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| business unintelligence insight and innovation beyond analytics and big data: Business UnIntelligence Barry Devlin, 2013 Business unIntelligence reflects the new reality that in today's socially complex and rapidly changing world, business decisions must be based on a combination of rational and intuitive thinking. |
| business unintelligence insight and innovation beyond analytics and big data: Too Big to Ignore Phil Simon, 2013-03-05 Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals. |
| business unintelligence insight and innovation beyond analytics and big data: Americans in Waiting Hiroshi Motomura, 2007-09-17 Although America is unquestionably a nation of immigrants, its immigration policies have inspired more questions than consensus on who should be admitted and what the path to citizenship should be. In Americans in Waiting, Hiroshi Motomura looks to a forgotten part of our past to show how, for over 150 years, immigration was assumed to be a transition to citizenship, with immigrants essentially being treated as future citizens--Americans in waiting. Challenging current conceptions, the author deftly uncovers how this view, once so central to law and policy, has all but vanished. Motomura explains how America could create a more unified society by recovering this lost history and by giving immigrants more, but at the same time asking more of them. A timely, panoramic chronicle of immigration and citizenship in the United States, Americans in Waiting offers new ideas and a fresh perspective on current debates. |
| business unintelligence insight and innovation beyond analytics and big data: Data Modeling for MongoDB Steve Hoberman, 2014-06-01 Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application’s release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future. Now, what if you had a time machine and could go back and read this book. You would learn that even NoSQL databases like MongoDB require some level of data modeling. Data modeling is the process of learning about the data, and regardless of technology, this process must be performed for a successful application. You would learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions. Read this book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives: Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational. That is, NoSQL does not mean NoDataModeling! Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits. Explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts, and learn the basics of adding, querying, updating, and deleting data in MongoDB. Practice a streamlined, template-driven approach to performing conceptual, logical, and physical data modeling. Recognize that data modeling does not always have to lead to traditional data models! Distinguish top-down from bottom-up development approaches and complete a top-down case study which ties all of the modeling techniques together. This book is written for anyone who is working with, or will be working with MongoDB, including business analysts, data modelers, database administrators, developers, project managers, and data scientists. There are three sections: In Section I, Getting Started, we will reveal the power of data modeling and the tight connections to data models that exist when designing any type of database (Chapter 1), compare NoSQL with traditional relational databases and where MongoDB fits (Chapter 2), explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts (Chapter 3), and explain the basics of adding, querying, updating, and deleting data in MongoDB (Chapter 4). In Section II, Levels of Granularity, we cover Conceptual Data Modeling (Chapter 5), Logical Data Modeling (Chapter 6), and Physical Data Modeling (Chapter 7). Notice the “ing” at the end of each of these chapters. We focus on the process of building each of these models, which is where we gain essential business knowledge. In Section III, Case Study, we will explain both top down and bottom up development approaches and go through a top down case study where we start with business requirements and end with the MongoDB database. This case study will tie together all of the techniques in the previous seven chapters. Nike Senior Data Architect Ryan Smith wrote the foreword. Key points are included at the end of each chapter as a way to reinforce concepts. In addition, this book is loaded with hands-on exercises, along with their answers provided in Appendix A. Appendix B contains all of the book’s references and Appendix C contains a glossary of the terms used throughout the text. |
| business unintelligence insight and innovation beyond analytics and big data: Citizenship and Immigration Christian Joppke, 2013-05-06 This incisive book provides a succinct overview of the new academic field of citizenship and immigration, as well as presenting a fresh and original argument about changing citizenship in our contemporary human rights era. Instead of being nationally resilient or in “postnational” decline, citizenship in Western states has continued to evolve, converging on a liberal model of inclusive citizenship with diminished rights implications and increasingly universalistic identities. This convergence is demonstrated through a sustained comparison of developments in North America, Western Europe and Australia. Topics covered in the book include: recent trends in nationality laws; what ethnic diversity does to the welfare state; the decline of multiculturalism accompanied by the continuing rise of antidiscrimination policies; and the new state campaigns to “upgrade” citizenship in the post-2001 period. Sophisticated and informative, and written in a lively and accessible style, this book will appeal to upper-level students and scholars in sociology, political science, and immigration and citizenship studies. |
