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Zeithaml/Bitner/Gremler, Services Marketing introduces readers to the vital role that services play in the economy and its future. Services dominate the advanced economies of the world, and virtually all companies view services as critical to retaining their customers. . Managerial focused approach emphasizing the knowledge needed to implement service strategies for competitive advantage across industries. . New chapter on "Artificial Intelligence and Service Robotics" and the implications for service marketing. . New research references and examples in every chapter of new business models such as Airbnb and Uber along with greater emphasis on technology, digital and social marketing, Big Data, and data analytics as a service. . McGraw Hill's Connect provides personalized reading experience with Smartbook, variety of test bank questions and Application-Based Activities supporting critical thinking and application skills development.
Math for Business & Finance: An Algebraic Approach provides modern examples for students to understand business mathematics and make connections with real-world applications. The course covers mathematical concepts from an algebraic approach, combined with Business applications. Every chapter is devoted to a Personal Finance theme, with topics that include Payroll and the Cost of Purchasing a Home. There is also extensive integration of scientific calculator notation, and also has the Wall Street Journal and Kiplinger news clips that have been widely popular in Jeffrey Slater's other two Business Math texts. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
Introduction to Business Analytics recognizes that students need to develop the skills to ask the right questions, learn to use common workplace tools (such as Excel®, Tableau®, and Power BI®) to examine and analyze data, and interpret results accurately and effectively to make business decisions. Richardson 1e provides a framework for developing a business analytics mindset called the SOAR analytics model which is composed of four steps- Specify the question, Obtain the data, analyze the data, and report the results. This model is used throughout the text in conjunction with the various types of data analysis that analysts need to perform. The lab activities, which appear at the end of each chapter, follow this framework to reinforce the analytical process. A capstone in the final chapter provides three projects that apply the complete SOAR model.
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