Day 7:

• definition and characteristics of Big Data analytics;
• how Big Data analytics has influenced the development of travel and tourism;
• what issues and challenges of Big Data analytics confront the hospitality and tourism industry;
• the recent development of Big Data analytics;
• how to  estimate visitor volumes and visitor behavior with Big Data;
• the ways to apply Big Data analytics capability in the hospitality industry; and
• how to forecast weekly hotel occupancy with Big Data.

消费者行为、数量

帮助政府分配税收

预测

Issues and Challenges of Big Data Analytics

The use of big data also raises big issues with respect to information governance and how we can correctly derive the value of information in tourism

Privacy is a concern in the context of smart tourism especial location-based services while extremely useful for tourists also make consumers vulnerable

In recent years there have been growing criticism and concern about the data-driven approach in terms of some of the
methodological dilemmas and inductive reasoning in the implementation of big data analytics

research direction

1、Using Big Data to predict travel demand

2、Using geospatial data to understand market patterns

3、Using wearable technologies to understand tourism experience

4、Using Web and social media to understand travel market and the tourism products

大数据分析

对数据里有意义的模式的发现和沟通

应用研究

归纳推理

首先，大数据的使用引发一些信息管理烦恼歌面的问题以及我们如何正确获取旅游业中信息的价值的问题。提到管理，我们指的是税来控制数据，谁拥有数据以及数据如何在旅游商家和景点之间共享。

第二，隐私也是一个非常重要的考量，特别是基于位置的服务。虽然对游客来说十分有用，但基于位置的服务，同样也使消费者十分担忧。

近些年，越来越多关于方法论上的两难困境和在实施大数据分析时的归纳推理所产生的数据驱动服务的批判和担心。更重要的是，我们应该问的一个基本问题是，我们如何测量大数据领域里信息的质量。