Related Papers
2011 •
Michael Staines
The Predictive Sports Book
The Predictive Sports Book
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. Sports books need to jump aboard this fast moving technology or run the risk of being left behind by their competitors. 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. The Predictive Sports Book reveals how these and other technologies can help shape the customer journey. 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. An IoT-connected sports book can make its operations smart. 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. 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. The Predictive Sports Book knows that social media can produce a healthy ROI, if done properly. 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 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. 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. 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.
E-marketing : theory and application
2011 •
Stephen Dann
Page 1. palgrave macrmllan e-marketing theory and application Stephen Dann Susan Dann Page 2. e-marketing theory and application Stephen Dann and Susan Dann Page 3. © Stephen Dann and Susan Dann 2011 All rights reserved. ...
The Predictive Casino
Andrew Pearson
The Predictive Casino is a casino that utilizes the latest technological developments to connect with its customers to deliver an exceptional personalized experience to each and every one of its patrons. Today, technology such as AI, Machine Learning, Augmented Reality, IoT, Real-time stream processing, social media, and wearables are altering the Customer Experience (CX) landscape and casino operators need to jump aboard this fast moving technology or run the risk of being left out in the cold. The Predictive Casino reveals how these and other technologies can help shape the customer journey. 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 of the casino. Facial recognition technology can spot a customer stepping onto a casino bus at the Macau/China border and that set off alerts that can notify a host on the floor, a restaurant manager, a dealer, or even the hotel’s GM should the player be a high-end VIP. A whole other sequence of events gets triggered as the player’s favorite table is prepared, his favorite, and his or her Theo gets added to a real-time table games revenue management model that takes into account his personal play. Labor needs are also considered and alerts can be sent to the required or unneeded staff. An IoT connected casino can make its operations smart. Connected devices can help with inventory optimization, supply chain management, labor management, waste management, as well as keep its data centers green and its energy use smart. Social media is no longer a vanity platform, but rather a place to both connect with current customers as well as court new ones. It is also a powerful branding channel that can be utilized to both understand a casino's position in the market, as well as a place to benchmark its position against its competitors. Today, technology moves at break-neck speed and it can offer the potential of anticipatory capabilities, but it also comes with a confusing variety of technology and technological terms--Big Data, Cognitive Computing, CX, Data Lakes, Hadoop, Kafka, Personalization, Spark, etc., etc. The Predictive Casino will help make sense of it all, so that a casino executive can cut through the confusing technological jargon and understand why a Spark-based real-time stream processing data stream might be preferable over a TIBCO one, or an IBM one. This book will help casino executives break through the technological clutter so that they can deliver an unrivaled customer experience to each and every patron coming through their doors.
The Predictive Retailer
Andrew Pearson
The Predictive Retailer is a retail company that utilizes the latest technological developments to connect with its customers to deliver an exceptional personalized experience to each and every one of them. Today, technology such as AI, Machine Learning, Augmented Reality, IoT, Real-time stream processing, social media, and wearables are altering the Customer Experience (CX) landscape and retailers need to jump aboard this fast moving technology or run the risk of being left out in the cold. The Predictive Retailer reveals how these and other technologies can help shape the customer journey. 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 of the retailer. An IoT connected retailer can make its operations smart. Connected devices can help with inventory optimization, supply chain management, labor management, waste management, as well as keep its data centers green and its energy use smart. 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. It is also a powerful branding channel that can be utilized to both understand a retailer's position in the market, as well as a place to benchmark its position against its competitors. Today, technology moves at break-neck speed and it can offer the potential of anticipatory capabilities, but it also comes with a confusing variety of technology and technological terms--Big Data, Cognitive Computing, CX, Data Lakes, Hadoop, Kafka, Personalization, Spark, etc., etc. The Predictive Retailer will help make sense of it all, so that a retail executive can cut through the confusing technological jargon and understand why a Spark-based real-time stream processing data stream might be preferable over a TIBCO Streambase one, or an IBM Streaming Analytics one. This book will help retail executives break through the technological clutter so that they can deliver an unrivaled customer experience to each and every patron that comes through their doors.
The Predictive Airline
The Predictive Airliner
2019 •
Andrew Pearson
The Predictive Airliner is an airline that utilizes the latest technology to deliver an exceptional personalized experience to each and every passenger it flies. 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 reveals how these and other technologies can help shape the customer journey. 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. An IoT-connected airline can make its operations smart. Data collected at multiple company and customer touch points can be utilized to increase customer satisfaction, as well as make the airline more profitable. The book lays out a blueprint for airlines to use to build a better overall operation. 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. 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. 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. Connected devices can help with inventory optimization, supply chain management, labor management, waste management, as well as keep the airline’s data centers green and its energy use smart. 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. It is also a powerful branding channel that can be utilized to both understand an airline’s position in the market, as well as a place to benchmark its position against competitors. The Predictive Airliner reveals how airlines can utilize this channel in a multitude of ways to connect with customers, as well as help in moments of crisis. Today, technology moves at break-neck speed and it can offer the potential of anticipatory capabilities, but it also comes with a confusing variety of technological terms--Big Data, Cognitive Computing, CX, Data Lakes, Hadoop, Kafka, Personalization, Spark, etc., etc. The Predictive Airliner will help airline executives make sense of it all, so that he or she can cut through the confusing clutter of technological jargon and understand why a Spark-based real-time stream processing data stream might be preferable to a TIBCO Streambase one, or none at all. The final chapter explains how an airline can utilize the concept of the customer journey as a roadmap to increase customer satisfaction. This book will help airline executives break through the technological clutter so that they can deliver an unrivaled customer experience to each and every passenger who steps aboard their planes.