| business unintelligence insight and innovation beyond analytics and big data: Public Policy in the United States Mark E Rushefsky, 2014-12-18 The fifth edition of this well-regarded text covers the period up through the 2012 elections. It has been revised to make it sleeker, more concise, and up-to-date with a clear organisational structure. This edition accomplishes these three important goals: First, it introduces readers to the American approach to public policy making as it has been shaped by our political institutions, changing circumstances, and ideology. Second, it surveys American public policy and policymaking in all the major policy areas from economic policy to health care policy to environmental policy, and does so clearly and even-handedly, with well-selected illustrations, case studies, terms, and study questions. Finally, in addition to providing analytical tools and empirical information, the book challenges readers to come to terms with the widely shared but often competing values that must be balanced and rebalanced in the ongoing policy making process, affecting issues of the highest concern to the American public. |
| business unintelligence insight and innovation beyond analytics and big data: Oxford Handbook of Ethics of AI Markus D. Dubber, Frank Pasquale, Sunit Das, 2020-06-30 This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term A.I. is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether human or A.I. |
| business unintelligence insight and innovation beyond analytics and big data: Digital Roots Gabriele Balbi, Nelson Ribeiro, Valérie Schafer, Christian Schwarzenegger, 2021-09-07 As media environments and communication practices evolve over time, so do theoretical concepts. This book analyzes some of the most well-known and fiercely discussed concepts of the digital age from a historical perspective, showing how many of them have pre-digital roots and how they have changed and still are constantly changing in the digital era. Written by leading authors in media and communication studies, the chapters historicize 16 concepts that have become central in the digital media literature, focusing on three main areas. The first part, Technologies and Connections, historicises concepts like network, media convergence, multimedia, interactivity and artificial intelligence. The second one is related to Agency and Politics and explores global governance, datafication, fake news, echo chambers, digital media activism. The last one, Users and Practices, is finally devoted to telepresence, digital loneliness, amateurism, user generated content, fandom and authenticity. The book aims to shed light on how concepts emerge and are co-shaped, circulated, used and reappropriated in different contexts. It argues for the need for a conceptual media and communication history that will reveal new developments without concealing continuities and it demonstrates how the analogue/digital dichotomy is often a misleading one. |
| business unintelligence insight and innovation beyond analytics and big data: Developing Analytic Talent Vincent Granville, 2014-03-24 Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates. |
| business unintelligence insight and innovation beyond analytics and big data: Patterns, Predictions, and Actions: Foundations of Machine Learning Moritz Hardt, Benjamin Recht, 2022-08-23 An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers |
| business unintelligence insight and innovation beyond analytics and big data: Data Warehouse Barry Devlin, 1997 Data warehousing is one of the hottest topics in the computing industry. Written by Barry Devlin, one of the world's leading experts on data warehousing, this book gives you the insights and experiences gained over 10 years and offers the most comprehensive, practical guide to designing, building, and implementing a successful data warehouse. Included in this vital information is an explanation of the optimal three-tiered architecture for the data warehouse, with a clear division between data and information. Information systems managers will appreciate the full description of the functions needed to implement such an architecture, including reconciling existing, diverse data and deriving consistent, valuable business information. |
