This project to determine customer satisfaction towards an airline using SQL Server

Asiakkaan rooli ketterän lähestymistavan mukaisessa kehittämistyössä. Jyväskylän yliopisto 2010.

Simplezat

This repository contains a PowerBI dashboard to analyze an airline satisfaction survey.

Predicting Customer Satisfaction with Hybrid Basic Filter-Based Feature Selection

An open-source customer satisfaction dashboard

Using the dataset from Kaggle (https://www.kaggle.com/mohaimenalrashid/invistico-airline), implementing data scientist methodology to find useful insights that can be used for business purposes, applying data cleansing, EDA, data visualization, and machine learning modeling. We use Python Language Programming to solve and implement the Data Scie…

This project to determine customer satisfaction towards hotel in Europe continent.

IT contains data analysis and visualizations aimed at improving a landscaping company's revenue and customer satisfaction. The project addresses two sub-goals: increasing revenue and improving customer satisfaction. Four visualizations are provided, each contributing insights toward achieving these objectives.

Use Twitter text analysis to measure client satisfaction

cryptotoken

🚀 blah is audio analyzer api to allow call centers to extract information about their customers easily. it can be easily extended to more phone providers and more analyzers can be implemented if needed.

This repository houses a machine learning project. Its goal is to predict airline customer satisfaction based on factors like flight distance, in-flight amenities, service quality, and travel class. This aims to assist airlines in understanding the main factors affecting customer satisfaction, enabling them to make data-driven decisions.

Predict how the customers qualify their experience on the flight with 2 ways of approach: clustering and classification

Digital Marketing (web analytics and clickstream tracking) projects, and UX (research) projects.

Predicting customer satisfaction for purchases made in Brazilian e-commerce.

A customer satisfaction collection and visualisation PoC

Identifying Key Drivers of Customer Satisfaction using Logistics Regression

Analyzing and Monitoring Net Promoter Score (NPS) Performance for Healthcare Companies using SQL and Power BI

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