COIT 20253 Assignment 3 Creating a Big Data Strategy

Objectives
This assessment relates to course learning outcomes 2, 3, 4, 5, 6 and 7 stated in the e-course
profile.
Assessment 3 is an individual assessment.
Please note that ALL submitted A2-reports are passed through a computerized copy detectionsystem
and it is extremely easy for teaching staff to identify copied or otherwise plagiarised work.
• Copying (plagiarism) can incur penalties ranging from deduction of marks to failing the
course or even exclusion from the University.
• Please ensure you are familiar with the Academic Misconduct Procedures, available from:
The tasks

In recent years, the ability of Business Intelligence (BI) technologies to provide historical, curre
nt, and predictive views of business operations based on the collection, extraction, and analysis
of business data to improve decision has been the basis of several studies. More recently, “Big
Data” and “Big Data Analytics” have further stirred the interest of researchers and practitioners
alike.You are required to conduct market research and write a report on how Big Data can be
used in Decision Support and Business Intelligence (DS&BI).
In this assignment you are required to write a research report focusing on one of the following
topics (which you have already chosen for presentation and have discussed with your tutor)
1. Big data and new decision-making techniques/models/approaches;
2. Organisational and cultural issues of the ‘Data-driven’ organisation;
3. Leveraging big Data for enhancing decision making and creating new business models
4. Social networks for exploiting knowledge or creating intelligence;
The report should be well researched. Business strategy should be mapped clearly to
business initiatives, objectives and tasks. You should able to define required technology stack
and required data and analytics architecture for Big data for DS&BI including the Master Data
Management (MDM). You should able to address advanced analytics requirements necessary
to support the business strategy they have selected. And the role social media plays in
organisations decision making process. You are required to discuss Big Data Value creation
process. The report should address the followings:
1. Identify, create and discuss Business Strategy for a Big Data use case
2. Identify and align business initiatives, objectives and tasks with the developed Business
Strategy.
3. Identify and discuss the required Technology Stack
4. Discussion on Data Analytics and MDM to support DS&BI
5. Discuss support of NoSQL for Big Data Analytics.
6. Discussion on different NoSQL Databases and its use in Big Data use case you have
chosen.
7. Role of Social media in organisation’s decision making process
8. Discussion on Big Data Value creation process.
The length of the assignment is 3000 words. You are required to do extensive reading of more
than 10 appropriate and relevant chosen topics in Big Data use case. Please do in-text
referencing of all chosen readings. Newspaper and magazine reports should be limited to a
maximum of 2. A comprehensive report covering all key aspects of the topic selected is
required. Report should be extremely well supported with relevant case studies. Any
assumptions made are clearly noted. The report structure should be clear, easy to read and
logical, directly addressing the question. Suitable headers should be used throughout the
report. Good use of graphics and charts should be made. No spelling, punctuation or
grammatical errors.
The Report (Important: The report makes up 100 marks – scaled to 40%)
You will produce a report that aims to explain your Decision making using Big Data as per the
layout and submission guidelines mentioned below.
Report Layout and SubmissionGuidelines
Students are advised to observe the word count limit to 3000 words.
• Title Cover Page with clear details of course title/name, student number/name, lecturer &tutor
• Introduction: Introduction must clearly define the aims of the report. Students should include
following in the introduction:
Students need to define what they are going to talk about. Students need to show what they are trying
to do with the selected use case —the topic – the direction. Students should show what they are going
to cover (and what they not, if required). Students need to give background information necessary to
understand the report. Introduction must identify the project objectives.
1. Identify, create and discuss Business Strategy for a Big Data use case
2. Identify and align business initiatives, objectives and tasks with the developed Business
Strategy.
3. Identify and discuss the required Technology Stack
4. Discussion on Data Analytics and MDM to support DS&BI
5. Discuss support of NoSQL for Big Data Analytics.
6. Discussion on different NoSQL Databases and its use in Big Data use case you have
chosen.
7. Role of Social media in organisation’s decision making process
8. Discussion on Big Data Value creation process.
. • Reflections and Conclusions
Present your reflections about the decision making using Big Data (e.g. achievement and
constraints).
Provide a brief summary of yourfindings
Assessment criteria – Assignment 2 marking guide
Marks for Assessment 2 will be allocated asfollows:
Assessment mark will be weighted to 40%.
Assessment Criteria
Marking Criteria: Weighted out of 40%
1. Introduction (5 marks)
2. Identify, create and discuss Business strategy for a Big Data use case. (10 marks)
3. Identify and align business initiatives, objectives and Tasks with the developedBusiness
Strategy. (10 marks)
4. Identify and discuss the required Technology Stack. (10 marks)
5. Discussion on Data Analytics and MDM to support DS&BI. (10 marks)
6. Discuss support of NoSQL for Big Data Analytics. (10 marks)
7. Discussion on different NoSQL Databases and its use in Big Data use case you have
chosen.(10 marks)
8. Role of Social media and human elements in organisations decision making process.(10
marks)
9. Discussion on Big Data Value creation process.(5 marks)
10. Conclusion (5 marks)
11. Quality of Information (5 marks)
12. Grammar Usage (5 marks)
13. References used (5 marks)