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Tutorial work - Week 1 to 12 - Business intelligence - infs
2036 - in class quiz questions and answersuseful for revision
Business Intelligence (University of South Australia)
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INFS 2036 Business Intelligence 2016
Quiz Questions
Week 2 – Business Intelligence
(1)
(2)
(3)
(4)
(5)
List 3 benefits an organisation would receive from greater use of BI.
What are two non-technical components of BI that organisations should implement?
List the Gartner Hype Cycle Phases
What are two reasons that mobile BI hasn't been as successful as expected?
Private sector organisations making their data 'open' are loosing customers? True/False
Lecture 2 – Performance Management and Dashboard
Development
(1) A dashboard for performance indicators (KPI) would use a limited number of data sources? True/False
(2) A BI report that is produced each week for regional managers detailing sales is a:
- Management summary report
- Transaction report
The key to the answer is identifying the purpose/design of the BI report (refer to the reporting triangle in the
first question):
 It is produced each week – so not Ad-hoc (query) report
 It ‘details’ sales – so could be a Transaction Report
But it is produced for managers so is a Management Summary Report.
Note: If the question was: “A BI report detailing sales used regional managers each week is a:” – the answer
would be a Transaction Report.
(3) According to Brijs, which BI role could answer questions about the systems and places where the data
resides?
Source Expert (refer Brijs page 287)
It’s not the Application Expert because the question is about where the data resides (e.g. is stored), not how
it gets there.
(4) If a supermarket chain implemented a new inventory dashboard across all of its stores who would be the
Stakeholders affected (according to Brijs' Stakeholder Matrix definition)?
A stakeholder is “The person, department or role affected in a positive or negative way by the BI project”
(page 304). A Stakeholder is the broadest of the 4 roles Brijs outlines (Client or Sponsor, Customer and User
are the other roles) and so a Sponsor and User can also be Stakeholders.
It’s important to identify Stakeholders early on in a project, what their interests are, what the impact would
be on them and decide whether and how much they should be involved (i.e. they may have no involvement).
Consider also stakeholders external to the organization, especially those impacted/concerned by changes to
reputation to the organization as a result of the BI Project.
 Account Managers/purchasing officers/Ordering manager
 CEO and other executives – would have great visibility and greater strategic control
 Chief Financial Officer – would have greater viability to the overall business and each unit
 Controllers/people in the warehouses and distribution centres and stores – inventory reports on a
regular basis to the stores and are now saving the time of repeatedly calculating inventory.
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
Employees whose roles change or are made redundant
Lecture 4 – Business Intelligence Lifecycle
(1) Project management is an integral part of a BI project. Mention 3 reasons why this is the case in form of
bullet points.
-
Project planning is essential
You need a timeline and specific milestones, e.g., in form of a project charter
Risk management and cost analysis are must be considered
(2) In the practical last week we discussed threats and opportunities of UniSA and in the lecture we discussed
cost factors of a BI project. What are the cost factors related to UniSA? Mention one in each category.
Organization:
UniSA is a large organization. Depending on the end user, e.g., students, lecturer, program directors or upper
management, the costs will be different.
Data specific:
UniSA is collecting data internally, e.g., via learn online and shows them in form of a dashboard. Not much
costs will be involved here.
External data may involve costs. E.g. integration of data from the Department of Education and Training.
End users:
It depends on the end users. In the consumer group we might have students or lecturers who do not have
technical skills. Results in form of reports or dashboard must be easy to understand which requires the
development of a new interface (new costs).
Technology:
Lecture 5 – Business Intelligence Lifecycle
(1) What are the advantages of agile BI in comparison to traditional delivery methods?


Most important advantages is the involvement of the end users in the development. This ensures that the
delivered solution satisfies the requirements and needs of end users.
Short delivery cycles have the advantage that end users see results quickly and have an influence during the
development. This increases the trust of end users in the development of something new and increases the
acceptance of new technology.
(2) Introducing new tools or new ways on how things are done in an organisation can be challenging. What do
you suggest can be done to overcome the reluctance (不情願) of staff in adopting new technologies?




As mentioned above, an agile BI solution can help during the development phase.
Somebody from the senior management must be responsible for the success of a BI project and
overlook the project. (The IT department would be the wrong department to lead such a project).
Training and support in the beginning and continuous training and support during the lifetime of the
project.
Support hotline, online resources …
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Lecture 6 – Enterprise Data Mining
(1) Which of the following statements is correct about Business Intelligence and Analytics?
Business Intelligence and Business Analytics are synonyms.
Business Analytics can be regarded as a subcomponent of Business Intelligence.
Business Analytics combines BI aspects and data mining techniques.
Business Intelligence involves interactive analysis of data based on statistics, data mining and natural
language processing.
Why not the other answers?
- Business Intelligence and Business Analytics are synonyms: No because BI and BA have similar goals as
discussed in the lecture but they have a different focus.
- Business Analytics combines BI aspects and data mining techniques: No because BA focuses on the
analysis like data mining techniques and does not cover BI aspects.
- Business Intelligence involves interactive analysis of data based on statistics, data mining and natural
language processing: No because BA deals with interactive analysis, data mining and nature language
processing to support BI.
