Page 1 of 6
Big Data Basics
INFS 5095
2017
Student's Assignment Guide
(Internal and External)
Management Proposal
Big Data Capabilities
50%
3000 words
Due: Sunday, 18 June 2017, 11.00pm
Late assignments: 20% per day deducted
Last updated: 27.5.17, 8.30am
Develop a proposal for management of a nominated organisation to
implement Big Data capabilities
Include a high level architecture and recommendations of which Big Data
technologies and methodologies should be introduced and why.Page 2 of 6
About this Assignment
This assignment is giving you practice in bringing together the knowledge you have acquired in this
course, applying it to a business need and being able to communicate that. Imagine that you are
presenting your proposal to the senior management team of your chosen organisation. Assume that
the audience know little about big data, but they want to make better use of their data which is why
you have been invited to submit a proposal.
However, the assignment is not just a sales pitch – you must demonstrate that you know what you
are talking about, back up your arguments with evidence, communicate new concepts and
demonstrate to the audience that you would be worth engaging.
You are being assessed on demonstrating your understanding and applying it, not just finding and
presenting information of ‘experts’. This assignment requires you to work things out yourself as well
as making use of research.
Nominated Organisations
Choose one of these:
Bunnings Hardware
McDonald’s
Salvation Army
Or choose your own, but check with the lecturer first.
Business priority
Identify a key business priority of your chosen organisation - this shows the audience you
understand their needs. You can use their strategic plan or annual report to identify this. Some
priorities will be issues or threats the organisation is facing, some will be opportunities or initiatives
they are pursuing. Big data is useful in both situations – especially to discover opportunities and
issues the organisation isn’t currently aware of.
The business priority should be significant enough to impact the organisation as a whole – to justify
why the organisation should invest in big data now and in an ongoing basis. Otherwise the risk is
your proposal would be seen as a once off solution to an existing opportunity or problem. See the
Microsoft resources around the questions ‘Is big data the right solution?’ and ‘Determining analytical
goals‘ in the topic ‘Big Data Initiatives - Implementation and Case Studies Part 1’.
Examples of business priorities can be found in the ‘Big Data Fundamentals’ topics.
Also assume that the chosen organisation has no big data capability currently. So don’t research
what they do actually have in place.
Big data approach
Outline the steps you would use to implement the big data capability. See the ‘Big data analytics
approach’ in the ‘Big Data Analytics - Overview and Challenges’ presentation and the ‘Big Data
Initiatives - Implementation and Case Studies’ topics (including discussions in the recordings). KeepPage 3 of 6
in mind the iterative and discovery nature of big data, plus that it can be an expensive undertaking
requiring many different skill sets.
Information and sources
Outline the information and information sources that would be needed to deliver on the big data
solution. They can be described in general terms such as ‘customer sentiment from social media’.
Also explain the categories of data (see ‘Big Data Analytics - Overview and Challenges’).
Big data technologies
Provide brief explanations of the technologies required to deliver the big data capability and an
example of each one technology (eg: processing of streaming data – Apache Spark). The technology
choices will depend on the data types of your information.
If you wish, use the Gartner Hype Cycles to recommend particular types of technologies, but don’t
focus on a specific tool or vendor (much like the first assignment). See the ‘Big Data Technologies –
Techniques’ presentations.
Big data visualisation examples
Provide two examples (screen shots) of big data visualisations to give the audience an indication of
what you would be providing them (or if you had built a prototype). Explain the visualisations. If you
wish, build your own visualisation and include that as one of the screenshots. The more relevant to
the business priority and organisation the better.
Big data adoption challenges and governance
Finally include recommendations for how to address the challenges of big data adoption and big
data analytics. See the ‘Big Data Fundamentals - Benefits, Challenges, Management and Skills’ and
‘Big Data Technologies - Information Quality and Data Governance’ and ‘Big Data Analytics -
Overview and Challenges‘ topics for ideas. The recommendations should also include
recommendations for governance, dealing with quality and uncertainty.
