The tasks

You are required to do market research and write a report on how Big Data can be used in Decision Support and Business Intelligence (DS&BI). You are required to select/ research a use case for Big Data Strategy. You are required to identify and create business strategy for Big Data use case. 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:

Identify, create and discuss Business Strategy for a Big Data use case
Identify and align business initiatives, objectives and Tasks with the developed Business Strategy.
Identify and discuss the required Technology Stack
Discussion on Data Analytics and MDM to support DS&BI
Discuss support of NoSQL for Big Data Analytics.
Discussion on different NoSQL Databases and its use in Big Data use case you have chosen.
Role of Social media in organisations decision making process
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 is clear, easy to read and logical, directly addressing the question. Suitable headers used throughout the report. Good use of graphics and charts. 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 Submission Guidelines

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.

Identify, create and discuss Business Strategy for a Big Data use case
Identify and align business initiatives, objectives and Tasks with the developed Business Strategy.
Identify and discuss the required Technology Stack
Discussion on Data Analytics and MDM to support DS&BI
Discuss support of NoSQL for Big Data Analytics.
Discussion on different NoSQL Databases and its use in Big Data use case you have chosen.
Role of Social media in organisations decision making process
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 your findings

References (must complete by showing 5 references with their related in-text citations)

Help

To help student members communicate, forums have been created for your use on the course Moodle website for Assessments 1 and 2. Please use them to help you work through your report.

Help on writing reports is contained in the Faculty Guide for Students – Chapter 4 – available here:

http://www.cqu.edu.au/ data/assets/pdf_file/0003/2289/Extract-of-Chapter-3.pdf

You may also benefit from a video supplied by the CQUniversity Academic Learning Centre available here: http://www.youtube.com/watch?v=J0v9ekxeoko

Assessment criteria – Assignment 2 marking guide

Marks for Assessment 2 will be allocated as follows:

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 developed Business 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)

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Posted on May 14, 2016Author TutorCategories Question, Questions