Develop proposal to implement Big Data capabilities

Reference no: EM132332413 , Length: word count:3000

Assignment - Management Proposal Big Data Capabilities

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.

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.

Note: You are recommending what would need to be done, not actually doing it - ie. you don't have to build any big data capacity or do big data analysis.

Nominated Organisations - Choose one of these:

Bunnings Hardware
McDonald's
Salvation Army

Or choose your own, but check with the lecturer first. If you choose your own, select an organisation you're personally interested in. Please do not contact the organisation.

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 - specially 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.

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). Keep 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.

High Level Architecture - your proposal should include a diagram of a high level architecture showing the different technologies and how they fit together.

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. The visualisations should be clearly based on big data, not small data.

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.

Word limit - 3000 words +/- 10%. (2700 - 3300 words) and Please use the Harvard style of referencing in-text citations.

Attachment:- Assignment File - Big Data Report.rar

Reference no: EM132332413

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Reviews

len2332413

7/2/2019 11:44:56 PM

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: 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 and Text within diagrams. Note - Do not write in the first person (“I”) Use formal language – this is a report intended for business. Good luck!

len2332413

7/2/2019 11:44:48 PM

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 and that decision makers who use your recommendations would less at risk of a failed project. This includes the screenshots, data you use and points taken from the presentations.

len2332413

7/2/2019 11:44:41 PM

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. 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.

len2332413

7/2/2019 11:44:34 PM

The use of diagrams and graphs, particularly to show figures will earn more marks – visualisations such as infographics are growing in popularity as a way to explain complex concepts and interactions, but also to see key patterns and relationships – remember the saying “a picture is a 1000 words”. 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).

len2332413

7/2/2019 11:44:26 PM

Referencing - Good use of references to back up your points. References should be from quality and reliable sources - see the Assignment Guide for more information. Need to always include the sources of your information you have used in your assignment. In various places you've used information but not stated where it's from. References should be more recent - see the Assignment Guide for more information. Good use of stats to back up your points. Reference lists should be according to UniSA standards (eg: in alphabetical order, include all references, author surname first, 'viewed..' for url sources). In text referencing should be according to UniSA standards. When using text direct from reference source must enclose in quotes to indicate that it's not your own words.”

len2332413

7/2/2019 11:44:20 PM

“Use of formal business or academic language - At times it wasn't clear the point you were trying to make. One suggestion is to have someone else proof read your assignment before submitting it. Parts of your assignment were too technical for a business audience to understand. Need to make sure to explain all technical terms when first introducing them. You explained technical concepts well for a business audience. Avoid use of informal words and phrases - need to be specific about what you mean Layout and professional presentation. Layout could have been improved - important to present information professionally (eg: good use of headings, spacing and fonts.). Good and effective use of visuals/diagrams. More use of visuals or diagrams to explain the information you were trying to convey. Visuals/diagrams need to be less complex. Good to use figures but it's better to explain that in detail about how it can be done in more practical ways.

len2332413

7/2/2019 11:44:13 PM

Marking criteria - The assignment will be marked on how well you cover each of the points: Justification for big data being the solution to the business priority 10%, Big data approach 20%, Information and sources 10%, Big data technologies 15%, Big data visualisation examples 10%, Big data adoption challenges and governance 15%. Referencing - Correct referencing as per Uni guidelines, Quality of references and How recent references are 5%. Use of formal business or academic language 5%, Correct grammar and spelling 5%, Layout and professional presentation 5% and Keeping within the word limit 0.5 deducted for each 100 words over/under allowance.

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