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COIT 20253 Assignment 3 Creating a Big Data Strategy Due Date: Monday, 28 May 2018, 11:45 PM Weighting 40% Length 3000 words (+/- 10%) Objectives This assessment relates to course learning outcomes 2,...

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COIT 20253 Assignment 3 Creating a Big Data Strategy Due Date:
Monday, 28 May 2018, 11:45 PM
Weighting 40%
Length 3000 words (+/- 10%) Objectives
This assessment relates to course learning outcomes 2, 3, 4, 5, 6 and 7 stated in the unit profile. Assessment
3 is an individual assessment.
Please note that ALL submitted A3-reports are passed through a computerized copy detection system
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:
http:
policy.cqu.edu.au/Policy/policy_file.do?policyid=1244
The tasks

In recent years, the ability of Business Intelligence (BI) technologies to provide historical, cu
e 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 sti
ed the interest of researchers and practitioners alike. You are required to conduct market
esearch 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
ole 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
http:
policy.cqu.edu.au/Policy/policy_file.do?policyid=1244
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
eadings. 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
elevant case studies. Any assumptions made are clearly noted. The report structure should be clear, easy to
ead 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 e
ors.

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 numbe
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
ief summary of your findings
• References (must complete by showing 10 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)
http:
www.cqu.edu.au/__data/assets/pdf_file/0003/2289/Extract-of-Chapter-3.pdf
http:
www.youtube.com/watch?v=J0v9ekxeoko
10. Conclusion (5 marks)

11. Quality of Information (5 marks)

12. Grammar Usage (5 marks)

13. References used (5 marks)
    COIT 20253 Assignment 3 Creating a Big Data Strategy Due Date: Monday, 28 May 2018, 11:45 PM
    The tasks
    The Report (Important: The report makes up 100 marks - scaled to 40%)
    Help
    Assessment criteria - Assignment 2 marking guide
    Assessment mark will be weighted to 40%.
    Marking Criteria: Weighted out of 40%
Answered Same Day Apr 30, 2020 COIT20253 Central Queensland University

Solution

Ahmedali answered on May 26 2020
133 Votes
ASSIGNMENT 3 CREATING A BIG DATA STRATEGY
Executive Summary
This study is helpful to represent the significance of Big data in business operations. Business strategy is easily managed with the implementation of Big data in workplace so that organisational activity can be easily ca
ied out. With the help of MDM, Delta can evolve the traditional mode of business operation is upgraded and it provides significant support to the business organisations in order to maintain record of its regular operations. This study is helpful to understand significance of Big data while implementing it inside organisational process.
Table of Contents
Introduction    3
1. Identify, create and discuss Business Strategy for a Big Data use case    3
2. Identify and align business initiatives, objectives and tasks with the developed Business Strategy    5
3. Identify and discuss the required Technology Stack    6
4. Discussion on Data Analytics and MDM to support DS & BI    6
5. Discuss support of NoSQL for Big Data Analytics    7
Q5. Discuss support of NoSQL for Big Data Analytics    8
6. Discussion on different NoSQL Databases and its use in Big Data use case    9
7. Role of Social media in organisation's decision making process    10
8. Discussion on Big Data Value creation process    11
Conclusion    12
References    13
Introduction
Big data is largely transforming the existing standard of business operation by providing a group of opportunities in the context of business performance. Technical advancements play crucial role in order to enhance the level of operations of Delta with the help of Big data implementation. This study is helpful to represent the significance of Big data in business operations. In recent time, business strategy is easily managed with the implementation of Big data in workplace so that organisational activity can be easily ca
ied out. In addition to this, the study is helpful to analyse the role of social media plays in organisations decision making process.
1. Identify, create and discuss Business Strategy for a Big Data use case
The impact of successful Big data implementation is rising rapidly. The potential level of implementing Big data is so high and for this particular reason business organisations are more inclined to adopt it for business operations. According to Ba
ett et al. (2013, p.170), it is evident that Big Data Use Case framework is extremely helpful for make organizations understand about its role in business operations. The framework is divided in three basic segments as, Customer, Product and Organization.
    1
    · Data Exploration
    · It provides information regarding enterprises whole data
· It offers portal that store more data
· It also offers platform for Proof of Concepts (POC)
    2
    Customer 360 degree View
    · It is helpful for Customer Relationship Management (CRM) and Master Device Management (MDM)
· It connects social media to analyse the latest trend so that comprehensive strategy can be developed
· It emphasises on customer engagement so that effective relationship can be developed with customers
    3
    System Analysis
    · It is helpful to reduce cost of the entire process of data recording and also enhance efficiency to improve data storage using machines
· It can able to monitor and analyse the report on real time basis so more adequate information can be generated
    4
    Data Augmentation
    · With the help of technical advancements, business organisation can able to store unstructured data in structured way
· It has cost effective storage and in the meantime it offers cognitive solutions
    5
    Security Intelligence Extension
    · Event log and packet data-level analysis
· It can able to threats inside the system and then take decisions in order to prevent the threats inside the system
Strategy of Big Data Application
The fundamental objective of using Big data is to track down the process of business operations. As opined by Chen et al. (2014, p.172), in the era of technical advancements both sources of data and volume of data need to be store in digital form so that it can be accessed at any time. The Big data technology is extremely helpful to store disseminated information that might be helpful for organisational process development of Delta. Hence, from the perspective of business organisations it is evident that selection of Big data not only enhances level of business operations but also make the minimise the extra burden of the job.
Figure 1: Big Data Implementation Techniques
(Source: Chen et al. 2014, p.172)
2. Identify and align business initiatives, objectives and tasks with the developed Business Strategy
Management of business organisations need to understand that information sources and IT strategy are accustomed with each other and it is important to align both the factors with Big data so that most effective result can be generated. In this respect, a comprehensive and effective IT governance based business process need to be adopted so that organisational productivity as well as performance can be increased of Delta. According to Chute et al. (2013, p.803), business organisations have faced significant challenge in terms with operations due to absence of technical negligence. In this respect, Big data has come up with a potential approach that is beneficial to ca
y out business operation in an effective manner.
Business Model
It is evident that various business organisations are not so much accustomed with technical advancements in terms with IT tools. Hence it is important to develop suitable business model that might be helpful to enhance business performance. Big data is extremely useful to transform existing model of business operations of Delta so that business operation can be easily ca
ied out. Business objectives are internal objectives to achieve strategies. Activities are actions or capabilities to achieve business objectives.
Business Process Model
It is important for business organisations to adopt suitable model that incorporates with Big data. “As-is” describes the cu
ent business process, and “to-be” describes the ideal business process. In this respect, ideal solution is to implement Big data model so that organisational development can be formulated.
3. Identify and discuss the required Technology Stack
In the context of technological development, it is important that adopt suitable operating system to ca
y out business operations. In this respect, Big data plays significant role to enhance the existing mode of operations. As opined by Hoffman and Podgurski (2013, p.62), choosing new technology and transform business operation into it is a complex task. Hence it is important to adopt technology so that the process of technology stack can be incorporated with Big data in Delta. Each programming...
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