| business unintelligence insight and innovation beyond analytics and big data: Trading Psychology 2.0 Brett N. Steenbarger, 2015-08-31 Practical trading psychology insight that can be put to work today Trading Psychology 2.0 is a comprehensive guide to applying the science of psychology to the art of trading. Veteran trading psychologist and bestselling author Brett Steenbarger offers critical advice and proven techniques to help interested traders better understand the markets, with practical takeaways that can be implemented immediately. Academic research is presented in an accessible, understandable, engaging way that makes it relevant for practical traders, and examples, illustrations, and case studies bring the ideas and techniques to life. Interactive features keep readers engaged and involved, including a blog offering ever-expanding content, and a Twitter feed for quick tips. Contributions from market bloggers, authors, and experts bring fresh perspectives to the topic, and Steenbarger draws upon his own experience in psychology and statistical modeling as an active trader to offer insight into the practical aspect of trading psychology. Trading psychology is one of the few topics that are equally relevant to day traders and active investors, market makers and portfolio managers, and traders in different markets around the globe. Many firms hire trading coaches, but this book provides a coach in print, accessible 24/7 no matter what the market is doing. Understand the research at the core of trading psychology Examine the ways in which psychology is applied in real-world trading Implement practical tips immediately to see first-hand results Gain the perspective and insight of veteran traders who apply these techniques daily While markets may differ in scale, scope, and activity, humans remain human, with all the inherent behavioral tendencies. Studying the market from the human perspective gives traders insight into how human behavior drives market behavior. Trading Psychology 2.0 gives traders an edge, with expert guidance and practical advice. |
| business unintelligence insight and innovation beyond analytics and big data: Digital Transformation in Accounting Richard Busulwa, Nina Evans, 2021-05-30 Digital Transformation in Accounting is a critical guidebook for accountancy and digital business students and practitioners to navigate the effects of digital technology advancements, digital disruption, and digital transformation on the accounting profession. Drawing on the latest research, this book: Unpacks dozens of digital technology advancements, explaining what they are and how they could be used to improve accounting practice. Discusses the impact of digital disruption and digital transformation on different accounting functions, roles, and activities. Integrates traditional accounting information systems concepts and contemporary digital business and digital transformation concepts. Includes a rich array of real-world case studies, simulated problems, quizzes, group and individual exercises, as well as supplementary electronic resources. Provides a framework and a set of tools to prepare the future accounting workforce for the era of digital disruption. This book is an invaluable resource for students on accounting, accounting information systems, and digital business courses, as well as for accountants, accounting educators, and accreditation / advocacy bodies. |
| business unintelligence insight and innovation beyond analytics and big data: Hound Paul Bolger, Barry Devlin, 2022-04-05 In 50 BCE, Morrigan, the goddess of war, has become restless as a long-lasting peace settles over Ireland. Deciding the time of peace must end, she chooses Setanta, the nephew of the king of the north, to become her ward. After a young Setanta slays the demon-hound of Cullan, he becomes known as Cú Cullan—The Hound of Cullan. As Cú Cullan grows older, it is apparent that an extraordinary power lies within him . . . and a great darkness. When he chooses the quiet life of a farmer over the sword, Morrigan, angry at the betrayal, instigates an invasion of his homeland and Cú Cullan must challenge fate itself to keep the goddess at bay. This exciting, ancient tale is retold for a contemporary audience by master storytellers Paul J. Bolger (Cool World, The Land Before Time, The Pirates! In an Adventure with Scientists!), Barry Devlin (Horslips: The Táin, U2: Making of Rattle & Hum, A Man of No Importance), and Dee Cunniffe (The Paybacks, Redneck). |
| business unintelligence insight and innovation beyond analytics and big data: Building the Agile Business through Digital Transformation Neil Perkin, Peter Abraham, 2017-04-03 Building the Agile Business through Digital Transformation is an in-depth look at transforming businesses so they are fit for purpose in a digitally enabled world. It is a guide for all those needing to better understand, implement and lead digital transformation in the workplace. It sets aside traditional thinking and outdated strategies to explain what steps need to be taken for an organization to become truly agile. It addresses how to build organizational velocity and establish iterative working, remove unnecessary process, embed innovation, map strategy to motivation and develop talent to succeed. Building the Agile Business through Digital Transformation provides guidance on how to set the pace and frequency for change and shows how to break old habits and reform the behaviours of a workforce to embed digital transformation, achieve organizational agility and ensure high performance. Full of practical advice, examples and real-life insights from organizational development professionals at the leading edge of digital transformation, this book is an essential guide to building an agile business. |
