R-Analysis: Identifying high value customers and low value of customers using RFM modelling
-
Updated
Jun 11, 2020 - Jupyter Notebook
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
Analyse the customer purchase behaviour to optimize inventory cost
Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective
The primary objective of this project was to conduct a break-even analysis for the product's first year. The business team needed to understand at what point the product would begin generating profits after covering all associated costs.
This project aims to help Meesho identify and prioritize the key reasons behind customer complaints using Pareto analysis. By focusing on the top complaint categories contributing to the majority of issues, Meesho can take targeted actions to improve customer satisfaction and optimize operations.
Salary analysis of all active, permanent employees of Montgomery County, MD paid in 2023. Descriprive Statystics, Histogram, Pareto analysis, Correlation and more.
Analyse the customer purchase behaviour to optimize inventory cost
Customer segmentation using abc analysis.
Análise exploratória de estoque com SQL usando o banco de dados Northwind.
This sample demonstrates how to create a Pareto Chart to Identify Key Customer Complaints using .NET MAUI (SfCartesianChart).
Add a description, image, and links to the pareto-analysis topic page so that developers can more easily learn about it.
To associate your repository with the pareto-analysis topic, visit your repo's landing page and select "manage topics."