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The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. The new edition includes chapters on clusters and associations and text mining to support predictive models. An additional case is also included that can be used with each chapter or as a semester project.

Predictive Analytics in System Reliability

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This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering. The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.

Digital Economy, Business Analytics, and Big Data Analytics Applications

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This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

How to Measure Digital Marketing

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Measuring the Success of Digital Marketing explains how to determine the success of a digital marketing campaign by demonstrating what digital marketing metrics are as well as how to measure and use them. Including real life case studies and experts viewpoints that help marketers navigate the digital world.

Digital Marketing Guide : The Complete Content Marketing Handbook for Small Businesses

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Find Digital Marketing Guide by Deborah Lynne Killion in Paperback and other formats in Business & Economics > Marketing - Direct.

The credit card "scheme" and controversy of U.S. college students (4)

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many argue that this will not work, that credit card marketing in society will always affect college students, and that card issuers will always find ways to get around the rules.