Reference no: EM133907510 , Length: word count:1000
Business Analytics & Visualization
Assessment 1: Project Proposal
This is the assessment of the first project milestone. It is to develop and evaluate a project proposal focused on the business context and problem, data and information, data source, data analysis methodology, technical, ethical and other operational factors for the feasibility to deliver the expected analytics product within the given timeframe. You will complete this task in a group of two to three students.
Assessment 2: Exploratory Data Analysis Report
This is the assessment of the second project milestone. You will work in the same group as Assessment Item 1. It is to assess, review and confirm what has been achieved and what can be achieved in future from working on the artefacts completed, which are primarily the outputs of exploratory data analysis (EDA). Adjustments or refinements to the analytics approach, data collection and analysis, and the related processes are suggested to feed forward the project. Any code and script that has been developed will be reviewed.
Assessment 3: Code/Script Listing
This is an ongoing assessment but can be treated as the third project milestone. A large part of this assessment is focused on code and script development and other technical solutions. Peer reviews and lecturer's guidance will be given, and emerging issues will be addressed continuously. you will be using popular tools such as Power BI, Tableau, Python or R for this task. Alternative approaches will also be discussed to achieve pragmatic and effective solutions. You will work in the same group as before and will be assessed on: (i) a listing of code/script, (ii) screenshots of visual outputs, and (iii) a 15-minute demonstration of code/script
and solution per individual group member.
Assessment 4*: Final Project Report (Group) (1500 Words)
Presentation
This is the assessment of the last project milestone. Again, you will continue to work in the same group as before. The focus is on the upcoming deliverables and resolving residual gaps and issues. Assumptions, limitations and potential misunderstandings by the expected users of the data analytics application are well acknowledged. Project deliverables including analytical dashboard, insights together with valid interpretations, business impact valuations and user instructions will be submitted in a group report that addresses to a wide range of stakeholders especially those who are non-IT professionals. Higher achievements such as automation, deep- level insights and big potential business impacts are strongly encouraged. Invoking relevant contemporary issues in application such as ethics and potential impact on society will be duly awarded. Each group member will be required to make an individual presentation.
Each group member is also required to complete (i) a peer review report and (ii) a self-reflective report as individual submission.
Assessment: Project Proposal
Introduction
This assessment item relates to the unit learning outcomes as in the unit descriptor. : The objective of this Project Proposal is to assess the ability of students to understand large data sets and apply their knowledge in analytics to come up with useful insights.
You are provided with historical sales data for 45 stores located in different regions - each store contains a few departments. The company also runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks.
Collect the "Online Retail" dataset from Kaggle Repository. Carefully observe the dataset and apply analytics to find answers for the below queries
Task
Define the Business Context and Problem:
Write an overview of Company, highlighting its market position, product range, and operational structure (100 words). Boost your grades with expert assignment help today!
Describe the specific business problem you aim to address, detailing the impact on sales performance and profit margins (100 words).
Identify and Describe Data and Information Requirements:
List the types of data required for the analysis (e.g., historical sales data, inventory data, customer orders) (100 words).
Explain the sources of these data types and how they will be accessed (100 words).
Outline the Data Analysis Methodology:
Detail the analytical techniques to be used (e.g., outlier detection using statistical methods, profit margin analysis) (100 words).
Discuss the tools and technologies that will be employed (e.g., data visualization tools like Tableau) (100 words).
Assess Technical Feasibility:
Assess the technical requirements such as hardware and software needed for the project (100 words).
Evaluate the availability of necessary technical skills and resources within the team (100 words).
Discuss Ethical and Operational Factors:
Highlight ethical considerations, including data privacy and consent issues (100 words).
Discuss operational factors such as resource availability and organizational support for the project (100 words).