Marking criteria
The assignment will be marked on how well you cover each of the points:
Area Weighting
Justification for big data being the solution to the business priority 10%
Big data approach 20%
Information and sources 10%
Big data technologies 15%Page 4 of 6
Big data visualisation examples 10%
Big data adoption challenges and governance 15%
Referencing
Correct referencing as per UniSA guidelines
Quality of references
How recent references are
5%
Use of formal business or academic language 5%
Correct grammar and spelling 5%
Layout and professional presentation 5%
Keeping within the word limit 0.5 deducted for each
1% over/under
For each of these you will be given a rating of ‘Excellent’, ‘Good’, ‘Fair’, ‘Poor’ or ‘None’ (if the
section is missing). As a guide, if all ratings are ‘Excellent’ you would receive a High Distinction for
the assignment (between 85-100%) or if all ratings are ‘Good’ you would receive a Credit (between
65-74%).
The more you can back up your suggestions with research, examples, etc the higher mark you will
receive.
Presentation/structure
The structure should be in a logical format that flows well. As a minimum include a title page and
section headings. The title page is separate to the assignment cover page.
A sample template for the assignment is available on the course website. You don’t have to use this
template, you can come up with your own structure. For instance, the sample template includes a
Table of Contents and Executive Summary, you can leave these out if you want. Note: An Executive
Summary is different to an Introduction.
Since this is proposal for a business audience, it should be presented in a professional format making
it easy to read. The use of diagrams and graphs, particularly to show figures will earn more marks.
An efficient layout is also important but don’t spend too much time on making it look good and not
enough time on the content.
Using bullet points are OK occasionally but you'll need sentences for each point (ie. just a bullet
point list with no explanation isn’t suitable).
Word limit
3000 words +/- 10%. (2700 – 3300 words)
Marks will be deducted if the assignment is too short or too long. Keeping to a word limit requires a
focus on what the reader most needs to know.
These are included in the word count:Page 5 of 6
The 'body' of the assignment:
Headings
Direct quotes (you will gain more marks by writing using your own words than using lots
of direct quotes)
Summary/Executive Summary (if you chose to include one)
Diagram headings and captions
These are excluded:
Title page
Table of contents
References
Footnotes
Text within diagrams
Referencing
Referencing is important for assignments to: (a) expand your knowledge of the assignment topic and
(b) provide evidence to the claims you make and (c) demonstrate you know what you are talking
about to make a convincing proposal and (d) provide other examples or case studies
The general rule is if you are using information or data that is not of your own creation then you
need to acknowledge it. Not only is this for academic integrity but to add weight to your
recommendations – to show they are just not opinions.
This includes the screenshots, data you use and points taken from the presentations.
How many references?
That depends on how many points you are making. Generally, more is better because you have used
more sources to understand the topic and reinforce your points.
A minimum of 5 references is required. Just adding as many references as possible without using
them in the assignment won't earn maximum marks.
If you plagiarise (ie. copy from references and don't include it in quotes or include a reference) you
will be penalised – students have fail assignments for doing this!
We want your understanding on the topic, not copied words from experts – this only demonstrates
that you can research well, not apply your learning.
Reference quality
The type (quality) of references makes a difference and this is considered in the marks as well. Feel
free to use the readers and links from the lectures and Course Outline.
Avoid marketing/vendor sites and general websites - the quality is not assured because anyone can
get a website up regardless of their expertise and marketing material from software companies is
usually biased. The exception would be news sites when you want to report an event or where they
are the sole vendor of a technology.
Finding references by Googling them is a poor approach – try the library catalogue instead.Page 6 of 6
Reference recency
Since this area is a fast-moving area use references from the last 5 years. Consider if you were a
senior manager considering a review or proposal – would you trust a report that is using information
from 6 years ago? The exception is if the reference is one of the supplied readings/viewings for the
course.
Referencing style
Please use the Harvard style of referencing in-text citations. Refer to section on ‘Harvard Rules’ and
‘Harvard Guide’ here www.unisa.edu.au/referencing
References must be in English.
References must be available when the assignment is being marked.
Other
Do not write in the first person (“I”)
Use formal language – this is a report intended for business.
Good luck!