State Of The Art Implementation Of Big Data In Strategic And Operative Marketing Challenges And Effective Responses
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State Of The Art Implementation Of Big Data In Strategic And Operative Marketing Challenges And Effective Responses
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Author : Matti Bouffier
language : en
Publisher: GRIN Verlag
Release Date : 2021-11-12
State Of The Art Implementation Of Big Data In Strategic And Operative Marketing Challenges And Effective Responses written by Matti Bouffier and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-12 with Business & Economics categories.
"Data is the new gold" and "The world's most valuable resource is no longer oil, but data" – Headlines like these, published by The Economist and the World Economic Forum in 2017 and 2020, underline the crucial role data plays in business nowadays. Big Data has become the "Holy Grail" for health, security, administration, and marketing businesses. This paper seeks to understand the significance of Big Data for the marketing sector. How is the state of the art regarding the implementation of Big Data supporting and enhancing strategic as well as operative marketing activities? Which challenges are companies facing while adopting Big Data, and how can they respond most effectively to them? Matti Bouffier explores the potentials and challenges of Big Data by providing a well-researched theoretical elaboration of the technological dimensions of Big Data implementation. His analysis is supported by expert interviews, which further illuminate the impact Big Data has on real-life marketing business. By bridging the gap between theory and praxis, Bouffier is able to give recommendations for how to address the main challenges and harness the potentials of Big Data implementation. Inside the book: - Data-driven marketing; - Big Data in marketing; - Challenges; - Correlation-driven analysis; - Causality-driven analysis
The Intelligent Marketer S Guide To Data Privacy
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Author : Robert W. Palmatier
language : en
Publisher: Springer
Release Date : 2019-02-02
The Intelligent Marketer S Guide To Data Privacy written by Robert W. Palmatier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-02 with Business & Economics categories.
Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet efforts often ignore customers’ privacy concerns and feelings of vulnerability with long-term effects on customers’ trust, relationships, and ultimately financial performance. Big data, privacy, and cybersecurity often is relegated to IT and legal teams with minimal regard for customer relationships. This book fills the void by taking a customer-centric approach to privacy. It offers both defensive and offensive marketing-based privacy strategies that strongly position firms in today’s data-intensive landscape. The book also helps managers anticipate future consumer and legislative trends. Drawing from the authors’ own work and extant research, this book offers a compelling guide for building and implementing big data- and privacy-informed business strategies. Specifically, the book: · -Describes the consumer psychology of privacy · -Deconstructs relevant legal and regulatory issues · - Offers defensive privacy strategies · - Describes offensive privacy strategies · Provides an executive summary with the Six Tenets for Effective Privacy Marketing This book will be useful to managers, students, or the casual reader who is interested in how and why big data and consumer privacy are transforming business. Moving beyond summary privacy insights, the book also offers a detailed and compelling action plan for improving performance by protecting against privacy threats as well as developing and implementing offensive privacy strategy. In the future, many firms will be competing through an integrated, customer-centric big data privacy strategy and this book will guide managers in this journey.
Big Data
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Author : Amandeep Singh
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-09-06
Big Data written by Amandeep Singh and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-06 with Business & Economics categories.
Imagine being able to target an audience made up of highly qualified and purchase-ready prospects and easily building them into loyal clients by anticipating their needs and hence offering true value. This is the power of big data for digital marketing. Big Data: A Roadmap for Successful Digital Marketing explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management. As the marketing world moves into a data-focused future, the success of marketing efforts will be wholly based on attention to detail in data analysis and effectively acting on insights in order to implement changes that will deliver improved results. This book will help professionals succeed in their digital marketing efforts as well as provide food for thought for students and researchers in the fields of digital marketing, customer behavior and big data analytics.
Applications Of Big Data Analytics
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Author : Mohammed M. Alani
language : en
Publisher: Springer
Release Date : 2018-07-23
Applications Of Big Data Analytics written by Mohammed M. Alani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-23 with Computers categories.
This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.
