New Data Expansion and Establishment of Regional Tourism Convergence Analysis Service
Enhanced Analysis Functions by User Level

The 'Korea Tourism Data Lab,' a tourism-specialized big data platform operated by the Ministry of Culture, Sports and Tourism and the Korea Tourism Organization, has completed its functionality enhancement and started service on the 24th. The photo shows the main page of the Korea Tourism Data Lab. Photo by Korea Tourism Organization

The 'Korea Tourism Data Lab,' a tourism-specialized big data platform operated by the Ministry of Culture, Sports and Tourism and the Korea Tourism Organization, has completed its functionality enhancement and started service on the 24th. The photo shows the main page of the Korea Tourism Data Lab. Photo by Korea Tourism Organization

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[Asia Economy Reporter Kim Heeyoon] The Ministry of Culture, Sports and Tourism and the Korea Tourism Organization announced on the 28th that they have completed the enhancement of the functions of the country’s only tourism-specialized big data platform, ‘Korea Tourism Data Lab,’ and will reopen it with new features.


The Korea Tourism Data Lab, which started its service on the 24th, was launched in February last year. It is a service that enables tourism-specialized integrated analysis using various data such as mobile communications, credit cards, navigation, tourism statistics, and research surveys. Marking its first year of operation, the enhancement was carried out reflecting user feedback and customer demand surveys.


The upgraded Data Lab previously analyzed tourism consumption using only BC Card data, but now by additionally utilizing Shinhan Card data, it is possible to analyze regional tourism consumption expenditures close to the total population. Furthermore, it analyzes tourism consumption expenditures by industry at the basic local government level, moving beyond the previous metropolitan government unit analysis.


Additionally, in navigation data, besides destination data, departure data has been newly collected to analyze the movement routes of regional visitors. New data on SNS-related keywords and mention volumes by local governments and tourist sites have also been collected, allowing identification of regions with high consumer interest and related keywords.


To provide easier in-depth regional tourism analysis results, integrated analysis services have also been added. The ‘Regional Data Lab’ offers services such as ‘AI Tourism Analysis,’ which easily analyzes travel behavior of regional visitors using various heterogeneous data, and ‘Tourism Diagnostic Indicators Regional Comparison,’ which allows comparison of regional characteristics and inter-regional analysis of travel destinations.


Moreover, considering differences in users’ analytical capabilities, functions enabling various levels of analysis have been strengthened. For beginner users, visualization services have been enhanced with national and regional dashboards and automatic insight analysis services to allow quick confirmation of analysis results. For intermediate users, the ‘My Data Lab’ service enables the creation of customized dashboards. For advanced users, an Online Analytical Processing (OLAP) function is provided to perform cross-analysis among various items independently.



Kim Youngmi, Head of the Tourism Big Data Office at the Korea Tourism Organization, said, “With this third phase enhancement of the Korea Tourism Data Lab, we plan to continuously upgrade the service,” adding, “In the future, we will conduct big data analysis linked to major tourism policy projects and data-based regional tourism consulting projects to enable data-driven problem solving, as well as provide education to increase the utilization of tourism big data.”


This content was produced with the assistance of AI translation services.

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