Business And Consumer Analytics New Ideas

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Business and Consumer Analytics: New Ideas

Author : Pablo Moscato
Publisher : Springer
ISBN 13 : 3030062228
Total Pages : 1005 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Business and Consumer Analytics: New Ideas by : Pablo Moscato

Download or read book Business and Consumer Analytics: New Ideas written by Pablo Moscato and published by Springer. This book was released on 2019-05-30 with total page 1005 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Business and Consumer Analytics

Author : Pablo Moscato
Publisher :
ISBN 13 : 9783030062231
Total Pages : pages
Book Rating : 4.0/5 (622 download)

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Book Synopsis Business and Consumer Analytics by : Pablo Moscato

Download or read book Business and Consumer Analytics written by Pablo Moscato and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection , Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Consumer Behaviour and Analytics

Author : Andrew Smith
Publisher : Taylor & Francis
ISBN 13 : 1000982998
Total Pages : 231 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Consumer Behaviour and Analytics by : Andrew Smith

Download or read book Consumer Behaviour and Analytics written by Andrew Smith and published by Taylor & Francis. This book was released on 2023-11-08 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and artificial intelligence, this key text reviews the issues, research and concepts essential for navigating this new terrain. It demonstrates how we can use data-driven insight and merge this with insight from extant research to inform knowledge-driven decision-making. Adopting a practical and managerial lens, while also exploring the rich lineage of academic consumer research, this textbook approaches its subject from a refreshing and original standpoint. It contains numerous accessible examples, scenarios and exhibits, and condenses the disparate array of relevant work into a workable, coherent, synthesized and readable whole. Providing an effective tour of the concepts and ideas most relevant in the age of analytics-driven marketing (from data visualization to semiotics), the book concludes with an adaptive structure to inform managerial decision-making. Consumer Behaviour and Analytics provides a unique distillation from a vast array of social and behavioural research merged with the knowledge potential of digital insight. It offers an effective and efficient summary for undergraduate, postgraduate or executive courses in consumer behaviour and marketing analytics, and also functions as a supplementary text for other marketing modules. Online resources include PowerPoint slides.

ICTR 2021 4th International Conference on Tourism Research

Author : Prof Cândida Silva
Publisher : Academic Conferences International
ISBN 13 : 191276492X
Total Pages : pages
Book Rating : 4.9/5 (127 download)

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Book Synopsis ICTR 2021 4th International Conference on Tourism Research by : Prof Cândida Silva

Download or read book ICTR 2021 4th International Conference on Tourism Research written by Prof Cândida Silva and published by Academic Conferences International. This book was released on 2021-05-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Conference Proceedings of 4th International Conference on Tourism Research

Social Media Storms

Author : Pernille Rydén
Publisher : Routledge
ISBN 13 : 1000432769
Total Pages : 123 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Social Media Storms by : Pernille Rydén

Download or read book Social Media Storms written by Pernille Rydén and published by Routledge. This book was released on 2021-08-25 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fascinating new book explores the benefits and dynamics of social media storms and identifies the possible opportunities that they present for further engagement with customers. It provides actionable managerial advice on planning for, measuring, and innovatively navigating social media storms. Based on a sound theoretical background and illustrated by vivid real-life examples and case studies throughout every chapter, this book combines thorough explanations of the elements of business decision-making, market interaction, consumer psychology, branding, and business communication. In comparison to the existing literature, the book departs from the classical, but insufficient crisis communication management approaches to suggest novel frameworks and tools for empowering businesses, consumers, and broader societies in the digital age. Social Media Storms: Empowering Leadership Beyond Crisis Management provides advanced undergraduate and postgraduate digital marketing, marketing communications, strategy, and crisis management students with a comprehensive understanding of the social media storm phenomenon and helps marketing and communications professionals to leverage the opportunities that social media storms are bringing.

Analytics and Dynamic Customer Strategy

Author : John F. Tanner, Jr.
Publisher : John Wiley & Sons
ISBN 13 : 1118905733
Total Pages : 256 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Analytics and Dynamic Customer Strategy by : John F. Tanner, Jr.

Download or read book Analytics and Dynamic Customer Strategy written by John F. Tanner, Jr. and published by John Wiley & Sons. This book was released on 2014-06-30 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.

Applied Optimization and Swarm Intelligence

Author : Eneko Osaba
Publisher : Springer Nature
ISBN 13 : 9811606625
Total Pages : 236 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Applied Optimization and Swarm Intelligence by : Eneko Osaba

Download or read book Applied Optimization and Swarm Intelligence written by Eneko Osaba and published by Springer Nature. This book was released on 2021-05-17 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.

Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era

Author : Keikhosrokiani, Pantea
Publisher : IGI Global
ISBN 13 : 1668441705
Total Pages : 484 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era by : Keikhosrokiani, Pantea

Download or read book Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2022-06-24 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.

Intelligent Healthcare Systems

Author : Vania V. Estrela
Publisher : CRC Press
ISBN 13 : 1000954323
Total Pages : 399 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Healthcare Systems by : Vania V. Estrela

Download or read book Intelligent Healthcare Systems written by Vania V. Estrela and published by CRC Press. This book was released on 2023-08-04 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.

Digital Marketplaces Unleashed

Author : Claudia Linnhoff-Popien
Publisher : Springer
ISBN 13 : 366249275X
Total Pages : 935 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Digital Marketplaces Unleashed by : Claudia Linnhoff-Popien

Download or read book Digital Marketplaces Unleashed written by Claudia Linnhoff-Popien and published by Springer. This book was released on 2017-09-14 with total page 935 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of different views on how digitalization is influencing various industrial sectors addresses essential topics like big data and analytics, fintech and insuretech, cloud and mobility technologies, disruption and entrepreneurship. The technological advances of the 21st century have been massively impacted by the digital upheaval: there is no future without digitalization. The sale of products and services has left the classical point of sale and now takes place on a variety of channels. Whether in the automotive industry, travel and traffic, in cities, or the financial industry – newly designed ecosystems are being created everywhere; data is being generated and analyzed in real time; and companies are competing for mobile access channels to customers in order to gain knowledge about their individual contexts and preferences. In turn, customers can now publicly share their opinions, experiences and knowledge as User Generated Content, allowing them to impact the market and empowering them to build or destroy trust.

Data Analytics in Marketing, Entrepreneurship, and Innovation

Author : Mounir Kehal
Publisher : CRC Press
ISBN 13 : 0429591683
Total Pages : 193 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Data Analytics in Marketing, Entrepreneurship, and Innovation by : Mounir Kehal

Download or read book Data Analytics in Marketing, Entrepreneurship, and Innovation written by Mounir Kehal and published by CRC Press. This book was released on 2021-01-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.

Advances in Artificial Intelligence-based Technologies

Author : Maria Virvou
Publisher : Springer Nature
ISBN 13 : 3030805719
Total Pages : 241 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Artificial Intelligence-based Technologies by : Maria Virvou

Download or read book Advances in Artificial Intelligence-based Technologies written by Maria Virvou and published by Springer Nature. This book was released on 2021-10-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

PRICAI 2022: Trends in Artificial Intelligence

Author : Sankalp Khanna
Publisher : Springer Nature
ISBN 13 : 3031208684
Total Pages : 667 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis PRICAI 2022: Trends in Artificial Intelligence by : Sankalp Khanna

Download or read book PRICAI 2022: Trends in Artificial Intelligence written by Sankalp Khanna and published by Springer Nature. This book was released on 2022-11-03 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 2022. The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.

Cooperative Control of Networked Vehicles

Author : Alexander Schwab
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832555498
Total Pages : 192 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Cooperative Control of Networked Vehicles by : Alexander Schwab

Download or read book Cooperative Control of Networked Vehicles written by Alexander Schwab and published by Logos Verlag Berlin GmbH. This book was released on 2022-08-29 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis concerns the cooperative control of networked vehicles. Autonomous driving is a topic that is currently being discussed with great interest from researchers, vehicle manufacturers and the corresponding media. Future autonomous vehicles should bring the passengers to their desired destination while improving both safety and efficiency compared to current human-driven vehicles. The inherent problem of all vehicle coordination tasks is to guarantee collision avoidance in every situation. To this end, autonomous vehicles have to share information with each other in order to perform traffic manoeuvres that require the cooperation of multiple vehicles. The fundamental problem of vehicle platooning is studied extensively which describes the task of arranging a set of vehicles so that they drive with a common velocity and a prescribed distance. Local design objectives are derived that have to be satisfied by the vehicle controllers. In particular, it is shown that the vehicles have to be externally positive to achieve collision avoidance. As an abstraction from real traffic scenarios, swarms of networked vehicles are considered. The main difference between swarming and traffic problems is that a communication structure that has been appropriate in the beginning might become unsuited for the control task due to the relative movement of the vehicles. To solve this problem, this thesis proposes to use the Delaunay triangulation as a switching communication structure.

