Conclusion
- In many cases, there were major differences between the availability and use of data. Although the Tyrolean TOs have more data, the Swiss TOs use their data more efficiently.
- A data strategy combined with expertise in data analysis helps to uncover the hidden treasure in the data. However, if there is not enough time for this, as is the case with many tourism organizations, the potential remains untapped.
- Evaluating existing data should be a much higher priority for DMOs. In addition, cooperation with other stakeholders offers the opportunity to overcome financial and personnel barriers in the area of data use.
- The strategic value of meaningful and timely data usage and data sovereignty for the TO will form the basis for a competitive advantage in the future.
Literature
Li, X., Pan, B., Law, R., & Huang, X. (2017). Forecasting tourism demand with composite search index. Tourism Management, 59, 57-66.
Yang, X., Pan, B., Evans, J. A., & Lv, B. (2015). Forecasting Chinese tourist volume with search engine data. Tourism Management, 46, 386-397.

