[PDF] Marketing Automation And Decision Making eBook
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The ever-evolving marketing technologies now include the extensive use of advanced AI with important implications for the decision making processes of both marketers and consumers. This detailed and insightful book rigorously examines the role of heuristics and marketers’ decision making within the industry’s growing utilisation of AI.
Marketing Decision Making and Decision Support addresses the topic of marketing management support systems (MMSS), which are computer-enabled devices that help marketers to make better decisions.
This book clarifies based on latest findings and research what one needs to know about marketing and sales automation, how to manage projects to implement them, select and implement tools, and what results can be achieved. It also outlines what can be expected in the future such as the automation of corporate communication and Human Resources. The range of topics spans from the creation of a valid data base in the context of applied AI for realizing predictive intelligence and the effects of data regulations such as the European General Data Protection Regulation (GDPR) when addressing customers and prospects to recommendations for selecting and implementing the necessary IT systems. Experts also report on their experiences in regard to Conversion-rate-optimization (CRO) and provide tips and assistance on how to optimize and ensure the highest RoI for marketing and sales automation. A special focus will be placed on the dovetailing of marketing and sales and the management of the customer journey as well as the improvement of the customer experience.
Author : Alan N. Fish Publisher : John Wiley & Sons Page : 208 pages File Size : 39,3 MB Release : 2012-02-08 Category : Business & Economics ISBN : 1118236793
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
This unique book comprehensively presents the current state of knowledge, theoretical and practical alike, in the field of business-to-business (B2B) marketing. More than 30 of the best and most recognized B2B marketers address the most relevant theoretical foundations, concepts, tried and tested approaches and models from entrepreneurial practice. Many of those concepts are published for the first time ever in this book. The book not only builds on the existing classic literature for industrial goods marketing but also – and much more importantly – finally closes the gap towards the rapidly growing ecosystem of modern B2B marketing terms, instruments, products, and topics. Technical terms such as Account-Based Marketing, Buyer Journey, ChatBots, Content AI, Marketing Automation, Marketing Canvas, Social Selling, Touchpoint Sensitivity Analysis, and Predictive Intelligence are explained and examined in detail, especially in terms of their applicability and implementation. The book as a whole reflects the B2B marketing journey so that the readers can directly connect the content to their own experience and use the book as a guide in their day-to-day work for years to come.
Digital transformation is spreading throughout every industry all over the world. Acquiring new technologies to use within business practices increases productivity and strengthens the connection between businesses and their consumers. The digital transformation process and automation promotion must be intensified and explored globally so that economies can grow and develop, providing a better quality of life for their populations. Implementing Automation Initiatives in Companies to Create Better-Connected Experiences explores the most current and decisive topics for business and academia. It evaluates the ways in which automation and connectivity help the decision-making process of companies and the learning process for students and researchers. Covering topics such as consumer behavior, omnichannel retailing, and metaverse applications in business, this premier reference source is an excellent resource for business executives and managers, IT managers, marketers, agencies, government officials, students and faculty of higher education, researchers, and academia.
In today's market, it takes more than good products and services to succeed. Successful marketing requires more precise segmentation and more sophisticated communications with customers--the lifeblood of every business--than ever before. Expertly explaining the components of marketing automation and their application and benefit to the marketing process, Marketing Automation shows you how to develop more effective and targeted direct marketing campaigns, from the planning and execution of promotions to the complete leveraging of marketing to increase your profits. Designed to get you quickly up to speed, you will discover: * How to evolve complex, yet agile, customer communication strategies * Ways to focus already limited marketing resources on the right opportunities * Advice on viewing, tracking, and measuring results * How to optimally use current software applications to empower you to effect stronger, more responsive marketing programs Straightforward and balanced, this essential guide presents a new and better way to strengthen your competitive position by using your precious customer data to increase your bottom line. Required reading for executives, marketing managers, and anyone needing to know the essentials of maximizing the profitability of every customer relationship for their business, Marketing Automation makes every marketing dollar count with a sound road map all executives can understand and follow.
Author : Claus Grand Bang Publisher : Taylor & Francis Page : 327 pages File Size : 13,83 MB Release : 2024-08-22 Category : Business & Economics ISBN : 1040103332
Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.
Bachelor Thesis from the year 2020 in the subject Business economics - Business Management, Corporate Governance, grade: 1,1, University Pontificia Comillas Madrid, language: English, abstract: This thesis is concerned with what AI is capable of in decision-making when involved in organizational decision-making processes or embedded in offered products that per-form decisions. It is also concerned with what is lost and what is gained through its use and which risks businesses face when applying it. It adds value to previous work conducted on challenges and risks by explaining these from a business perspective focusing on the economic implications for organizations. The resulting overview on chances and risks can serve organizations interested in AI investments to augment or automate decision-making in understanding the risk situation and potentials in this field. In the first chapter AI is introduced in a comprehensible way for non-computer scientists and its relevance for business is outlined. Subsequently, decision processes and how humans and AI tackle them are explained which provides a foundation to under-stand respective strengths and limitations of humans and AI in decision-making. The third chapter explains how AI can be applied in decision-making in businesses processes and products that perform decisions providing benchmark examples. Autonomous driving and recruiting are presented as examples for decision automation and decision augmentation respectively on the basis of which benefits and challenges will be explained. Focusing on these examples aims at making the possible associated effects of using AI in decision-making processes more tangible and understandable for business professionals.
In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of artificial intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships.