Predictive Analytics and the Travel Industry
In the last blog post we briefly mentioned Predictive Analytics, today we will be discussing more. Predictive analytics can be defined as the advanced analytics to which predictions are made for unknown future events. Predictive analytics makes use of a number of different techniques such as data mining, statistics, modelling, machine learning and of course artificial intelligence to analyze current data to make predictions about the future. Data mining, predictive modelling and analytical techniques help bring together information, management and the business model process together to help make predictions about the future. Patterns discovered transactions and history can help identify risks and opportunities for the future. How the Travel industry benefits from predictive analytics 1) Recommendation engines for upselling and cross-selling: Recommendation systems increase the value a ...