| business unintelligence insight and innovation beyond analytics and big data: One Mighty and Irresistible Tide: The Epic Struggle Over American Immigration, 1924-1965 Jia Lynn Yang, 2020-05-19 Winner of the Zócalo Book Prize Shortlisted for the Arthur Ross Book Award Longlisted for the Andrew Carnegie Medal for Excellence A New York Times Book Review Editors’ Choice A powerful and cogent (Bethanne Patrick, Washington Post) account of the twentieth-century battle for immigration reform that set the stage for today’s roiling debates. The idea of the United States as a nation of immigrants is at the core of the American narrative. But in 1924, Congress instituted a system of ethnic quotas so stringent that it choked off large-scale immigration for decades, sharply curtailing arrivals from southern and eastern Europe and outright banning those from nearly all of Asia. In a riveting narrative filled with a fascinating cast of characters, from the indefatigable congressman Emanuel Celler and senator Herbert Lehman to the bull-headed Nevada senator Pat McCarran, Jia Lynn Yang recounts how lawmakers, activists, and presidents from Truman through LBJ worked relentlessly to abolish the 1924 law. Through a world war, a refugee crisis after the Holocaust, and a McCarthyist fever, a coalition of lawmakers and activists descended from Jewish, Irish, and Japanese immigrants fought to establish a new principle of equality in the American immigration system. Their crowning achievement, the 1965 Immigration and Nationality Act, proved to be one of the most transformative laws in the country’s history, opening the door to nonwhite migration at levels never seen before—and changing America in ways that those who debated it could hardly have imagined. Framed movingly by her own family’s story of immigration to America, Yang’s One Mighty and Irresistible Tide is a deeply researched and illuminating work of history, one that shows how Americans have strived and struggled to live up to the ideal of a home for the “huddled masses,” as promised in Emma Lazarus’s famous poem. |
| business unintelligence insight and innovation beyond analytics and big data: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Denis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Ilias Pappas, Matti Mäntymäki, 2021-08-25 This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic. |
| business unintelligence insight and innovation beyond analytics and big data: Big Data Viktor Mayer-Schönberger, Kenneth Cukier, 2013 A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large. |
| business unintelligence insight and innovation beyond analytics and big data: Automation and Collaborative Robotics Peter Matthews, Steven Greenspan, 2020-06-30 Understand the current and future research into technologies that underpin the increasing capabilities of automation technologies and their impact on the working world of the future. Rapid advances in automation and robotics technologies are often reported in the trade and general media, often relying on scary headlines such as “Jobs Lost to Robots.” It is certainly true that work will change with the advent of smarter and faster automated workers; however, the scope and scale of the changes is still unknown. Automation may seem to be here already, but we are only at the early stages. Automation and Collaborative Robotics explores the output of current research projects that are improving the building blocks of an automated world. Research into collaborative robotics (cobotics) is merging digital, audio, and visual data to generate a commonly held view between cobots and their human collaborators. Low-power machine learning at the edge of the network can deliver decision making on cobots or to their manipulations. Topics covered in this book include: Robotic process automation, chatbots, and their impact in the near future The hype of automation and headlines leading to concerns over the future of work Component technologies that are still in the research labs Foundational technologies and collaboration that will enable many tasks to be automated with human workers being re-skilled and displaced rather than replaced What You Will Learn Be aware of the technologies currently being researched to improve or deliver automation Understand the impact of robotics, other automation technologies, and the impact of AI on automation Get an idea of how far we are from implementation of an automated future Know what work will look like in the future with the deployment of these technologies Who This Book Is For Technical and business managers interested in the future of automation and robotics, and the impact it will have on their organizations, customers, and the business world in general |
| business unintelligence insight and innovation beyond analytics and big data: New Laws of Robotics Frank Pasquale, 2020-10-27 “Essential reading for all who have a vested interest in the rise of AI.” —Daryl Li, AI & Society “Thought-provoking...Explores how we can best try to ensure that robots work for us, rather than against us, and proposes a new set of laws to provide a conceptual framework for our thinking on the subject.” —Financial Times “Pasquale calls for a society-wide reengineering of policy, politics, economics, and labor relations to set technology on a more regulated and egalitarian path...Makes a good case for injecting more bureaucracy into our techno-dreams, if we really want to make the world a better place.” —Wired “Pasquale is one of the leading voices on the uneven and often unfair consequences of AI in our society...Every policymaker should read this book and seek his counsel.” —Safiya Noble, author of Algorithms of Oppression Too many CEOs tell a simple story about the future of work: if a machine can do what you do, your job will be automated, and you will be replaced. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI. Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements. This cooperation reveals the kind of technological advance that could bring us all better health care, education, and more, while maintaining meaningful work. These partnerships also show how law and regulation can promote prosperity for all, rather than a zero-sum race of humans against machines. Policymakers must not allow corporations or engineers alone to answer questions about how far AI should be entrusted to assume tasks once performed by humans, or about the optimal mix of robotic and human interaction. The kind of automation we get—and who benefits from it—will depend on myriad small decisions about how to develop AI. Pasquale proposes ways to democratize that decision-making, rather than centralize it in unaccountable firms. Sober yet optimistic, New Laws of Robotics offers an inspiring vision of technological progress, in which human capacities and expertise are the irreplaceable center of an inclusive economy. |
| business unintelligence insight and innovation beyond analytics and big data: Emotional Intelligence For Dummies Steven J. Stein, 2009-07-13 Straightforward guide to taking control of your emotions. Being aware of and in control of your emotions is one of the keys to success in life -- both professionally and personally. Emotional Intelligence For Dummies will show you how to take control of your emotions rather than letting your emotions control you! Discover how developing your emotional intelligence can further your relationships with others, in the workplace and at home. Emotional awareness is also a critical skill for career success, and Dr. Stein provides practical exercises for developing this skill and achieving your professional and personal goals. He also provides valuable insights into how emotional intelligence can be applied to raising children and teenagers and realizing personal happiness. Full of lively anecdotes and practical advice, Emotional Intelligence For Dummies is the ideal book for anyone who wants to get smart about their feelings and reach the next level at work and at home. Manage your emotions - identify your feelings, determine what beliefs cause negative emotions, and stop self-destructive behaviors Discover the power of empathy - read other people's emotions through facial cues and body language and show them you understand their feelings Thrive at work - find a job that's right for you, overcome hassles and fears, and develop your leadership skills Build and sustain meaningful relationships - discover how to take your partner's emotional temperature and manage emotions to grow closer Raise an emotionally intelligent child - keep your cool with your child, coax shy children out of their shells, and get your child to be less aggressive and defiant |
| business unintelligence insight and innovation beyond analytics and big data: The Psychology of Silicon Valley Katy Cook, 2019-10-15 Misinformation. Job displacement. Information overload. Economic inequality. Digital addiction. The breakdown of democracy, civility, and truth itself. This open access book explores the conscious and unconscious norms, values, and characteristics that drive behaviors within the high-tech capital of the world, Silicon Valley, and the sector it represents. In an era where the reach and influence of a single industry has the potential to define the future of our world, it has become apparent just how little we know about the organizations driving these changes. The Psychology of Silicon Valley offers a revealing look inside the mind of world’s most influential industry and how the identity, culture, myths, and motivations of Big Tech are harming society. The book argues that the bad values and lack of emotional intelligence borne in the vacuum of Silicon Valley will have lasting consequences on everything from social equality to the future of work to our collective mental health. Katy Cook expertly walks us through the psychological landscape of Silicon Valley, including its leadership, ethical, and cultural problems, and artfully explains why we cannot afford to ignore the psychology and values that are behind our technology any longer. |
| business unintelligence insight and innovation beyond analytics and big data: Your Computer Is on Fire Thomas S. Mullaney, Benjamin Peters, Mar Hicks, Kavita Philip, 2021-03-09 Technology scholars declare an emergency: attention must be paid to the inequality, marginalization, and biases woven into our technological systems. This book sounds an alarm: we can no longer afford to be lulled into complacency by narratives of techno-utopianism, or even techno-neutrality. We should not be reassured by such soothing generalities as human error, virtual reality, or the cloud. We need to realize that nothing is virtual: everything that happens online, virtually, or autonomously happens offline first, and often involves human beings whose labor is deliberately kept invisible. Everything is IRL. In Your Computer Is on Fire, technology scholars train a spotlight on the inequality, marginalization, and biases woven into our technological systems. |
