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MIS771 – DESCRIPTIVE ANALYTICS AND VISUALISATION

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MIS771 – DESCRIPTIVE ANALYTICS AND VISUALISATION

MIS771 – DESCRIPTIVE ANALYTICS AND VISUALISATION

Subject Code – MIS771
Subject Name – Descriptive Analytics and Visualisation
University Name – Deakin Business School, Australia

Descriptive Analytics and Visualisation, this subject includes the following topics like Data Analysis, Data Visualisation, and evidence-based decision-making. The subject aims to help students to know how software is extensively used to develop data visualization and analysis skills.

What are Data Analysis and Data Visualization?

Data Analysis is a method to collect, understand, and analyze data to discover useful information for business decision-making.
Steps to analyze data:
Define your goals
Decide how to measure goals
Collect data
Analyze data
Visualize and interpret results

Data Visualisation is a graphical representation of data and information. It is generally used to discover unknown facts and trends.
Importance of Data Visualization:
Data visualization is a simple and effective approach to conveying information to a broad audience using visual data. The practice can also assist businesses in determining which factors influence customer behavior, identifying areas that need to be improved or given more attention, making data more memorable for stakeholders, determining when and where specific products should be placed, and forecasting sales volumes.
Deakin Business School, Australia
Deakin Business School is located in Victoria, Australia. Deakin Business school is recognized as one of the top business schools in the world. The university offers a huge range of business courses at the undergraduate and postgraduate levels.

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Assessment Details

Learning Outcomes-

To solve complex problems, use quantitative reasoning skills.
As a data analyst, you must plan, monitor, and assess your own learning.
Deduce clear and unambiguous solutions in a format that is beneficial for decision-making, research, and public communication.

This is an individual assignment with three tasks.
The first task is to report on how to plan and deliver the assessment task on time.
The second task is to analyze the given dataset and draw conclusions from the analysis. Finally, the third task is to convey the findings and conclusions in a written report to a person with very little or no knowledge of Business Analytics.

Case study- FoodPlus

Questions related to the above-mentioned case study.
1. Do stores with an online channel have a better Sales record than stores without an online sales channel?
2. Is the proportion of Mall store managers with less than ten years of management experience smaller than the proportion of Strip store managers with less than ten years of management experience?
3. Does Gross Profit differ between the three levels of wastage?
4. Does the proportion of country stores differ across NSW, Victoria, and Queensland?
5. We released additional funds to all stores to increase their weekly trading hours. Can you assess the effectiveness of the scheme?
6. I would like you to design and run an experiment to see the effect of the online channel and the level of wastage on gross profits. The data for the experiment is in the “Experiment” worksheet.

Guidelines for Assignment Planning and Execution Tables
This practical task aims to help you keep track of your progress with the assignment and submit it on time. To report how you plan your project and turn the plan into action, you must complete the tables provided in dot points as clearly as possible. Remember, effective planning, execution, and completing given tasks on time are essential self-management skills.

Guidelines for Data Analysis
Read the case study and questions asked by Edmond carefully. Then spend some time reviewing the data to get a sense of the context. The analysis required for this assignment involves material covered in Module 1, with the corresponding tutorials being a helpful guide. Start the analysis by translating the worded business problems into testable propositions.
Before submitting your analysis, make sure it is logically organized and any incorrect or unnecessary output has been removed. Marks will be penalized for poor presentation or disorganized/incorrect results, or any unnecessary output.

Guidelines for the Report
Your report consists of three sections: Introduction, Main Body, and Conclusion. The report should be around 1,200 words.
The introduction begins by highlighting the primary purpose(s) of the analysis and concludes by explaining the report’s structure (i.e., subsequent sections).
The report’s main body summarises the key findings for each question, specifically addressing Edmond’s questions. Use proper headings in the report’s main body. Do not include any Excel output in the report and avoid statistical jargon. Instead, use simple English to convey your findings and conclusion.
The conclusion should highlight the key findings of the analyses and explain the main limitations (if any).


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