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Big Data in Hospitality Sector

Srikanth by Srikanth
March 29, 2021
in Big Data
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Big Data in Hospitality Sector
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Big data can be defined as the large amount of structured and unstructured data that a business and company collects every day. Business in all around the world are taking the importance of days analysis. Getting right knowledge gives you a better advantage and experience in a competitive business environment. Talking about the hotel industry, it is no exception. To run a hotel, it is necessary to create a positive impression on the customers. Hotel industry is a very big and most popular industry that carry huge volume and different type of data every day. Analyzing these type of data is very difficult and challenging for every business today. Managing data is so essential as it helps business enhance and meet the expectations of a customer.

Know the customers need

Customers expect too much from the companies and hotels more than their needs. After all, they are spending their money. Data analysis allows you to get in tuned with the customers wants, needs and expectations. It helps to target the right audience for doing business and sales. Data analysis management and hoteliers are genuine and natural partners. During the customers stays and booking, travelers generate huge amount of data. When the hotel understands the customer well it will be easy for them to reach their market goals. The big data is a great partner with the hotel management. It is very necessary to manage the data for making better customers and business plans. Hoteliers can use this data to personalize good experience and the future strategies.

Impact of data analysis in hotel industry

Data analysis has proven to be a good and better advantages for hoteliers. It is the perfect key and way to marketing services, strategies, building customers trust and enhancing visibility and productivity. It allows hoteliers to personalize experience for their customers, introduce better market strategies and expand their work at worldwide. Furthermore, it helps them to understand the needs, purposes and preferences of the customers. One of the most important part is real time data. Tracking Real time data is very useful and profitable for the hotel industry. It will help you to make planned packages and offers it to the right customers at the right place and the right time.

Management of hotel booking

It is very essential that a hotel should adopt a pricing strategy for hotel revenue management. Today’s world is digital and everyone is using the internet to book everything to save their time and efforts. There are so many websites, travel agencies, cyber café and channels that are in existence to book a hotel. Better management of data analytic help you to determine the volume of hotel bookings received from each and every channel. It will make your market strategies better and effective. This will lead the hoteliers know which channel is going good and which channel needs to worked on.

Use of mobile apps

There are too many mobile apps that the hotels provide for booking. Customers find this the easiest and convenient way. This will save their time and efforts. These mobile apps can be proved for the hoteliers to compare prices, booking schedule and weigh incentives. Customized rooms, type of services and hotel offerings led to be a great use in data analysis. Tracking the customer’s data detail or help them find a great and better restaurant can be effective. They should make themselves customer-friendly. The hotel industry is very competitive industry today because the customers demand a high quality service and their dreamed expectations. Thus, data analysis help them to be aware of the customer needs. They can also utilize this data to plan their business or operations in a properly.

Customer value and customer knowledge

Customer deeper knowledge and understanding is a great source for the hoteliers. They must capture the customer needs that what exactly they want, this will lead the hoteliers to get opportunities to attract new patrons. Length of stay, time of stay, weather, room types and purpose of stay these all are the factors that help in data analysis. To maximize profits, the hotel need to value their old clients by taking care of their expectations that what preparation, menu, type of room they need for their every visit. By analyzing the big data, you can find all the strategies to make your business grow like – smart decision-making, time management, cost reduction and new product development. Big data can be used in the hospitality industry for giving a personalized and enjoyable travel experience to the customers. When the industry know, what customer want from the experience, it will be a great help for data analysis. For example, if the hotel knows that which type of food customer is demanding, they will not spend extra money on making other dishes.

Development and transformation

The hospitality industry is going through a very competitive phase of development and transformation. The products and services offer in a hotel considered to be a competition for the other hotels. As the competition is increasing day by day, hoteliers are spending their time and energies to know customer needs. It is obvious that delighted and satisfied guests become loyal and regular customers. This can lead to higher visibility and profitability. It is data strategies that can make the guest friendly and experience. Big data help hoteliers to make the perfect marketing strategies for each and every target based on their preferences and needs. One of the major part is to focus on the regular customers. Regular customer is a relevant part to the success of a hotel. They repeatedly come to your hotel. You need to just taking care of their needs and expectations because they trust your hospitality. By analyzing the data regarding the previous customers can help in increasing the profit, and it also results in good publicly, and they also add some new customers to you. With the increasing competitions, hotel must provide superior service for an overall great experience because customers expectations are too high.

Tags: big datacustomer engagement

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