Get Cheapest Assignment in Australia, UK, US, UAE, Canada and NZ Order Now

Get Help with MITS6002 Business Analytics Assignment

0 Comments

Victorian Institute of Technology (VIT) – Melbourne offers student assessments to assess their knowledge of the MITS6002 Business Analytics subject. In the Business Analytics Assignment, there is a task that every student need to clear in order to showcase their proficiency in the subject.

AssessmentsOverviewDue date
Assessment 1: Case Studies & PresentationIn 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.Session 5
Assessment 2: Research StudyIn this assessment, you will write a critique or report on an academic paper(s) approved by your lecturer in the field of Business Analytics, or a specific industry case study.Session 8
Assessment 3: AssignmentIn this assessment, you will need to apply your problem-solving skills to analyse a given case, answer a set of questions and recommend insights and solutions.Session 12
Assessment 4: Final AssessmentDuring the end of the semester exam period

Assessment 1: Case Studies & Presentation

Introduction

This assessment item relates to the unit learning outcomes as in the unit descriptor. The objective of this case study is 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:

https://data.gov.au/

https://www.springboard.com/blog/free-public-data-sets-data-science-project/ https://www.dataquest.io/blog/free-datasets-for-projects/ https://www.kaggle.com/datasets

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

  • Present your insights including some basic analytics and at least five different visualisations.
  • This is now an individual assignment, not a group assignment.
  • You need to record your presentation, for 3-6 minutes. You and your slides should be clear in the video file.
  • Submit the video file of your presentation in the provided link by the due date. The only original file will be accepted; a link to your video file will not be marked.

Submission Instructions

All submissions are to be submitted through Moodle. It is your responsibility to upload quality and standard format files in Moodle. The link for the video will not be accepted and will not be marked. 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).

Get Help with MITS6002 Business Analytics Assignment

Get Help with MITS6002 Business Analytics Assignment
Get Help with MITS6002 Business Analytics Assignment

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 are not limited to:

  • Use of predictive analytics in the 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

Please note that this is an individual project. The topic needs to be chosen before session 7.

Based on your review you need to submit a report in IEEE format; see the word file in 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 session 7 to decide on a topic. The topic needs to be chosen before session 7. Students may discuss their chosen topics/papers in the discussion forum and may avoid similar papers selected by multiple students. Please note that popular magazine or website articles are not academic papers. The paper you chose should be published in the last 5 years (must be published in 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 paper’s premises. The citation of sources must be in the IEEE style.

Based on your review you need to submit a report in IEEE format; see the word file in Moodle.

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 the business case, a brief overview of the dataset, data type, variables and their relationships. You may assume such details of the dataset if not considered in your chosen paper. Moreover, critically describe the adopted business analytics models and decision-making tools which have been used and applied in your chosen paper. In addition to that, report the outcomes of the recommended business directions. If such a 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) the author’s family name. Follow the IEEE style. The footer must

include your name, student ID, and the page number.

Note: reports submitted on high plagiarism will be marked according to the VIT plagiarism rule.

Submission Instructions

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 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.

Your report should be a single word or pdf document containing your report.

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

This is an individual task.

Submission Instructions

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 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.

Your report should be a single word or pdf document containing your report.

How Punjab Assignment Help will Help with MITS6002 Business Analytics Assignment?

Students can avail of assignment help services for MITS6002 Business Analytics with the Punjab Assignment help team as they offer 100% plagiarism free content, on-time delivery and an affordable price range. Our experts have deep knowledge of the subject and can obtain high marks. Contact us today for assignment help and get a winning edge over fellow students. Contact us at Punjabassignmenthelp@gmail.com or call +918053884564.