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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: 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: 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: 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: Shane Safir Publisher: Corwin ISBN: 1071812661 Category : Education Languages : en Pages : 281
Book Description
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
Author: Carlos Gil Publisher: Kogan Page Publishers ISBN: 0749497599 Category : Business & Economics Languages : en Pages : 241
Book Description
WINNER: American Book Fest Best Book Awards 2020 - Marketing and Advertising category WINNER: NYC Big Book Award 2020 - Business: Small Business and Entrepreneurship category WINNER: BookAuthority Best New Book to Read in 2020 - Social Media Marketing category FINALIST: Business Book Awards 2020 - International Business Book category Social networks are the new norm and traditional marketing is failing in today's digital, always-on culture. Businesses across the world are having to face up to how they remain relevant in the choppy waters of the digital ocean. In an era where a YouTube star gets more daily impressions than Nike, Coca-Cola and Walmart combined, traditional marketing as we know it is dead. The End of Marketing revolutionizes the way brands, agencies and marketers should approach marketing. From how Donald Trump won the American presidency using social media and why Kim Kardashian is one of the world's biggest online brands, through to the impact of bots and automation, this book will teach you about new features and emerging platforms that will engage customers and employees. Discover bold content ideas, hear from some of the world's largest brands and content creators and find out how to build smarter paid-strategies, guaranteed to help you dominate your markets. The End of Marketing explains that no matter how easy it is to reach potential customers, the key relationship between brand and consumer still needs the human touch. Learn how to put 'social' back into social media and claim brand relevancy in a world where algorithms dominate, organic reach is dwindling and consumers don't want to be sold to, they want to be engaged.
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: José María Cavanillas Publisher: Springer ISBN: 3319215698 Category : Computers Languages : en Pages : 303
Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
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: Catherine D'Ignazio Publisher: MIT Press ISBN: 026254718X Category : Social Science Languages : en Pages : 328
Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author: Colin Strong
Author: Colin Strong
Author: Scott Hartley
Author: Geetam S. Tomar
Author: Paul Cash
Author: Shane Safir
Author: Carlos Gil
Author: Tobias M. Scholz
Author: José María Cavanillas
Author: Klaas De Rycke
Author: Catherine D'Ignazio