https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/

💳 ETL (Extract, Transform and Load) pipeline for calculating stats for a transactions database & testing the efficacy of a loyalty program. 💻

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

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

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.

Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.

This program helps to create sales reports based on warehouse sales data

Key: descriptive statistics and exploratory data analysis, forecasting (linear regressions, ARMIA, Prophet), and a Tableau dashboard that delivers customer insights such as RFM analysis.

This repository contains a list of open source and comercial platforms that take insights from user and chatbot models conversations

Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services

This project demonstrates customer segmentation using K-Means clustering, a popular machine learning technique. By analyzing customer data, we group customers into distinct segments to better understand their behaviors and preferences. This segmentation can help businesses tailor their marketing strategies and improve customer satisfaction.

This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies.

Mediumroast for GitHub CLI and API/SDK

This interactive dashboard provides a comprehensive overview of Adidas sales data. It offers valuable insights into sales trends, regional performance, product popularity, and retailer contributions.The dashboard is designed to empower stakeholders with data-driven insights, facilitating informed decision-making and strategic planning for Adidas.

Analyzing a subscription-based digital product offering for financial advisory that includes newsletters, webinars, and investment recommendations. The offering has a couple of varieties, annual subscription, and digital subscription.

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

Классификация клиентов банка для прогнозирования вероятности открытия депозита.

A Rust crate for calculating Net Promoter Score (NPS) from survey responses.

Developed a Power BI Sales Performance and Customer Insights Dashboard to visualize key sales metrics, analyze customer behavior, and identify growth opportunities. The dashboard provided insights into sales trends, product performance, customer retention, and geographic distribution.

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.