customer-data

Privacy and Security focused Segment-alternative, in Golang and React

JavaScript SDK for RudderStack - the Customer Data Platform for Developers.

rtdl makes it easy to build and maintain a real-time data lake

Data analytics, exploration, sentiment analysis and topic analysis (LDA) on Amazon customer reviews. And cool interactive plots.

A comprehensive e-commerce database solution using MySQL with complete table schemas for customers, products, orders, and transactions. Includes sample SQL queries, installation guide, and Node.js application setup for managing an online store.

Detect duplicate customers and national ID conflicts in SQL Server by fuzzy name matching — exports results to Excel

📋 Need more information about your merchants or customers on your marketplace site? Add new data fields to their profile pages for them to fill-up.

Create an abstract component with a customer data to not duplicate the code to each component and send many requests to BE

condor-retl (Reverse ETL) is an open source Python library for syncing warehouse data to business tools.

Live, runnable e-commerce growth engineering demos: experimentation, tracking, AI workflows, automation, RAG, affiliate attribution, customer data, lifecycle growth, and static web infrastructure.

AI 原生客户资料工作台 | AI-native workspace for multi-format imports, source traceability, human review, deduplication, and exports.

Repositories of analytics workshop

Churn Modelling - unusual rate at which customers leaving the company, we need to figure out why? we need to understand the problem? We actually need to create a demographic segmentation model to tell the bank/company which customers are at high risk of leaving.

This Python project automates the process of sending emails/ campaigns to customers using Gmail and an Excel file as a data source and database.

Probabilistic record linkage across sites like Shopify & Stripe — 100% precision, zero false positives.

Project: Classifying consumers and minimising canvassing costs

Example how to combine Google Analytics and hull.js to track website visitors

A customer data engine that unifies events, identities, and insights into one smart platform.

Customer matching: blocking, a forest matcher tuned on clusters, households and golden records

We maintain all customers in one database. There are heaps of customers who have user cards. So, I decided to split up the customers based on the country and load them into corresponding country tables.