| business unintelligence insight and innovation beyond analytics and big data: The Critique of Digital Capitalism Michael Betancourt, 2015 Anything that can be automated, will be. The magic that digital technology has brought us - self-driving cars, Bitcoin, high frequency trading, the internet of things, social networking, mass surveillance, the 2009 housing bubble - has not been considered from an ideological perspective. The Critique of Digital Capitalism identifies how digital technology has captured contemporary society in a reification of capitalist priorities, and also describes digital capitalism as an ideologically invisible framework that is realized in technology. Written as a series of articles between 2003 and 2015, the book provides a broad critical scope for understanding the inherent demands of capitalist protocols for expansion without constraint (regardless of social, legal or ethical limits) that are increasingly being realized as autonomous systems that are no longer dependent on human labor or oversight and implemented without social discussion of their impacts. The digital illusion of infinite resources, infinite production, and no costs appears as an end to scarcity, whereby digital production supposedly eliminates costs and makes everything equally available to everyone. This fantasy of production without consumption hides the physical costs and real-world impacts of these technologies. The critique introduced in this book develops from basic questions about how digital technologies directly change the structure of society: why is Digital Rights Management not only the dominant solution for distributing digital information, but also the only option being considered? During the burst of the Housing Bubble burst 2009, why were the immaterial commodities being traded of primary concern, but the actual physical assets and the impacts on the people living in them generally ignored? How do surveillance (pervasive monitoring) and agnotology (culturally induced ignorance or doubt, particularly the publication of inaccurate or misleading scientific data) coincide as mutually reinforcing technologies of control and restraint? If technology makes the assumptions of its society manifest as instrumentality - then what ideology is being realized in the form of the digital computer? This final question animates the critical framework this analysis proposes. Digital capitalism is a dramatically new configuration of the historical dynamics of production, labor and consumption that results in a new variant of historical capitalism. This contemporary, globalized network of production and distribution depends on digital capitalism's refusal of established social restraints: existing laws are an impediment to the transcendent aspects of digital technology. Its utopian claims mask its authoritarian result: the superficial objectivity of computer systems are supposed to replace established protections with machinic function - the uniform imposition of whatever ideology informs the design. However, machines are never impartial: they reify the ideologies they are built to enact. The critical analysis of capitalist ideologies as they become digital is essential to challenging this process. Contesting their domination depends on theoretical analysis. This critique challenges received ideas about the relationship between labor, commodity production and value, in the process demonstrating how the historical Marxist analysis depends on assumptions that are no longer valid. This book therefore provides a unique, critical toolset for the analysis of digital capitalist hegemonics. |
| business unintelligence insight and innovation beyond analytics and big data: A Practitioner's Guide to Business Analytics (PB) Randy Bartlett, 2013-01-25 Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice. |
| business unintelligence insight and innovation beyond analytics and big data: Business Intelligence erfolgreich umsetzen Frank Bensberg, Rüdiger Buchkremer, Robert Franke, Alexander Fraß, Holger Frietsch, Oliver Gehlert, Jörg Igelbrink, Johannes Nikolaus Kasper, Andrea Kennel, Ulrich Kramer, André Landefeld, Reinhard Mense, Oliver Mießner, Jürgen Noe, Daniel Piatkowski, Christian Ruschak, Nicole Schirm, Klaus-Peter Schoeneberg, Thomas Strehlow, Serdar Süzen, Christopher Zerres, Mario Zillmann, 2016-01-04 Der Markt für Business Intelligence boomt: Die Auswahl verfügbarer Business-Intelligence-Software wächst ebenso schnell wie die Menge möglicher Einsatzszenarien. Doch warum haben die meisten Unternehmen (noch) nicht den gewünschten Erfolg mit Business Intelligence? Die Antwort ist einfach: Die Nutzung von BI-Technologien allein führt nicht automatisch zu den gewünschten Ergebnissen. Vielmehr erfordert erfolgreiches Business Intelligence die Auswahl der für das Unternehmen geeigneten Technologien, die systematische Einbettung in die IT-Landschaft des Unternehmens und eine zukunftsfähige Gestaltung der BI-Architekturen. Das heißt: Erst der richtige Einsatz von Business-Intelligence- Technologien führt zum Geschäftserfolg. In diesem Buch erfahren Sie daher, welche vielversprechenden Trends es aktuell am BI-Markt gibt, welche BI-Technologien und -Architekturen besonders geeignet sind und wie Sie innovative BI-Einsatzszenarien (Self-Service BI, Cloud BI, Mobile BI, Big Data & Co.) erfolgreich in Ihrem Unternehmen umsetzen. Ein lesenswertes Buch für BI-Experten, BI-Entscheider, BI-Anwender, BI-Berater, Chief Data Officers und CIOs. |
