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BIG DATA FOR MANAGERS

9616, INDUSTRY BASED PROJECT 3:
BIG DATA FOR MANAGERS
Academic Analysis
KEY INFORMATION

Due date
Refer to the UC Unit Outline for the current teaching period

Weighting
10.5%

Relevant modules
1 à 3

Assessment format
Essay (.doc/.docx)

Length
2,500 words (+/- 10%)

Specific requirements
Includes journals, papers and books sourced from the library or other
university resources, Harvard or APA system, Journal Articles. General
rule of one resource per 150 words.

LEARNING OUTCOMES
On completion of this unit, students will be able to:
1. Access academic theories, frameworks and knowledge and apply them to a real-world problem.
Specifically, they will be able to:
a. Define the problem;
b. Gather and analyse the evidence; and
c. Demonstrate management.
GRADUATE ATTRIBUTES
1. UC graduates are professional – communicate effectively
1. UC graduates are professional – display initiative and drive, and use their organisation skills to plan
and manage their workload
1. UC graduates are professional – employ up-to-date and relevant knowledge and skills
1. UC graduates are professional – take pride in their professional and personal integrity
1. UC graduates are professional – use creativity, critical thinking, analysis and research skills to solve
theoretical and real-world problems
2. UC graduates are global citizens – adopt an informed and balanced approach across professional
and international boundaries
2. UC graduates are global citizens – think globally about issues in their profession
3. UC graduates are lifelong learners – adapt to complexity, ambiguity and change by being flexible and
keen to engage with new ideas
3. UC graduates are lifelong learners – be self-aware
3. UC graduates are lifelong learners – reflect on their own practice, updating and adapting their
knowledge and skills for continual professional and academic development.

9616, INDUSTRY BASED PROJECT 3:
BIG DATA FOR MANAGERS
Academic Analysis
BRIEF
You are required to select one of two options presented below to complete your academic analysis. Whilst the
analysis will require you to apply insights from all three modules, some options will require specific focus on
named modules.
ASSIGNMENT INFORMATION
Option 1: Industry Project Analysis
In this option, you will research and write about the business/organisation in your current/past industry project
at Dūcere. Name and briefly describe the organisation, then reflect on the potential obstacles and
opportunities for it to use, visualise and add value for itself and for its customers/stakeholders using Big Data.
Discuss some enabling technologies in implementing and managing these opportunities. Structure your
assignment by researching and citing academic theories, frameworks and knowledge – especially using the
7Vs of Big Data, the Big Data Business Maturity Index, and the Big Data Value Creation Model referenced in
your learning content – and then applying them to this business/organisation’s real-world problems.
Be sure to define the problem(s), gather and analyse evidence about these problems and how they might be
addressed, and finally demonstrate management by making evidence-based recommendations to the
organisation’s leadership.
Option 2: Case Studies
In this option you will research and write two short case studies on firms or organisations (large or small, local
or international) which are successfully using Big Data and which you have researched using primary and/or
secondary methods (either observation or by collecting other verifiable/strong data such as the case-study
company websites, specific media reporting and annual reports). One of these companies can be your own
company.
Name and briefly describe the organisations and then reflect on how each is using, visualising and adding
value for itself and for its customers/stakeholders using Big Data. Structure your assignment by researching
and citing academic theories, frameworks and knowledge – especially using the 7Vs of Big Data, the Big Data
Business Maturity Index, and the Big Data Value Creation Model referenced in your learning content – and
then demonstrating how these businesses/organisations apply them to their real-world problems.
Be sure to define the problem(s), gather and analyse evidence about these problems and how they are being
addressed by each company, and finally demonstrate management by making evidence-based
recommendations about changes each company could make to improve value creation. Demonstrate any
similarities or trends between the two companies. Also, provide some insights into emerging trends and how
would you would manage data in this dynamic environment.

