Final answer:
The key features of the data analytics services for travel websites include storing large amounts of data, analyzing and interpreting the data, presenting data in different formats, and improving customer experience. The cost-effectiveness of the services depends on pricing, scalability, and value. Improvements for data storage can include implementing distributed storage systems. The impact on customer experience relies on how the insights are utilized.
Step-by-step explanation:
a) The key features of the data analytics services for the travel websites include the ability to store billions of customer events per day, data analysis and interpretation using statistics, and the ability to present data in different formats for better understanding.
b) The cost-effectiveness of the services will depend on factors such as the pricing structure of the service providers, the scalability of the services to handle the large volume of data, and the value that the analytics insights provide to the travel websites.
c) To improve data storage, the company can consider implementing a distributed storage system such as Hadoop or Apache Cassandra, which can handle large amounts of data and offer fault-tolerance and scalability.
d) The impact on customer experience will depend on how the analytics insights are utilized. If the insights are used to personalize recommendations or improve the user experience on the travel websites, it can positively impact customer experience.