Topic: Big Data Strategy Proposal

Description

You are required to develop a proposal for senior management of a selected organisation to implement a Big Data strategy (selected organisations you can choose from are attached) designed to meet a specific business priority. Your proposal should
include recommendations of Big Data technologies and suggest analytics plus and end-user
application. You should justify your recommendations and include a high-level architecture diagram
to show how the proposed technologies would fit together.
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, your proposal is not just a sales
pitch – you must demonstrate that you know what you are talking about, back up your arguments
with evidence and communicate your ideas effectively.

Please use the word template provided to complete the assessment.

Please follow the marking criteria on the final page of the pdf.

Use the referencing guide from : www.unisa.edu.au/referencing. You should use the Harvard UniSA referencing style

A minimum of 5 references is required with at least two academic sources, e.g. journal articles.

Assessment task details:
choose an organisation and the associated priority, whichever interests you the
most. Then develop a proposal for a Big Data strategy to address the chosen organisation’s key
priority. In developing your proposal consider the following:
• Organisations have been named to provide some context for your proposal, but these are
hypothetical scenarios. Please do not contact the organisations!
• You do not have to research what your chosen organisation does with their data. Assume
that they have no Big Data capability currently and develop your proposal accordingly.
• You are recommending what would need to be done, not actually doing it – i.e. you don’t
have to build any Big Data capacity or do Big Data analysis.
• You will need to make use of research. However, simply finding and presenting information
of ‘experts’ will not be enough to earn a good grade. You will need to work things out for
yourself and communicate your understanding of Big Data concepts and technologies.
Organisation Key Priority
ANZ Wanting to enhance fraud detection.
On The Run Deciding what is the optimal distribution of stores in
metropolitan Adelaide.
Black Dog Institute Needing to measure the impact on helping young
people overcome mental health challenges.
AFLW Wanting to increase ticket and merchandise sales.
Subway Needing to recruit staff who will stay and perform well.
Allied Express National freight company wanting to improve driver safety.
Bunnings Deciding which inventory to stock, based on seasonal
demand.
Table 1. Selected organisations and their key priorities
Understanding the priority:
Consider what questions would need to be answered to understand the key priority. See the
Microsoft resources around the questions ‘Is Big Data the right solution?’ and ‘Determining
analytical goals‘. A good starting point is here: https://msdn.microsoft.com/enus/library/dn749858.aspx
Note: These are Microsoft resources so naturally they suggest Microsoft technologies. You do not
have to use those technologies in your proposal.
Page 3 of 6
Data sources:
From the questions to be answered you need to identify the information needed and the data
sources that can provide that information. It may be that some of the data would not exist (that you
know of) so you would be recommending that it be collected.
Big Data technologies:
Once you know the data needed and where it would come from, decide which Big Data technologies
would be appropriate to capture, store, process, clean, share, visualise and use that data. This
should include suggested analytics and an end user application – would it be a predictive app or
something else?
Provide brief descriptions of the technologies required to deliver the Big Data capability and give an
example of one technology for each component of your strategy (e.g.: processing of streaming data
– Apache Spark). The technology choices will depend on the data types in data sources you are
recommending.
Don’t focus on a specific tool or vendor. You can use the Big Data/AI Landscape diagram from Week
2 to investigate and recommend technologies.
High-level architecture:
Your proposal should include a diagram of a high-level architecture showing the different
technologies and how they fit together. This, once again, is intended for a non-technical audience.
Refer to resources from Weeks 9 to 11 for examples.
Big Data visualisation examples:
Provide two examples (screen shots with appropriate referencing) 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. The more relevant to the business priority and organisation the better.
Importantly, these visualisations should be based on Big Data.
Benefits and adoption challenges:
Clearly articulate the benefits of the proposed strategy. You should also discuss any challenges of Big
Data adoption and Big Data analytics, including data quality, privacy and security, in general and
specific to your proposal. Include some recommendations of how your organisation could address
these challenges in the context of the strategy you are proposing.
Executive summary:
An executive summary is a short document or section of a document produced for business
purposes. It summarises a longer report so that readers can become acquainted with the contents of
the report without having to read it all.
Write your executive summary after you have finished your Big Data strategy proposal.

Type Of Service: Academic paper writing
Type Of assignment: Essay
Subject: IT & Technology
Pages/words: 11/3000
Number of sources: 5
Academic Level: Senior(College 4th year)
Paper Format: Harvard
Line Spacing: Double
Language style: AU English