Critical analytics for a business project

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Reference no: EM133005486

MITS6002 Business Analytics

Assessment 1: Case Studies & Presentation

In this assignment you will be given a small case study and you will need to apply your knowledge to Identify, make critical analytics for a business project and prepare a presentation video of the important insights from the
analytics.

Introduction

This assessment item relates to the unit learning outcomes as in the unit descriptor. Objective of this case study to assess the ability of students to understand large data sets and apply their knowledge in analytics to come up with useful insights. This assessment is designed to improve student presentation skills and to give students experience in researching a topic and presenting a report relevant to the Unit of Study subject matter.

Task
1. Find a data set from an open data website Example:

The data source should be large enough (at least 10 columns and 250 rows).

2. Present your insights including some basic analytics and at least five different visualisations.

3. This is now an individual assignment, not a group assignment.

4. You need to record your presentation, 3-6 minutes. You and your slides should be clear in the video file.

Assessment 2: Research Study

Introduction
This assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is designed to improve student research skills and to give students experience in researching a topic and writing a report relevant to the Unit of Study subject matter.
Task
Perform a literature review on a known topic in business analytics. It can be any topic on tools, methodologies or applications. Some examples include, but not limited to:
• Use of predictive analysis in healthcare industry
• Comparison of BI tools
• Techniques of predictive analysis
• Methods of representing multi-dimensional data in visualisations
• Analytics techniques to improve logistics management
• Security of data and privacy concerns in analytics

Based on your review you need to submit a report in IEEE format; see the word file in the Moodle. Submit your report in a word or pdf format. Your report should be limited to 1200-1500 words.

The paper you select must be directly relevant to one of the above topics or another topic related to what we are studying this semester and be related to Business Analytics. The paper can be from any academic conference or other relevant Journal or online sources such as Google Scholar, or Academic department repositories. All students must select a different paper. You can discuss with your lecturer before week 7 to decide on a topic. The topic needs to be chosen before week 7. Students may discuss their chosen topics/papers in discussion forum and may avoid similar paper selected by multiple students. Please note that popular magazine or web-site articles are not academic papers. The paper you chose should be published in the last 5 years (must be published 2015 or after). Our report should be limited to approx. 1500 words (not including references). Though your paper will largely be based on the chosen article, you may use other sources to support your discussion or the chosen papers premises.

Report Content
Title Page: The title of the assessment, the name of the paper you are reporting on and its authors, and your name and student ID.
Introduction: Identification of the paper you are critiquing/ reviewing, a statement of the purpose for your report and a brief outline of how you will discuss the selected article (one or two paragraphs).

Body of Report: Describe the intention and content of the article. Document a critical analysis regarding business case, brief overview of the dataset, data type, variables and their relationships. You may assume such details of dataset if not considered in your chosen paper. Moreover, critically describe the adopted business analytics models and decision-making tools which has been used and applied in your chosen paper. In addition to that, report the outcomes of the recommend business directions. If such recommendation is not outlined in your chosen paper, discuss and justify your own view.

Conclusion: A summary of the points you have made in the body of the paper. The conclusion should not introduce any ‘new' material that was not discussed in the body of the paper. (One or two paragraphs)

References: A list of sources used in your text. They should be listed alphabetically by (first) author's family name. Follow the IEEE style.

Assessment 3: Assignment

Introduction
This assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is designed to improve student analytic skills and to give students experience in problem solving in business analytics.

Task
Answer the assignment questions given in the Moodle and upload a word file. To answer question one, you will need to refer the provided consumer insights report which is also given in the Moodle.

All submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments not submitted through these drop-boxes will not be considered. Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 10% per day (including weekend days). The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will check conference websites, Journal articles, the Web and your own class member submissions for plagiarism. You can see your turn-it-in similarity score when you submit your assignment to the appropriate drop-box. If this is a concern you will have a chance to change your assignment and re-submit. However, re-submission is only allowed prior to the submission due date and time. After the due date and time have elapsed you cannot make re-submissions and you will have to live with the similarity score as there will be no chance for changing. Thus, plan early and submit early to take advantage of this feature. You can make multiple submissions, but please remember we only see the last submission, and the date and time you submitted will be taken from that submission.

Attachment:- Business Analytics.rar

Reference no: EM133005486

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