| business unintelligence insight and innovation beyond analytics and big data: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| business unintelligence insight and innovation beyond analytics and big data: Exposing Fake Logic Avi Sion, 2018 Exposing Fake Logic by Avi Sion is a collection of essays written after publication of his book A Fortiori Logic, in which he critically responds to derivative work by other authors who claim to know better. This is more than just polemics; but allows further clarifications of a fortiori logic and of general logic. |
| business unintelligence insight and innovation beyond analytics and big data: The Data Journalism Handbook Jonathan Gray, Lucy Chambers, Liliana Bounegru, 2012-07-12 When you combine the sheer scale and range of digital information now available with a journalist’s nose for news and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field. This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both. Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations Explore in-depth case studies on elections, riots, school performance, and corruption Learn how to find data from the Web, through freedom of information laws, and by crowd sourcing Extract information from raw data with tips for working with numbers and statistics and using data visualization Deliver data through infographics, news apps, open data platforms, and download links |
| business unintelligence insight and innovation beyond analytics and big data: Data Smart John W. Foreman, 2013-10-31 Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the data scientist, toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know. |
| business unintelligence insight and innovation beyond analytics and big data: Celebrity Humanitarianism Ilan Kapoor, 2013 This book examines the new phenomenon of celebrity humanitarianism arguing that legitimates neoliberal capitalism and global inequality. |
| business unintelligence insight and innovation beyond analytics and big data: The Cultural Life of Machine Learning Jonathan Roberge, Michael Castelle, 2020-11-30 This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| business unintelligence insight and innovation beyond analytics and big data: Automation and Autonomy James Steinhoff, 2021-06-21 This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation. |
| business unintelligence insight and innovation beyond analytics and big data: Analytics in a Big Data World Bart Baesens, 2014-04-15 The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities. |
| business unintelligence insight and innovation beyond analytics and big data: Thinkers on Education Zaghloul Morsy, 1997 |
| business unintelligence insight and innovation beyond analytics and big data: Google BigQuery: The Definitive Guide Valliappa Lakshmanan, Jordan Tigani, 2019-10-23 Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable. |
| business unintelligence insight and innovation beyond analytics and big data: Business Analytics for Managers Gert Laursen, Jesper Thorlund, 2010-07-13 While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business. |
| business unintelligence insight and innovation beyond analytics and big data: Cold War Games Toby C Rider, 2016-05-30 It is the early Cold War. The Soviet Union appears to be in irresistible ascendance and moves to exploit the Olympic Games as a vehicle for promoting international communism. In response, the United States conceives a subtle, far-reaching psychological warfare campaign to blunt the Soviet advance. Drawing on newly declassified materials and archives, Toby C. Rider chronicles how the U.S. government used the Olympics to promote democracy and its own policy aims during the tense early phase of the Cold War. Rider shows how the government, though constrained by traditions against interference in the Games, eluded detection by cooperating with private groups, including secretly funded émigré organizations bent on liberating their home countries from Soviet control. At the same time, the United States utilized Olympic host cities as launching pads for hyping the American economic and political system. Behind the scenes, meanwhile, the government attempted clandestine manipulation of the International Olympic Committee. Rider also details the campaigns that sent propaganda materials around the globe as the United States mobilized culture in general, and sports in particular, to fight the communist threat. Deeply researched and boldly argued, Cold War Games recovers an essential chapter in Olympic and postwar history. |
| business unintelligence insight and innovation beyond analytics and big data: Business Intelligence Guidebook Rick Sherman, 2014-11-04 Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. |
| business unintelligence insight and innovation beyond analytics and big data: Data Pipelines Pocket Reference James Densmore, 2021-02-10 Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting |
Business Unintelligence Insight And Innovation Beyond …
Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today's socially complex and rapidly changing world, business decisions must be based on a …
Business Unintelligence Insight And Data
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Denis Dennehy,Anastasia …
Business Unintelligence Insight And Data
