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Author: Colin Strong Publisher: Kogan Page Publishers ISBN: 074947212X Category : Business & Economics Languages : en Pages : 226
Book Description
Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.
Author: Colin Strong Publisher: Kogan Page Publishers ISBN: 074947212X Category : Business & Economics Languages : en Pages : 226
Book Description
Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.
Author: Geetam S. Tomar Publisher: CRC Press ISBN: 149875418X Category : Business & Economics Languages : en Pages : 364
Book Description
The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.
Author: Scott Hartley Publisher: Houghton Mifflin Harcourt ISBN: 0544944372 Category : Technology & Engineering Languages : en Pages : 307
Book Description
“Artfully explains why it is time for us to get over the false division between the human and the technical.”—Tim Brown, CEO of IDEO and author of Change by Design Scott Hartley first heard the terms fuzzy and techie while studying political science at Stanford University. If you majored in humanities or social sciences, you were a fuzzy. If you majored in computer or hard sciences, you were a techie. While Silicon Valley is generally considered a techie stronghold, the founders of companies like Airbnb, Pinterest, Slack, LinkedIn, PayPal, Stitch Fix, Reddit, and others are all fuzzies—in other words, people with backgrounds in the liberal arts. In this brilliantly counterintuitive book, Hartley shatters assumptions about business and education today: learning to code is not enough. The soft skills—curiosity, communication, and collaboration, along with an understanding of psychology and society’s gravest problems—are central to why technology has value. Fuzzies are the instrumental stewards of robots, artificial intelligence, and machine learning. They offer a human touch that is of equal—if not greater—importance in our technology-led world than what most techies can provide. For anyone doubting whether a well-rounded liberal arts education is practical in today’s world, Hartley’s work will come as an inspiring revelation. Finalist for the 2016 Financial Times/McKinsey Bracken Bower Prize and A Financial Times Business Book of the Month
Author: Paul Cash Publisher: Practical Inspiration Publishing ISBN: 1788602501 Category : Business & Economics Languages : en Pages : 172
Book Description
If you want to move products, you need to move people. And if you want to move people, you need to move minds. This is what modern B2B marketing is all about. It’s time to wake up to the power of branding, purpose, stories, emotion, people and culture to drive growth. There is something incredibly exciting happening in B2B land. Freed from a narrow focus on performance marketing, brands are becoming more interesting and more relevant. This book brings together the latest thinking on humanized B2B marketing, to help leaders and their businesses grow, dominate their categories, and become meaningful in today’s demanding world. PAUL CASH is a creative entrepreneur and storyteller on a personal mission to humanize B2B marketing. Recognized as one of the Top 20 most influential B2B marketers, he is the founder of Rooster Punk, the go-to agency for B2B storytelling. JAMES TREZONA is a strategist, marketeer and MD of Rooster Punk. He uses the power of storytelling to empower businesses to reap the rewards of putting purpose at the heart of their business.
Author: Tobias M. Scholz Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften ISBN: 9783631718902 Category : Business & Economics Languages : en Pages : 237
Book Description
Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data.
Author: Curtis White Publisher: Melville House ISBN: 1612194559 Category : Philosophy Languages : en Pages : 306
Book Description
In the noble tradition of Jaron Lanier's You Are Not a Gadget (Penguin, 2011), Curtis White's We, Robots takes the radical position that maybe we shouldn't cede every bit of control, humanity, and decision making to technology, and that the techno-futurists in our mix have things dangerously backwards. What a notion! In this sharply argued and rousing book, White not only attacks the technology-loving establishment, but offers a beautiful and essential alternative.
Author: Kuldeep Singh Kaswan Publisher: Bentham Science Publishers ISBN: 9815079948 Category : Computers Languages : en Pages : 392
Book Description
Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions. Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization. The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects. This book is a resource for researchers, students, and professionals interested in the fields of HCI, artificial intelligence, data analytics, and computer engineering.
Author: Cecilia Aragon Publisher: MIT Press ISBN: 0262367599 Category : Computers Languages : en Pages : 201
Book Description
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author: Daoud Meerzaman Publisher: Frontiers Media SA ISBN: 2889660052 Category : Medical Languages : en Pages : 122
Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author: Klaas De Rycke Publisher: Springer ISBN: 9811066116 Category : Technology & Engineering Languages : en Pages : 684
Book Description
This book aims at finding some answers to the questions: What is the influence of humans in controlling CAD and how much is human in control of its surroundings? How far does our reach as humans really go? Do the complex algorithms that we use for city planning nowadays live up to their expectations and do they offer enough quality? How much data do we have and can we control? Are today’s inventions reversing the humanly controlled algorithms into a space where humans are controlled by the algorithms? Are processing power, robots for the digital environment and construction in particular not only there to rediscover what we already knew and know or do they really bring us further into the fields of constructing and architecture? The chapter authors were invited speakers at the 6th Symposium "Design Modelling Symposium: Humanizing Digital Reality", which took place in Ensa-Versailles, France from 16 - 20 September 2017.
Author: Colin Strong
Author: Colin Strong
Author: Geetam S. Tomar
Author: Scott Hartley
Author: Paul Cash
Author: Tobias M. Scholz
Author: Curtis White
Author: Kuldeep Singh Kaswan
Author: Cecilia Aragon
Author: Daoud Meerzaman
Author: Klaas De Rycke