Social Big Data Analytics
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Author : Bilal Abu-Salih
language : en
Publisher: Springer Nature
Release Date : 2021-03-10
Social Big Data Analytics written by Bilal Abu-Salih and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-10 with Business & Economics categories.
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
Big Data Analytics A Management Perspective
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Author : Francesco Corea
language : en
Publisher: Springer
Release Date : 2016-05-24
Big Data Analytics A Management Perspective written by Francesco Corea and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-24 with Technology & Engineering categories.
This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.
Big Data Analytics Techniques For Market Intelligence
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-04
Big Data Analytics Techniques For Market Intelligence written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.
Effective Big Data Management And Opportunities For Implementation
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Author : Singh, Manoj Kumar
language : en
Publisher: IGI Global
Release Date : 2016-06-20
Effective Big Data Management And Opportunities For Implementation written by Singh, Manoj Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Computers categories.
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
The Definitive Guide To Marketing Analytics And Metrics Collection
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Author : Cesar Brea
language : en
Publisher: FT Press
Release Date : 2014-08-18
The Definitive Guide To Marketing Analytics And Metrics Collection written by Cesar Brea and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-18 with Business & Economics categories.
A brand new collection introducing today's most powerful strategies and techniques for measuring and optimizing marketing… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative Books help you measure, analyze, and optimize every marketing investment you'll ever make Measuring and optimize your marketing investments is more crucial than ever. But, with an explosion in channels and complexity, it's also more challenging than ever. Fortunately, marketing metrics and analytics have taken giant leaps forward in recent years: techniques now exist for accurately quantifying performance and applying what you learn to improve it. In this unique 3 Book package, world-class experts present these new approaches, and show how to profit from them. In Marketing and Sales Analytics, leading consultant Cesar A. Breaexamines the experiences of 15 leaders who've built high-value analytics capabilities in multiple industries. Then, building on what they've learned, he presents a complete blueprint for succeeding with marketing analytics. You'll learn how to evaluate "ecosystemic" conditions for success, frame the right questions, and organize your people, data, and operating infrastructure to answer them. Brea helps you overcome key challenges ranging from governance to overcoming hidden biases. Along the way, he also offers specific guidance on crucial decisions such as "buy vs. build?", "centralize or decentralize?", and "hire generalists or specialists?" Next, in Cutting Edge Marketing Analytics, three pioneering experts introduce today's most valuable marketing analytics methods and tools, and offer a best-practice methodology for successful implementation. They augment this knowledge with hands on case studies, guiding you through solving key problems in resource allocation, segmentation, pricing, campaign management, firm valuation, and digital marketing strategy. All case studies are accompanied by real data used by the protagonists to make decisions. As you practice, you'll gain a deeper understanding of the value of marketing analytics, learn to integrate quantitative analysis with managerial sensibilities, master core statistical tools, and discover how to avoid crucial pitfalls. Finally, in the award-winning Marketing Metrics, Second Edition, Paul W. Farris and his colleagues show how to choose the right metrics for every marketing challenge. You'll learn how to use dashboards to view market dynamics from multiple perspectives, maximize accuracy, and "triangulate" to optimal solutions. You'll discover high-value metrics for promotional strategy, advertising, distribution, customer perceptions, market share, competitors' power, margins, pricing, products and portfolios, customer profitability, sales forces, channels, and more. This extensively updated edition introduces innovative metrics ranging from Net Promoter to social media and brand equity measurement, and shows how to build comprehensive models to optimize every marketing decision you make. If you need to measure and improve marketing performance, this 3-book package will be your most valuable resource. From world-renowned business sustainability experts Cesar A. Brea, Rajkumar Venkatesan, Paul W. Farris, Ronald T. Wilcox, Neil T. Bendle, Phillip E. Pfeifer, and David J. Reibstein
Creating Value With Big Data Analytics
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Author : Peter C. Verhoef
language : en
Publisher: Routledge
Release Date : 2016-01-08
Creating Value With Big Data Analytics written by Peter C. Verhoef and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Business & Economics categories.
Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.