9616, INDUSTRY BASED PROJECT 3:
BIG DATA FOR MANAGERS
Academic Analysis
CONSIDERATIONS
Upon review of my essay, have I demonstrated critical thinking aligned with my chosen analysis task option?
Specifically:
Have I Identified and defined the academic concepts related to the analysis task using current
academic literature?
Have I demonstrated an analysis of these relevant concepts and topics?
Have I demonstrated an ability to apply and integrate the relevant concepts and topics in the analysis;
have I provide evidence or examples?
Have I developed an argument and demonstrated understanding of differing points of view?
Have I demonstrated understandings of the relevance of the chosen concepts to the overall concept
of management?
Have I demonstrated understandings of considerations and implications for contemporary
management practice?
Did I produce a quality submission? Consider presentation, referencing and a balance between
academic and industry sources. Consult with your academic regarding appropriate formatting and
styling.

9616, INDUSTRY BASED PROJECT 3:
BIG DATA FOR MANAGERS
Academic Analysis
RUBRIC

CRITERIA
FAIL: < 50%
PASS: 50-64%
CREDIT: 65-74%
DISTINCTION:
75-84%

HIGH
DISTINCTION:

85%+
Academic concepts
that are the subject
of analysis have
been clearly outlined
and extensive,
relevant and current
reading on the topic
has been
demonstrated.

Define the problem
1
(
15%)

Few relevant
academic concepts
or readings have
been presented.

Some of the
academic concepts
that are the subject
of analysis have
been outlined and
relevant reading on
the topic has been
demonstrated.

Most of the
academic concepts
that are the subject
of analysis have
been outlined and
relevant and current
reading on the topic
has been
demonstrated.

Academic concepts
that are the subject
of analysis have
been clearly outlined
and relevant and
current reading on
the topic has been
demonstrated.

Define the problem
2
(
15%)

Few aspects of the
analysis task have
been addressed and
evidence has been
applied in an
inconsistent
manner.

Some aspects of the
analysis task have
been addressed and
some evidence has
been applied.

Most aspects of the
analysis task have
been addressed and
evidence has been
applied.

Most aspects of the
analysis task have
been addressed and
evidence has been
applied and
integrated
convincingly.

All aspects of the
analysis task have
been addressed in
depth and evidence
has been applied
and integrated
convincingly.

Gather and analyse
evidence 1
(15%)
No analysis of the
topic.

Demonstrated some
analysis of the topic.

Demonstrated a
thoughtful analysis
of the topic.

Demonstrated a
detailed analysis of
the topic.

Demonstrated a
detailed and
insightful analysis of
the topic.

Gather and analyse
evidence 2
(15%)
The argument
shows limited
understanding, or
analysis of differing
points of view.

Developed an
argument that
shows an
understanding of
the differing points
of view – there is
some evidence of
analysis.

Developed an
argument that
shows an
understanding and
analysis of the
differing points of
view.

Developed an
argument that
shows a high level
of understanding
and analysis of the
different points of
view.

Developed a
sophisticated
argument that
shows a high level
of understanding
and analysis of the
differing points of
view and the
implications of
these.

Gather and analyse
evidence 3
(10%)
Some sources are
appropriately
acknowledged with
consistent errors.

Most sources are
appropriately
acknowledged with
consistent errors.

Most sources are
appropriately
acknowledged –
some errors in the
referencing
style.

All sources are
appropriately
acknowledged –
minor errors in the
referencing style.

All sources are
appropriately
acknowledged using
the correct
referencing style.

Demonstrate
management 1
(15%)
The chosen division
concept has been
poorly related to the
overall concept of
management.

Related the chosen
division concept to
the overall concept
of management.

Related the chosen
division concept to
the overall concept
of management in a
consistent manner.

Related the chosen
division concept to
the overall concept
of management in a
comprehensive
manner.

Related the chosen
division concept to
the overall concept
of management in a
highly effective and
comprehensive
manner.

Demonstrate
management 2
(15%)
Have not
considered how the
differing values and
approaches within
management have
implications on
everyday
operations.

Considered how the
differing values or
approaches within
management have
implications on
everyday
operations.

Considered how the
differing values and
approaches within
management have
implications on
everyday
operations.

Considered how the
differing values and
approaches within
management have
implications on
everyday operations
and provided
reasoned thought
on this.

Considered how the
differing values and
approaches within
management have
implications on
everyday operations
and provided
insightful thought on
this.








BIG DATA FOR MANAGERS
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