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Case Study 9 – How a manager used Analytics to compare the customer ratings of her hotel with other hotels.

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Case Study 9 – How a manager used Analytics to compare the customer ratings of her hotel with
other hotels.

Industry – Hospitality Industry
We follow DCOVA and I methodology to solve the problem. To Understand this methodology, check
this whitepaper –

https://pexitics.com/Includes/DCOVA%20&%20I%20Whitepaper.pdf


Business Problem – A manager of a hotel wanted to compare customer ratings with other hotels in
the city. The customer ratings are on a public website for bookings hotels.
The manager approaches the analytics team with the problem and shares the details of the website
of customer ratings and the list of hotels she wanted to compare the ratings with the team. The
analytics team first downloads the customer ratings data and then explores the data to treat the
data for missing values and outliers. The team then creates a pivot table in excel to check how
many customers have given feedback for different hotels. The team comes out with a visualization
shown below –


This chart is a line chart which shows the number of feedback received by the customers for all the hotels in the city.
The analytics team then does statistical analysis to compare the feedback ratings. The team uses empirical rule for normal distribution which states that “68% of the data falls within one standard deviation of the mean”. The team calculates the range of the 68% data for the hotel of interest and the rest of the hotels and prepares a report. The team then submits the report with the calculated comparison of the customer feedback to the manager for further action.

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