Data Driven Digital Marketing The Art And Science Of Intelligent Decision Making

Download or read book Data-Driven Digital Marketing The Art and Science of Intelligent Decision-Making written by Milad Shemshaki and published by Milad Shemshaki. This book was released on with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book combines theoretical foundations with practical insights, case studies, and actionable strategies, making it an invaluable resource for marketing professionals, business leaders, students, and entrepreneurs alike. By exploring cutting-edge technologies and emphasizing the alignment of data-driven tactics with broader business objectives, Shemshaki equips readers with the knowledge and tools necessary to thrive in the digital age. Whether you're looking to enhance your data analysis skills, drive business growth through intelligent marketing decisions, or gain a competitive edge in the marketplace, this book provides a roadmap for leveraging data to create more meaningful connections with your audience and achieve measurable business results.

Download or read book Digital and Social Media Marketing written by Nripendra P. Rana and published by Springer Nature. This book was released on 2019-11-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.

Download or read book DATA-DRIVEN MARKETING IN THE AGE OF ARTIFICIAL INTELLIGENCE written by Dr. Raghava R. Gundala and published by Xoffencerpublication. This book was released on 2024-03-20 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to maximize the effectiveness of brand communication and propel the expansion of a company, data-driven marketing is a strategic strategy that makes use of consumer data. It entails gathering, analyzing, and making use of data from a variety of sources in order to obtain insights about the behavior, tastes, and trends of different types of customers. This information is then used to create marketing strategies, messaging, and campaigns to particular audiences, which ultimately results in marketing efforts that are more personalized and successful. The expansion of online platforms and the introduction of digital technology have both played a vital role in the development of data-driven marketing. Today's organizations have access to large volumes of data that are created by interactions with customers, activity on social media platforms, visits to websites, and other digital touchpoints. The abundance of data that is available to marketers gives them with important information on the demographics, interests, purchasing history, and online activity of their target audience population. The use of data has evolved into an essential component of successful marketing campaigns in this era of digital technology. The use of data-driven marketing completely transforms the method in which firms comprehend and interact with their clientele clients.[1] Businesses have the ability to get significant insights into the behavior, tastes, and trends of their customers by using the power of data analytics. This introduction serves as a doorway to explore the ideas, practices, and advantages of data-driven marketing. It gives organizations the ability to harness data to drive growth, improve customer connections, and maintain a competitive advantage in a market that is highly competitive. We invite you to accompany us on a trip into the realm of data-driven marketing, where each click, interaction, and transaction holds the key to unlocking new possibilities and driving success. Now that we have a better understanding of data-driven marketing, we will investigate the ways in which companies may efficiently gather, analyze, and make use of data in order to personalize their marketing efforts.

Download or read book Artificial Intelligence for Marketing written by Jim Sterne and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

Download or read book Intersection of AI and Business Intelligence in Data-Driven Decision-Making written by Natarajan, Arul Kumar and published by IGI Global. This book was released on 2024-08-28 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.

Download or read book Business Intelligence and Modelling written by Damianos P. Sakas and published by Springer Nature. This book was released on 2021-01-31 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc. The book is divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The chapters have been written by researchers and practitioners that demonstrate a special orientation in Strategic Marketing and Business Intelligence. This volume shares their recent contributions to the field and showcases their exchange of insights.

Download or read book HRM, Artificial Intelligence and the Future of Work written by Olatunji David Adekoya and published by Springer Nature. This book was released on with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: