Data analytics in the tourism sector
The digital transformation makes it easier for us to obtain a series of reliable data extracted from the information generated on the Internet, our own published information, and the opinions left by users across the web.
This is used so that by properly analyzing the data, it helps us in decision-making and in improving the products and services offered by a business.
Data analytics is a process that should be evaluated by:
1 |
Destination managers. |
2 |
Tourism consultants. |
3 |
Competent authorities. |
Reports that influence data analysis
To perform data analysis, Kunapak uses Big Data and presents the results in a user-friendly and easy-to-understand report.
Analysis is performed on 4 types of reports:
1 |
Data analytics for the destination. |
2 |
UX Analysis on the destination portal. |
3 |
Data capture system. |
4 |
Simplified report with predictive report and system recommendations. |
These reports and analyses will be made available by Kunapak to be reviewed by the destination authorities.
Why is data analysis important?
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| Data analysis will help you make smarter decisions, gain in-depth knowledge of the destination, and achieve more efficient management of it. |
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| It will allow you to analyze the tourist’s purchase intention, identify the content within the e-commerce that is most relevant and retains travelers the longest, among others. |
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| With these analyses and their benefits, the destination will become more competitive in the market. Tourists will be able to enjoy more personalized and smarter travel experiences. |
