Edge analytics, sentiment analysis, clickstream analysis, and location analysis are seen through a customer intelligence lens to ensure passengers are treated in a personalized way that will not only increase loyalty but turn passengers into apostles for the airlines they chose to fly on. Analytical processes like decision trees, k-means clustering, logistic regression and neural networks are explained in detail, with specific use cases detailing how they are used profitably in the aviation industry.
By utilizing AI, machine learning, and deep learning airlines can monitor the health of their airplanes, ensure employee satisfaction, and deliver an award-winning customer experience every time. The book lays out a blueprint for airlines to use to build a better overall operation. Data collected at multiple company and customer touch points can be utilized to increase customer satisfaction, as well as make the airline more profitable. An IoT-connected airline can make its operations smart. The book details how the five types of analytics-descriptive, diagnostic, predictive, prescriptive, and edge analytics-affect not only the customer journey, but also just about every operational function within an airline. The Predictive Airliner reveals how these and other technologies can help shape the customer journey. Today, technology such as AI, Machine Learning, Augmented Reality, IoT, Real-time stream processing, social media, streaming analytics and wearables are altering the Customer Experience (CX) landscape and airlines need to jump aboard this fast moving technology or run the risk of being left out in the cold. The Predictive Airliner is an airline that utilizes the latest technology to deliver an exceptional personalized experience to each and every passenger it flies. This book will help sports betting executives break through the technological clutter so that they can deliver an unrivaled customer experience to each and every one of their patrons to ensure that they keep coming through those front doors, as well as onto their websites. The final chapter brings everything together, explaining how AI, ML, Hadoop, data lakes, and real-time streaming can turn a sports book's data into a treasure trove of information that can create powerful one-to-one customer relationships that patrons will recognize.
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The Predictive Sports Book breaks down social media into its six different categories - collaborative projects, blogs and micros blogs, content communities, social networks, virtual game worlds and virtual social worlds - and shows sports books how to utilize each one to both market to individuals as well as to attain real-time competitive intel. Social media can also be utilized as a place to gauge a customers psychological profile it's amazing how much information there is in a Facebook like or a Twitter Tweet. The Predictive Sports Book knows that social media can produce a healthy ROI, if done properly. Social media is no longer a vanity platform, but rather it is a place to both connect with current customers as well as court new ones. Connected devices can help with inventory optimization, labor management, marketing, and customer experience, as well as keep its data centers green and its energy use smart. An IoT-connected sports book can make its operations smart. The book details how the five types of analytics-descriptive, diagnostic, predictive, prescriptive, and edge analytics-affect not only the customer journey, but also just about every operating function in the sports book. The Predictive Sports Book reveals how these and other technologies can help shape the customer journey. The Predictive Sports Book is a sports betting company that utilizes the latest technological developments to connect with their customers, while delivering an exceptional personalized experience to each and every one of them.
Sports books need to jump aboard this fast moving technology or run the risk of being left behind by their competitors.
Today, technology such as AI, Machine Learning, Augmented Reality, IoT, Real-time stream processing, social media, psychometrics, and wearables are radically altering the Customer Experience (CX) landscape.
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