Power-BI Based Customer Satisfaction Analysis a Review

In the hospitality industry, customer satisfaction analysis is extremely important, especially in hotels, and visitors' experience can have a major impact on company outcomes.Using Power BI, this study examines the smartness of customer happiness in hotels and shows key metrics and knowledge from guest feedback data.By using skilled data visualization, trend analysis and mood analysis, this study aims to provide useful information on hotel management to increase visitors and increase service standards.This concerns the skilled use of Power BI, a robust business intelligence tool for creating interactive dashboards to visualize customer feedback in the field of hotel management.This data record contains different feedback spectra collected from surveys and reviews.By developing this dashboard, the project aims to provide hotel managers with user-friendly tools to gain comprehensive insight into the customer mood.The project also compares how well the hotel is working compared to other similar locations.This will help you understand how effective a hotel is in the company.These graphic findings provide practical recommendations and allow hotel managers and stakeholders to make intelligent decisions based on the data.This visualization of data allows for performance analysis and better results

Authors

Publication Details

Journal
International Journal of Innovations in Engineering and Science
Published
2025-06-06
DOI
https://doi.org/10.46335/ijies.2025.10.6.7
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Power-BI Based Customer Satisfaction Analysis a Review

Mayuri P. Waykole, Dipak R. Nemade
International Journal of Innovations in Engineering and Science
Internet of Things and AI
article

Power-BI Based Customer Satisfaction Analysis a Review

Mayuri P. Waykole, Dipak R. Nemade
article en

Abstract

In the hospitality industry, customer satisfaction analysis is extremely important, especially in hotels, and visitors' experience can have a major impact on company outcomes.Using Power BI, this study examines the smartness of customer happiness in hotels and shows key metrics and knowledge from guest feedback data.By using skilled data visualization, trend analysis and mood analysis, this study aims to provide useful information on hotel management to increase visitors and increase service standards.This concerns the skilled use of Power BI, a robust business intelligence tool for creating interactive dashboards to visualize customer feedback in the field of hotel management.This data record contains different feedback spectra collected from surveys and reviews.By developing this dashboard, the project aims to provide hotel managers with user-friendly tools to gain comprehensive insight into the customer mood.The project also compares how well the hotel is working compared to other similar locations.This will help you understand how effective a hotel is in the company.These graphic findings provide practical recommendations and allow hotel managers and stakeholders to make intelligent decisions based on the data.This visualization of data allows for performance analysis and better results

International Journal of Innovations in Engineering and ScienceVol. 10(6)
Openalex Percentile: Top 71%
Internet of Things and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Power-BI Based Customer Satisfaction Analysis a Review — Mayuri P. Waykole, Dipak R. Nemade · International Journal of Innovations in Engineering and Science (2025) | TGRS Research Map | TGRS