Reference no: EM132397233

FIT5141 - Advanced topics in information technology Monash University Australia

Assignment  Data Analysis and Decision Support

Specification

Overview

You will develop and implement a quantitative analysis that will aim to answer the business question that you have formulated.

It will have two parts: A: the implementation, and B: the report.

Part A: The implementation will be in MongoDB, R, and Tableau.

Part B: Additionally, a report must be written about the implementation and results of analyses.

Part A:

In this part, you need to implement an analysis of the dataset you selected to answer your business question. The implementation of the analysis needs to have the following components:

• Data stored in MongoDB

• Data analysis done in R

• Optimisation and/or forecasting in R or in an Excel spreadsheet

• Results of analysis must include ALL of the following:

o Tables produced by R

o Charts produced by R, and

o Charts produced by Tableau

In order to produce charts using Tableau you will need export any of the data to be plotted into a “.csv” file and then opened with Tableau

• The results must be comprehensive enough that are report can be produced according to the outline of the report for part B below.

• The overriding requirement of any business data analysis is whether it is sufficiently complete to be used as the basis for decision-making. Hence:

o You must answer the question in a way that leads to decisions that could be implemented in practice by the business or organization that may have requested the analysis.

The answer does not have to be correct (we are not testing you on that.), but has to relate logically to a subsequent decision made by someone based on the analysis. This should be written up in the report in part B below.

Part B:

This report will describe to the reader what the analysis was, why it was done, and what decisions its results could lead to. The report should be structured along the lines below that set out the minimum required sections (section names can be modified as the student deems appropriate but must be logical and relevant) with each section including coverage as itemized below.

Minimal Report outline:

• Introduction

• Description of the Dataset

o Dealing with data format issues (e.g. text to numerical or date issues)

o Dealing with missing data and addition or removal of fields.

• The analysis and why it was done (the business question)

This must include:

o Analysis overview

o Summary statistics

• Methodology

This section should describe why and how the analysis was performed including:

o The rational for selecting the particular calculations performed,

o The justifications for the data sub-setting choices,

o The justifications for the type of statistics reported

o An explanation of the forecasting or optimisation performed

o The justifications for the types of charts produced

• Conclusion

A summary of how the results of the analysis answer the question. Should include:

o Discussion of how the analysis supported the answer to the question

o Questions that couldn’t be answered and what could be done in future to answer them

o The possible decisions that could be made by the organization as a consequence of the answers received.