Insights, Innovation, and Analytics for Optimal Customer Engagement

Author : Nagaraj, Samala
Publisher : IGI Global
ISBN 13 : 1799839206
Total Pages : 334 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Insights, Innovation, and Analytics for Optimal Customer Engagement by : Nagaraj, Samala

Download or read book Insights, Innovation, and Analytics for Optimal Customer Engagement written by Nagaraj, Samala and published by IGI Global. This book was released on 2021-02-12 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engaging customers has become an effective strategy of marketers for improving customer-brand relationships as customer engagement is a perfect predictor of organic growth. Aggressive sales promotions, advertising campaigns, rewards, discounts, and more may attract a customer, but customer engagement creates an emotional connection with the brands/firms/services, which drives customer loyalty and long-term profitability. This has become much more applicable and effective with the use of social media platforms and the increased access of internet. Moreover, the implementation of customer analytics to measure engagement activities has provided marketers with more insights for improving services. Insights, Innovation, and Analytics for Optimal Customer Engagement is an advanced reference book that covers the latest emerging research in customer engagement and includes underlying theories, innovative methods, a review of existing literature, engagement analytics, and insights for marketers with reference to customer engagement. The book covers various product categories, industries, and sectors that are working to engage customers in inventive and creative ways. This book is a comprehensive reference tool for marketers, brand managers, social media specialists, advertisers, managers, executives, academicians, researchers, practitioners, and students interested in gaining comprehensive knowledge about customer engagement and the latest advancements in the field.

52 Things We Wish Someone Had Told Us about Customer Analytics

Author : Mike Sherman
Publisher :
ISBN 13 : 9781726601061
Total Pages : 214 pages
Book Rating : 4.6/5 (1 download)

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Book Synopsis 52 Things We Wish Someone Had Told Us about Customer Analytics by : Mike Sherman

Download or read book 52 Things We Wish Someone Had Told Us about Customer Analytics written by Mike Sherman and published by . This book was released on 2018-09-13 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 52 Things We Wish Someone Had Told Us About Customer Analytics is for anyone who uses customer information to make business decisions: CMOs, CEOs, product owners and the people who provide that information, e.g. data scientists, market researchers, business analysts. By tying impact to tools and techniques, through real-life stories, we hope to help decision makers better understand how to use customer data while helping data analysis providers understand how to create output that end users will value.This book provides 52 real-life anecdotes that illustrate important learnings about customer analytics. It draws from the worlds of big data and customer insights. It is our contribution to help managers do a better job using customer analytics (what to do and what not to do) so that the analytics actually makes a difference.Books on customer analytics (data science, business analysis, market research, whatever you like to call it) primarily exist in two categories: as academic texts, which discuss theoretical approaches to data analysis problems; or as technical texts, which teach the statistics or computer programming required to conduct an analysis. As the focus of these books is on analysis tools and techniques, fictitious examples are often used to explain main topics. Our book fills in the missing gap between these approaches by providing real-life, practical stories, tying analysis directly to business value.---"Essential reading for those who want to cut through all the hype of big data. This book has practical advice on how to have real financial and business impact, from the experienced authors who have done this in real life."John ForsythFormer Principal (Partner), McKinsey, former Head, McKinsey's Global Customer Insights Practice---"Mike and Alex have delivered an entertaining and highly readable romp through many aspects of customer analysis-from qualitative focus groups through to terrabytes of big data; and utilizing many real-world examples to reinforce their points. They employ a relentless focus on the use of analysis to deliver meaningful and impactful business value ... and that should matter to you, too, whether you're the CEO, the product owner or a junior analyst delivering the work."George HaylettFormer Asia Analytics Head for Amex, Citibank and HSBC---"Significance. Reliability. Confidence. These and other such terms can be a mantra for both suppliers and buyers of data and analytics. Whether it be big data, qualitative research or something in between; sampling, statistics and "findings" are often the drivers of customer or business analytic exercises. But what about relevance? If the results cannot direct business decisions, what does it matter how "accurate" they are? Used correctly, such analytics are an enormously powerful driver of business performance and profitability. But only if the findings have business salience or business significance. Otherwise, aren't they just another type of BS? In this book, Mike and Alex Sherman lay out some wonderful examples of how the time and money spent on business analytics can transform decision-making or be a complete waste of time. It contains great lessons for buyers and users of such services. But I would also commend it to consultants and suppliers. We shouldn't need to sell what a computer can do with data. We should be promoting what humans and businesses can do by asking the right questions of the results."Adrian ChedoreFormer CEO of Synovate---"This book thoughtfully and practically reminds us that, as we continue to further automate consumer insight analytics efforts with the newest analytics and AI technology, human thinking and human understanding of the fundamental purpose of the analysis, and of the questions that are essential to understanding that purpose, becomes even more important."Professor Steven MillerVice Provost (Research), Singapore Management University

Data Science for Business

Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 414 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates