Thursday, July 8, 2021

Smart Tourism: Benefits of Big Data in Tourism Industry

Read What are the benefits of big data in the tourism industry and how big data technologies can improve the travel and tourism industry?

Smart Tourism
Smart Tourism: Benefits of Big Data in Tourism Industry 

How Big Data Technologies Can Improve Tourism?

The tourism industry can benefit from big data in many ways, including: offering packages tailored to visitors' interests and needs, pinpointing marketing campaigns, and deciding which countries to focus on winning customers in.

Big data technologies help make informed decisions based on analytics and numbers-driven data, identify target groups of potential customers at every stage in the trip planning process, predict new products that may perform well in the markets, increase efficiency and quality of services, and improve the overall performance of the tourism industry.


Smart Tourism

The spread of the coronavirus and mobility restrictions in many countries caused tourism revenue to decline.

In the tourism sector, technology plays a fundamental role in reactivation. The use of Big Data and tools for data processing has become a major ally of the digital transformation of tourism businesses in recent years, regardless of size. 

The tourism business is committed to digitization to ensure its survival in the textile market and mark its competitive advantage over other players.

In this context, data analysis transforms data into useful information for tourism companies in order to obtain objective answers that serve as the foundation for defining and optimizing their sales strategies. 

Data analytics tools offer a complete view of the behavior of tourists and users, from the visits and where they come from, the average length of stay, the trips between cities, the most chosen places to the general level of tourist spending, or the average spending per day.

Smart tourism is the use of information and communication technology, big data, artificial intelligence, and the Internet of Things (IoT) to deliver personalized tourism information and enhanced services. Smart tourism is an important component of a smart city and helps to develop innovative tools and methods to improve tourism.

The main attraction of Smart Tourism is in the ability to predict future behavior,  expectations, and needs of tourists, allowing companies to make smarter and safer business decisions. In addition, it makes it possible to detect trends, get to know the customer better, streamline decision-making, optimize processes, attract and retain users or develop much more personalized products and services.


6 Benefits of Big Data for the Tourism Industry 

Big data has many benefits in the travel industry, allowing the tourism sector to make more evidence-driven decisions, anticipate future demand more accurately, target marketing more precisely, optimize pricing strategies, and improve the customer experience.

Let's take a look at the six benefits of big data for the tourism industry.


1. Precision: Big Data is an extensive source of information suitable for knowing exactly the different parameters of the tourism sector. 

Visits, places of origin, length of stay by nationality, trips, places to spend the night, tourist spots of greatest interest, and average spending are capable of being extracted with a correct analysis of the macro data. 

Technology is capable of drawing valid conclusions to improve services,  enhance decision-making in certain tourist places or manage access points in an optimal way. 


2. Reliable sources:  Big Data has a great advantage and it is having accurate and real information from different sources. In this case, the information that is handled is not a sample base but rather reliable and representative data, which has a direct impact on precise decision-making for companies. 


3. Data crossover and segmentation:  Data analysis makes it possible to know customer tastes and habits. 

The fact of contrasting data to extract added value and segmenting them to adapt the tourist offer based on the needs of customers according to, for example, the number of members of a family or their nationality, is possible to know using technology in the tourism sector. 


4. Sharing data between different entities: Combining own sources with others from third parties or from the public administration is another of the great challenges of the tourism sector. 

There are many companies in the same sector that already carry out this type of practice. In the case of the tourism sector, far from causing suspicion among organizations, it would make them even more powerful, capable of taking a 360-degree photograph of the visitor. 


5. Prediction: A fundamental tool to put yourself before the needs of tourists and be able to offer the best possible service. And it is that new technologies allow the prediction of data at an advanced level.

In this way, using statistical data, their own and those of third parties, tourism companies can precede the arrival of tourists with certain characteristics. With the right prediction, they know their demands and tastes in advance so as not to leave the room.


6. New business models: Information is an incalculable source of power. One of the trends in the tourism sector is the reinvention of business models, always at the service of customers. 

Thanks to data analysis, companies invest in areas with growth potential. A commitment to continuous improvement that cannot be sustained except for the immense volume of data and the technological tools to extract all its value from it.

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