Research Study

Business Analytics

Assignment 2

Research Study

MITS6002 Assignment 2

Copyright © 2015-2019 VIT, All Rights Reserved. 2

Learning Outcomes

The following learning outcomes have been covered in this assessment:

LO3. Conduct research on a collection of business cases and perform statistical analysis as also

interpret these outcomes to recommend appropriate business directions.

LO4. Critically analyse a variety of business domains and adopt business analytics models

appropriate to the domain that requires quantitative techniques for decision making.

LO5. Recommend appropriate analytic tools and techniques to resolve complex business

analytics problems in various industry sectors.

Objective(s)

This assessment item relates to the unit learning outcomes as in the unit descriptor. This

assessment is designed to improve student presentation skills and to give students experience in

researching a topic and writing a report relevant to the Unit of Study subject matter.

INSTRUCTIONS

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:

1. Use of predictive analysis in healthcare industry

2. Comparison of BI tools

3. Techniques of predictive analysis

4. Methods of representing multi-dimensional data in visualisations

5. Analytics techniques to improve logistics management

6. Security of data and privacy concerns in analytics

Please note that this is an individual project. Discuss with your lecturer before week 7 to decide

on a topic. The topic needs to be chosen before week 7.

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.

MITS6002 Assignment 2

Copyright © 2015-2019 VIT, All Rights Reserved. 3

Submission Guidelines

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 web-sites, 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.