customer-insights
There are 1 repository under customer-insights topic.
seby-sbirna / Customer-Insights-and-Business-Intelligence-upon-the-Japanese-restaurant-industry-in-Toronto-Canada
This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics
Language:Jupyter Notebook 8zuzannna / Loyalty-Program-ETL
💳 ETL (Extract, Transform and Load) pipeline for calculating stats for a transactions database & testing the efficacy of a loyalty program. 💻
Language:Jupyter Notebook 8kristiewirth / customer-analysis
Have you ever wondered who your most valuable customers are? This project, created for a software company, sought to identify those who stand out above the rest.
Language:Python 4sawadogosalif / Trade_area_analysis
In the retail industry a trade area, also known as a catchment area, is the geographic area from where you draw your customers. Here I derive trade area from scratch
Language:Python 4abhijitpai000 / predictive_lead_scoring
Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.
Language:Python 2ArtisConsulting / customer-insights-azure-data-workshop
Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services
tylerbro93 / COBOL-SALES-BY-WAREHOUSE
This program helps to create sales reports based on warehouse sales data
Language:COBOL 2zhangkelly014 / Online-Superstore-Insight-Analysis-Challenge
Key: descriptive statistics and exploratory data analysis, forecasting (linear regressions, ARMIA, Prophet), and a Tableau dashboard that delivers customer insights such as RFM analysis.
Language:Jupyter Notebook 2onlinepractice / digitalbanking
This repository is all about creating the framework for the digital banking
esana1 / retail-customer-segmentation
Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.
Language:Jupyter Notebook 0exelero565 / Project_4_ML
Классификация клиентов банка для прогнозирования вероятности открытия депозита.
Language:Jupyter Notebook 0- Language:R 0
irfanalidv / UFL_London
Customer Intelligent from scratch
0hamzaziizzz / UK-Bank-Customer-Insights
This repository is about data visualization of a bank's customer insights. This bank has four branches in Scotland, Northern Ireland, Wales and England. The bank manager wants to analyze how its customers are distributed in the four countries. Now this can be done in various ways, what percentage of males or females are account holders in the bank, how much balance does they hold, what are their job classifications, etc. In this project, I have distributed data in four ways - Age Distribution, Balance Distribution, Job Classification and Gender Distribution.
hsuwanying / traveller-insights-analysis
The project aims at developing a traveller insight dashboard that can help Swiss Online Travel Agencies(OTAs) to improve conversion cross traveller’s digital decision making process
Language:Jupyter Notebookrrrodzilla / net_promoter_score
A Rust crate for calculating Net Promoter Score (NPS) from survey responses.
Language:Rustsamisaud / retail-customer-segmentation
Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.
Language:Jupyter Notebook
