Kirjahaku

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures.Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures.Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.

In recent years there have been dramatic changes in the pharmaceutical promotional landscape, affecting both consumers and healthcare professionals. One consequence of these dynamics is the need for pharmaceutical companies to plan new kinds of dialogue and relationships with their stakeholders. The evolution has been from mass-channel "push" marketing to two-way, multi-channel relationship marketing. Targeted Emails, webinars, mobile messages, and social networks are expanding in usage. This book is a practical overview and resource guide for the design and measurement of pharmaceutical relationship marketing (RM) programs. There are descriptions of each aspect of pharmaceutical RM design and measurement, including a running case study with follow-up exercises. The author has also conducted interviews from several pharmaceutical marketing industry experts, each having 15 years or more of working healthcare RM knowledge, and each speaking on their specific specialities. For newcomers to healthcare marketing, this book can serve as a foundation and introduction that provides framework, details, and examples of both relationship marketing designs and associated measurement disciplines. Healthcare Relationship Marketing will also be valuable to readers currently working in pharmaceutical marketing or sales who may not have exposure to the particular disciplines of relationship marketing and direct response measurement and optimization. Even for the experienced practitioner this will serve as a convenient reference that pulls together all of the program components and measurement frameworks within a single book. This book may also serve as a textbook within a university course in marketing, or a pharmaceutical business program.

In recent years there have been dramatic changes in the pharmaceutical promotional landscape, affecting both consumers and healthcare professionals. One consequence of these dynamics is the need for pharmaceutical companies to plan new kinds of dialogue and relationships with their stakeholders. The evolution has been from mass-channel "push" marketing to two-way, multi-channel relationship marketing. Targeted Emails, webinars, mobile messages, and social networks are expanding in usage. This book is a practical overview and resource guide for the design and measurement of pharmaceutical relationship marketing (RM) programs. There are descriptions of each aspect of pharmaceutical RM design and measurement, including a running case study with follow-up exercises. The author has also conducted interviews from several pharmaceutical marketing industry experts, each having 15 years or more of working healthcare RM knowledge, and each speaking on their specific specialities. For newcomers to healthcare marketing, this book can serve as a foundation and introduction that provides framework, details, and examples of both relationship marketing designs and associated measurement disciplines. Healthcare Relationship Marketing will also be valuable to readers currently working in pharmaceutical marketing or sales who may not have exposure to the particular disciplines of relationship marketing and direct response measurement and optimization. Even for the experienced practitioner this will serve as a convenient reference that pulls together all of the program components and measurement frameworks within a single book. This book may also serve as a textbook within a university course in marketing, or a pharmaceutical business program.