(2) What is Market Basket Analysis?
Market Basket Analysis is using data mining techniques to understand the purchase behaviour of customers
for the purpose of cross-selling and/or up-selling. In particular:
 Association: find products which are frequently bought together in order to identify possible products
for cross-selling (i.e. if you buy a certain group of items, you are more or less likely to buy another group
of items, e.g.: if you buy hot chips you may also buy a can of drink)
 Classification: find characteristics of customers buying premium brands
(3) What are the five steps in the data mining process?
1. Input data
2. Pre-processing
3. Data mining
4. Post-processing
5. Knowledge
Lecture 8 – Web Mining
(1) What are the three main areas of Web Mining?
Slide 7 in lecture slide Week 8:
(1) Web Structure Mining
(2) Web Content Mining (Opinion Mining)
(3) Web Usage Mining
(2) What are typical business applications for Link Analysis techniques (Web Structure Mining)?
Social Network Analysis
- Identify people in organisations (actors)
- Explore interactions and relationships among actors
- Identify communities (e.g., to target customer groups in marketing)
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Citation analysis of scholarly publications
-
Important in education sector but also research
Co-citations
Identify collaborations
Identify research communities with high impact
Page rank
-
Important for search
Identify impact of web sites
(3) What are typical business applications of Opinion Mining and Web Usage Mining?
Sentiment classification:
- Identify positive or negative statements
- Useful to analyse product reviews, e.g., identification of product issues or why consumers are not happy
with something.
- Summarise opinions about something, e.g., about an organization, products, topics. Rather than reading
all contributions, a summary could be generated which provides an overview.
- Comparison of different opinions, e.g. identify commonalities among consumers or contradictions.
Feature-Based Opinion Mining
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Identify and extract features that people like or dislike
Identify whether opinion about features is positive or negative or neutral
(4) Web Mining is one of the most complex applications of data mining.
That is correct.
This is wrong.
This statement is wrong. Web mining is not just an application of data mining but it is a discipline or specific
form of data mining. Reason: it deals with a cast amount of heterogeneous Web data which can be
structured and unstructured. New techniques are required for data collection and pre-processing as well as
new algorithm for identifying patterns that are unique in the Web content.
Lecture 9 – Data Visualisation
(1) Since there is so much data available, the more visualisations used in a dashboard the better it will be: True or
False?
False – the skill of the BI professional is to find the right visualisations not as many as possible.
(2) Visualisation in BI has become more common because:
 It uses the brain’s natural strengths in visual processing – True
 Technology to support visualisation has become more common – True (more visualization techniques)
 It saves times creating dashboards – False (while you can quickly create a visualisation it takes time to
determine the right visualisation, often more time than simply showing graphs and tables)
 Organisations have access to more data than they can look at – True
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Lecture 10 – Information Management
(1) Referring to Gartner's Pace-Layered Strategy, in the hospitality industry an online self-serve reservations system
would be:
 A system of record – True or False?
 A system of differentiation – True or False?
 A system of innovation – True or False?
(2) Explain your answer for the previous question
(3) Having an understanding of an organisation's information systems is important to BI because: (motivation)
 Those information systems may not yet have the data required to meet future information needs – True or
False?
 Data needed for BI should always be obtained from the organisation's current information systems – True or
False?
 How information systems are used to support BI can provide competitive advantage – True or False?
Lecture 11 – Data Warehouse
(1) What is a Data Warehouse? (Characteristic of Data Warehouse)
Data Warehousing is a tool to provide good support for business processes. It can generate ad-hoc reports,
identify patterns and predication of customer buying behaviour.
Data Warehousing is a subject-oriented, integrated, time-dimension and non-volatile collection of data in
support of management’s decision making.
Subject-Oriented: data is structured and analysed in a particular subject area. For example, “sales” can be a
particular subject.
Integrated: data integrated from multiple data sources.
Time-dimension: historical data is collected over year in order to analysis of trends and development.
Non-volatile: the data is retained permanently such as historical data, it will be altered.
(2) What are the current technology trends and new demands which need to be addressed by data warehouses?
- Data warehouse in cloud (characteristics)
(3) What is a “Data warehouse in the Cloud” and what are potential benefits for an organisation to use it?
Data warehouse in the Cloud is a database that runs on cloud platform, which can provide on-demand selfservice, broad network access, resource pooling, rapid elasticity and measured service.
It can reduce the entry barrier of data warehousing and the solutions can available quickly.
However, new problems are generated such as the privacy of sensitive data and technical feasibility of BI
requirements.
Lecture 12 - Privacy/Ethical/Legal Considerations
(1) How are the Australian Privacy Law relevant to information systems?
(From motivation) Large public datasets can be linked with internal data of organization, and it generated
problems on ownership and responsibility of the data.
(From Privacy – government response) Therefore Australian Privacy Law provides guidelines on how
organization and government agencies to handle personal information, which must be clearly expressed upto-data privacy policy explaining what kinds of personal information will be collected and how will be used
and disclosed, it further has to mention how can access, correct the information and make a privacy
complaint on it.
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(2) What does IAM stand for and what is it?
Identify & Access Management (IAM) is managing digital identities, including authentication – verify user
identify, authorisation – determine privileges, and auditing – record user activity.
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