Question

A multinational hotel chain has been implementing analytics digital marketing to its customers. However, the responses to the digital campaigns have not been favourable, and the revenue generation has not been as expected. Currently, they are trying to solve this problem by focusing on similar campaigns that use the same promotional content, and changing these campaigns to suit the specific tastes of the consumers in each nation.
1. Discuss how business analytics can be utilized by the hotel management in this scenario.

2. What is the data required to facilitate good decisions?

Answer 1

Explanation:

Answer: The multinational hotel chain should use predictive analytics to detect the historical changes in the data about the...

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Answer 2

Answer:

In the hotel sector, data analytics is essential for improving productivity, client loyalty, and marketing strategy.

Explanation:

• Companies all over the world are realizing the value of data analytics.
• In a cutthroat business world, having the appropriate insights provides an edge.
• The hotel business is similar.
• In the hotel sector, data analytics is essential for improving productivity, client loyalty, and marketing strategy.
• It enables hotels to offer more individualized services to their visitors, improve their pricing policies, and increase their clientele.

2. The data required to facilitate good decisions are:

1. Guest identification:

• The hotel industry must first identify and comprehend its guests in order to give better and more successful services and promote itself.
• When a hotel caters to their requirements and tastes, they are more inclined to provide good reviews.
• This method of determining the target audience takes into account a number of factors, including age, family history, income, hobbies, and prior purchases.
• The hotel sector can both attract new consumers and better satisfy its current clients by tailoring services to their individual needs.

2. Transactions report:

• You could discover more about what works best for your hotel by studying your everyday transactions.
• You could spot a pattern and determine which days are more and less productive.
• The overall quantity of check-ins
• The overall quantity of check-outs
• How many unpaid check-outs there were
• Average number of occupied and vacant rooms
• the means of payment

Recently, hotels have understood how Business Intelligence (BI) may be implemented utilizing data analytics to improve services, strengthen marketing plans, and even increase revenue.

It can also be used to find viewpoints that support key business choices. With data, you may discover the crucial solutions that will help you develop new products, make better decisions, improve your services, and cut costs.

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