marks max) => 65 marks (10% of 100 marks)
late >=1 and <2 days: 20% deduction from absolute mark
late >=2 days: 0 marks awardedCIA2C06 Business Intelligence Applications Page 7
G. Grading Criteria
Grading Criteria for Report
Individual Work
Criteria Max
Marks
Excellent Good Average Poor
Data
Preparation
(Group –
Report)
15 All problems with
data identified and
documented.
Data cleansed and
prepared thoroughly
for analysis.
Screenshot clearly
showed correct EG
processes used.
Most of the problems
with data identified
and documented.
Data cleansed and
prepared reasonably
for analysis.
Screenshot showed
reasonably correct EG
processes used.
Some of the problems
with data identified
and documented.
Data cleansed and
prepared partially for
analysis.
Screenshot showed
partially correct EG
processes used.
Few / None of the
problems with data
identified and
documented.
Data not cleansed and
prepared for analysis.
Incorrect EG
processes used /
missing screenshot.
PBL Process
(Individual –
Report)
15 Information is
accurately classified
using the FILA chart
all the time.
Clear grouping of
information in themes
all the time.
FILA chart is well
developed with
continuous reviews.
Information is
accurately classified
using the FILA chart
with some
inaccuracies.
Grouping of
information in themes
is evident but not
organised.
FILA chart is
reasonably developed
with some reviews.
Information is
classified using the
FILA chart with many
inaccuracies.
Grouping of
information is evident
but not organised.
FILA chart is
developed with
minimal reviews.
Information is
inaccurately classified
using the FILA chart.
No grouping of
information in
themes.
FILA chart is static
without development
or reviews.CIA2C06 Business Intelligence Applications Page 8
Individual Work
Criteria Max
Marks
Excellent Good Average Poor
Documentati
on of
problems and
resolution;
choice of
data field(s).
(Individual –
Report)
10 All problems
encountered
properly
documented; correct
strategies adopted to
overcome problems.
All the data fields
selected were
relevant to address
the business
questions.
Most problems
encountered
documented;
strategies adopted to
overcome problems
mostly appropriate.
Most of the data
fields selected were
relevant to address
the business
questions.
Some problems
encountered
documented;
strategies adopted to
overcome problems
somewhat
appropriate.
Some of the data
fields selected were
relevant to address
the business
questions.
Few / None of
problems
encountered
documented;
inappropriate
strategies used to
overcome problem
or problem not
resolved.
Few/None of the
data fields selected
were relevant to
address the business
questions.
Peer
Teaching
(Individual –
Report)
10 Student shows strong
evidence of peer
teaching and sharing.
Student shows good
evidence of peer
teaching and sharing.
Student shows some
evidence of peer
teaching and sharing.
Student shows
minimal or no
evidence of peer
teaching and sharing.CIA2C06 Business Intelligence Applications Page 9
Individual Work
Criteria Max
Marks
Excellent Good Average Poor
Self –
Reflection
(Individual –
Report)
10 Individual provided in
depth reflection that
analyses how the
experience
contributed to
individual
understanding of self,
others, and/or course
concepts.
Individual provided
reasonably good
reflection that
analyses how the
experience
contributed to
individual
understanding of self,
others and/or course
concepts.
Individual attempted
to analyse how the
experience
contributed to
individual
understanding of self,
others, and/or course
concepts.
Reflection does not
go beyond
description of the
learning
experience(s).CIA2C06 Business Intelligence Applications Page 10
Grading Criteria for Dashboard
Individual Work
Criteria Max
Marks
Excellent Good Average Poor
BI Dashboard
(Dashboard ‐
Group)
10 All data visualizations
used are relevant to
address the business
questions.
All the metrics were
aligned to the
business questions.
Most of the data
visualizations used
are relevant to
address the business
questions.
Most of the metrics
were aligned to the
business questions.
Some of the data
visualizations used
are relevant to
address the business
questions.
Some of the metrics
were aligned to the
business questions.
Few/None of the data
visualizations used
are relevant to
address the business
questions.
Few/None of the
metrics were aligned
to the business
questions.
BI Dashboard
(Dashboard ‐
Individual)
30 All data visualizations
used are relevant to
address the business
questions.
All the metrics were
aligned to the
business questions.
Most of the data
visualizations used
are relevant to
address the business
questions.
Most of the metrics
were aligned to the
business questions.
Some of the data
visualizations used
are relevant to
address the business
questions.
Some of the metrics
were aligned to the
business questions.
Few/None of the data
visualizations used
are relevant to
address the business
questions.
Few/None of the
metrics were aligned
to the business
questions.CIA2C06 Business Intelligence Applications Page 11
Grading Criteria for Presentation
Individual Work
Criteria Max
Marks
Excellent Good Average Poor
Presentation
(Presentation
‐ Group)
25 Presentation was well
delivered, organised
and kept to the time
allocated.
Presentation
materials were
excellent.
Presentation was well
delivered, organised
but has time
management issues.
Presentation
materials were of
good quality.
Presentation was
adequately delivered.
Presentation
materials were
adequate.
Presentation was
poorly delivered.
Presentation
materials were
inadequate.
Presentation
(Presentation
‐ Individual)
25 Individual was able to
provide well‐thought
out answers specific
to the questions
raised.
Individual was able to
answer questions but
lack in relevance
sometimes.
Individual had
difficulty in answering
questions raised.
Individual was unable
to answer questions
raised.CIA2C06 Business Intelligence Applications
Appendix 1: Cover page for report
Temasek Polytechnic
School of Informatics & IT
Diploma in Business Intelligence & Analytics
AY 2016/2017 October Semester
Business Intelligence Applications (BIAP)
CIA2C06
BI Application 2
Report
Name (As in Class Register) Admin Number Lab Group