[PDF] Humanizing Big Data eBook

Author : Colin Strong
Publisher : Kogan Page Publishers
Page : 226 pages
File Size : 40,4 MB
Release : 2015-03-03
Category : Business & Economics
ISBN : 074947212X

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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
Page : 364 pages
File Size : 26,80 MB
Release : 2016-10-26
Category : Business & Economics
ISBN : 149875418X

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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
Page : 172 pages
File Size : 15,17 MB
Release : 2021-04-26
Category : Business & Economics
ISBN : 1788602501

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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 : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 49,57 MB
Release : 2013
Category : Business & Economics
ISBN : 0544002695

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A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Author : Kuldeep Singh Kaswan
Publisher : Bentham Science Publishers
Page : 392 pages
File Size : 10,23 MB
Release : 2023-08-28
Category : Computers
ISBN : 9815079948

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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 : Shane Safir
Publisher : Corwin
Page : 281 pages
File Size : 41,13 MB
Release : 2021-02-12
Category : Education
ISBN : 1071812661

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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 : Cecilia Aragon
Publisher : MIT Press
Page : 201 pages
File Size : 14,11 MB
Release : 2022-03-01
Category : Computers
ISBN : 0262367599

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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 : Tobias M. Scholz
Publisher : Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
Page : 237 pages
File Size : 15,81 MB
Release : 2017
Category : Business & Economics
ISBN : 9783631718902

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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 : Rick Smolan
Publisher :
Page : 0 pages
File Size : 42,30 MB
Release : 2012
Category : Big data
ISBN : 9781454908272

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The authors invited more than 100 journalists worldwide to use photographs, charts and essays to explore the world of big data and its growing influence on our lives and society.