Evaluate what type of descriptive and predictive analytics

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Reference no: EM133675313

Capstone: Industry Case Studies, Industry Review

Your Task

Generate an original business question based on an industry business problem that can be explored using available data sources and analytics methodologies mastered in the business analytics degree.

Students are to investigate the application of one analytics method to an industry and document their findings as a report.

Assessment Instructions

The first part of any good project is a literature review. In approximately 1000-1500 words (excluding references) address the following sections that will assist you to outline a business industry problem that can be addressed through data analytics.

Industry Background:
Choose an Industry, e.g., healthcare, retail, education, finance, recreation, government, etc. and discuss three key business problems currently facing this industry.
Existing Analysis and Methodologies:
Investigate and evaluate existing analysis on the three business problems you have chosen and reflect on the data and analytics methodologies employed in this analysis.
Data Sources:
Evaluate the types of data sources available to analysts in this industry. Explore the available data sources you can access to address the three business problems you have identified and evaluate what type of descriptive and predictive analytics techniques could be used.
Selecting Business Problem: Generate a unique business question for this industry based on one of the business problems. You will address this business problem in Assessment 3 (Project Report). For the business problem you select briefly summarise the:
The data source you will use.
Methodologies you will explore (brief).
The originality of your contribution (i.e. Why is your analysis unique given existing investigation and analysis in this space?).

Provide at least ten relevant, credible references to support your ideas and explanations.Industry is retail

1. Inventory Management:
Issues
Overstocking
Stock outs
Seasonal Demand
Data Considerations
Historical sales data
Supplier data
Point-of-sale (POS) data
Improvements

2. Customer Retention
Issues
High Churn Rate
Lack of Personalization
Ineffective Communication
Data Considerations
Customer transaction history
Customer feedback
Demographic data
Improvements

Reference no: EM133675313

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Reviews

len3675313

4/12/2024 3:31:11 AM

Add. Descriptive analysis Mythology use Literature review Source of data ( Define three (3) problem statements ( Select one statement for data analysis) ( Orange file : add atleast two model for comparison.) Use visualisation : Teblue or exploratory. Please focus on instruction

4/12/2024 3:30:49 AM

I need report and orange file both. I have a new assignment data 6000 I will give you information notes from professors please focus on that too Notes from professor. You have to choose data Related to. (Data set) 1)Heart disease 2)cancellations of hotel booking 3) credit card fraud detection. Choose any 1 only from this.

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