Last week, it was discussed the concept of Big Data and how its main objectives is to create value for the Tourism industry.Now going further I would like to share thought over how tourism industry use data analytics.
Analysis of Data
The tourism industry is working for the modern traveler to create the perfect experience and provide a number of facilities in one shot.Nearly every modern travel and tourism industry which works on data science.Travel service providers are now specializing in using state-of-the-art technology such as Big Data Analytics to increase their business efficiency, and standing out among their competitors.Tourism industry players can now take informed decisions based on analytics and data driven by numbers.At each stage of the trip planning process, we can identify targeted groups of potential customers.Big data can even be used to predict which new products could function well in their market.
Analysis of customer sentiment-Customer reviews play an important role in the travel industry, Travelers read reviews posted on various websites and web platforms, and make decisions on their basis.Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, in particular to determine the attitude of the writer towards a particular product or subject is positive , negative or neutral.
Time analyzes play a key role in the tourism field.Models of tourism forecasting help much to predict travel activities for specific segments and segments of customers.The key role of real-time analysis is to find prospects for new deals over the long and short term.From past customer data a company can predict future business expansion opportunities.Customers travel trends and can all analyze their behavior using the data collected.Customers travel trends and can all analyze their behavior using the data collected. Data can be collected about previous travels of the customers, their liking.
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