BM9720 Analytics for Competitive Advantage Assignment Sample

Published: 23 Nov, 2024

Category	Assignment	Subject	Management
University	University of Northampton \| UON	Module Title	BM9720 Analytics for Competitive Advantage

Introduction

This statement describes the process of data analytics that can enhance competitive advantage for retailers and distributors. By analyzing large datasets, predictive models were developed to launch sales and identify key drivers of consumer buying parameters. By taking advantage of methods like regression analysis, customer partitioning, and market basket analysis, both quantitative and qualitative insights were obtained. The searches depart effective inventory management strategies and highlight the importance of personalized advertising approaches in uplifting the retail success. This is an ideal course for students, who want to excel in strategic planning consultancy and competitive analysis jobs and help to upgrade competitive business methods and ways.

Introduction
Aim and Objectives
Case Profile
Literature review
Research Methodology
Research method
Research Philosophy
Research Approach
Data description
Data analysis
Results & Discussion
Data importing and data cleaning
Exploratory data analysis
Data preprocessing
Random forest
Linear regression
Ridge regression
Gradient Boosting
Neural Network
Model comparison
Conclusions and limitations
Limitation
Recommendation
References

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