Customer Satisfaction Analysis in Hotels Using Power BI

Authors

  • Praba. R Associate Professor, Department of Information Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India Author
  • Nisha. T Department of Information Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India Author
  • Yazhini. S Department of Information Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India Author
  • Keerthana M. S Department of Information Technology, Dr.N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/CSEIT2410216

Keywords:

Customer Satisfaction Analysis, Data Visualization, Feedback, Performance Analysis, Power BI, Sentiment Analysis

Abstract

In the hospitality industry, customer satisfaction analysis is critical, especially in hotels where the visitor experience has a significant impact on company results. Using Power BI, this study explores the cleverness of customer happiness in hotels, highlighting critical indicators and insights from guest feedback data. By using skillful data visualization, trend analysis, and sentiment analysis, the study aims to provide hotel management with useful information to increase visitor happiness and raise service standards. It revolves around the adept use of Power BI, a robust business intelligence tool, to create an interactive dashboard for visualizing customer feedback in the field of hotel management.  This dataset enclose a various range of feedback collected from surveys and reviews. Through the development of this dashboard, the project aims to provide hotel managers with an user-friendly tool to gain comprehensive insights into customer sentiment. Also, the project compares how well the hotel is doing compared to other similar places. This helps understand how effective the hotel is in its operations. The insights from these visuals give practical recommendations, empowering hotel managers and stakeholders to make smart decisions based on data. This Data Visualization lead to Performance analysis in order yield better results.

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References

Ken Withee, "Power BI for Dummies" , (2016)

K. B. Aryasa, I. Utoyo, R. Effendi, T. Bramaningtyas, and J. Sutandang, Big Data Analytics Ecosystems & Solutions Dengan Apache Hadoop. Jakarta Selatan: Asosiasi Big Data dan AI Indonesia (ABDI), 2019.

T. Microsoft and D. Ax, Inside Microsoft Dynamics AX 2012 R3. Microsoft Press, 2012.

P. Turley, T. Bryant, J. Counihan, G. McKee, and D. DuVarney, Professional SQL Server Reporting Services.Wiley, 2013.

B. Powell, Mastering Microsoft Power BI Expert techniques for effective data analytics and business intelligence. 2018.

K. Gowthami and M. R. P. Kumar, “Study on Business Intelligence Tools for Enterprise Dashboard Development,” Int. Res. J. Eng. Technol., vol. 4, no. 4, pp. 2987–2992, 2017.

"Mastering Power BI: Power BI Desktop, Power BI Service, and Power BI Mobile" by Brett Powell (2018).

"Dashboard Essentials with Power BI, Excel, and Tableau" by Jordan Goldmeier and Purnachandra Duggirala (2019).

"Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop" by Dan Clark (2016).

"Power BI Cookbook: Creating Business Intelligence Solutions of Analytical Data Models, Reports, and Dashboards" by Brett Powell (2017).

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Published

27-03-2024

Issue

Section

Research Articles

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