Outline a business industry problem that can be addressed

Reference no: EM133674982 , Length: word count:1500

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: EM133674982

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Reviews

len3674982

4/11/2024 10:37:42 PM

2. Customer Retention Issues High Churn Rate Lack of Personalization Ineffective Communication Data Considerations Customer transaction history Customer feedback Demographic data Improvements It can use a customer relationship management (CRM) system for predictive analytics to identify at-risk customers and personalizing marketing campaigns by using insights So I need one more problem for approval to my professor and then u can start the assessment Send this first today asap

len3674982

4/11/2024 10:37:20 PM

I have industry and for that two problems…. Need one more problem for approval and then after u can start the work That you provide one problem and the assessment 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 It can be done by using the advanced demand forecasting models and RFID or IoT technology for real-time inventory tracking for implementing automated replenishment systems

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