This case study analyzes the profit, number of customers, shipping type, customer type, region and category for International Online Book Store. It includes descriptive statistics, two sample t test, one way ANOVA, correlation analysis and regression analysis. Recommendations and implementation plan are also provided.

Assessment Task 2 Research Project

To undertake a data analytics approach to solve a set of business problems that require the use of appropriately selected data processing and mining approaches.

Analyze data for an online book store to improve profit, customers, shipping, region, and category. Get recommendations and implementation plan.

Data Analytics: A Business Case Study | Desklib

Data Analytics: A Business Case Study

This case study analyzes the profit percentage, number of customers, shipping type, customer type, geographical region, and book category for Academic Online Book Store. Findings include significant differences in mean number of customers and correlation analysis. Recommendations and an implementation plan for the company are provided.

Hartpury University and Hartpury College

Data Science and Big Data

Statistics and Probability

The data analysis report for book sales includes profit analysis, mean number of customers, correlation analysis, regression analysis and recommendations for the company. The report suggests that the profit share by the paid shipping is higher as compared to the free shipping. The new type of customer provides very high profit as compared to the existing customers. The users from South Australia provide more orders and profit as compared to the Western Australia. Among the categories, the Literature and Fiction sales have maximum profit as compared to other book category types. The report also includes an implementation plan based on the recommendations provided.

Data Analysis Report for Book Sales

A Case Study on Business Assignment

A Business Case Study Assignment

This report explores how data analytics can help an ecommerce company analyze sales and data for product segments and geographic regions. It covers research methodology, recommendations, analytical findings, and implementation strategies. The report includes statistical analysis techniques such as profit analysis, descriptive statistics, t-tests, regression analysis, correlation analysis, and one-way ANOVA. The report also provides Python code examples for two-sample tests, one-way ANOVA, and linear regression.

Data Analytics: A Business Case Study

About This Document

Data Analytics: A Business Case Study

Data Analysis Report for Book Sales

A Case Study on Business Assignment

A Business Case Study Assignment

Data Analytics: A Business Case Study

Data Analytics for Ecommerce Company: Analyzing Sales and Data for Product Segments and Geographic Regions

Data Analytics: A Business Case Study

About This Document

Data Analytics: A Business Case Studylg...

Data Analysis Report for Book Saleslg...

A Case Study on Business Assignmentlg...

A Business Case Study Assignmentlg...

Data Analytics: A Business Case Studylg...

Data Analytics for Ecommerce Company: Analyzing Sales and Data for Product Segments and Geographic Regionslg...

Data Analytics: A Business Case Study

Data Analysis Report for Book Sales

A Case Study on Business Assignment

A Business Case Study Assignment

Data Analytics: A Business Case Study

Data Analytics for Ecommerce Company: Analyzing Sales and Data for Product Segments and Geographic Regions