Now, in Business unIntelligence, Devlin provides a sweeping view of the past, present, and future of business intelligence, while delivering new conceptual and physical models for how to turn …
Business Unintelligence Insight And Innovation Beyond …
BOOK REVIEW - Presidency University Barry Devlin argues that Business Unintelligence is the new way of making decisions based on a combination of rational and intuitive thinking since …
Business Unintelligence Insight And Innovation Beyond …
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data: Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today …
Business Unintelligence Insight And Data
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data Data Warehouse Barry Devlin,1997 Data warehousing is one of the hottest topics in the computing industry. …
Business Unintelligence Insight And Innovation Beyond
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data Book Review: Unveiling the Power of Words In a global driven by information and connectivity, the ability of …
Data Analytics and Business Intelligence - United Nations
Data analytics is a process by which important questions are framed and answered through the discovery, interpretation, and communication of meaningful patterns in data. Do we want an …
Business Unintelligence Insight And Innovation Beyond …
organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for …
Business Intelligence Challenges and How to Handle Them
Abstract - Business Intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business …
Business Unintelligence Insight And Innovation Beyond …
these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to …
Business Unintelligence Insight And Innovation Beyond …
Whispering the Techniques of Language: An Mental Quest through Business Unintelligence Insight And Innovation Beyond Analytics And Big Data In a digitally-driven earth where …
Business Unintelligence Insight And Innovation Beyond …
extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no …
Business Unintelligence Insight And Innovation Beyond
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data: Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today …
Business Unintelligence Insight And Innovation Beyond …
Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were …
Business Unintelligence Insight And Innovation Beyond …
organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for …
Business Unintelligence Insight And Innovation Beyond …
organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for …
Business Unintelligence Insight And Innovation Beyond …
Aug 23, 2022 · organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required …
Business Unintelligence Insight And Innovation Beyond …
Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today's socially complex and rapidly changing world, business decisions must be based on a …
Business Unintelligence Insight And Innovation Beyond …
Aug 23, 2022 · organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required …
Business Unintelligence Insight And Innovation Beyond …
Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today's socially complex and rapidly changing world, business decisions must be based on a …
Business Unintelligence Insight And Data
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Denis Dennehy,Anastasia …
Business Unintelligence Insight And Data
Now, in Business unIntelligence, Devlin provides a sweeping view of the past, present, and future of business intelligence, while delivering new conceptual and physical models for how to turn …
Business Unintelligence Insight And Innovation Beyond …
BOOK REVIEW - Presidency University Barry Devlin argues that Business Unintelligence is the new way of making decisions based on a combination of rational and intuitive thinking since …
Business Unintelligence Insight And Innovation Beyond …
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data: Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today …
Business Unintelligence Insight And Data
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data Data Warehouse Barry Devlin,1997 Data warehousing is one of the hottest topics in the computing industry. …
Business Unintelligence Insight And Innovation Beyond
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data Book Review: Unveiling the Power of Words In a global driven by information and connectivity, the ability of …
Data Analytics and Business Intelligence - United Nations
Data analytics is a process by which important questions are framed and answered through the discovery, interpretation, and communication of meaningful patterns in data. Do we want an …
Business Unintelligence Insight And Innovation Beyond …
organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for …
Business Intelligence Challenges and How to Handle Them
Abstract - Business Intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business …
Business Unintelligence Insight And Innovation Beyond …
these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to …
Business Unintelligence Insight And Innovation Beyond …
Whispering the Techniques of Language: An Mental Quest through Business Unintelligence Insight And Innovation Beyond Analytics And Big Data In a digitally-driven earth where …
Business Unintelligence Insight And Innovation Beyond …
extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no …
Business Unintelligence Insight And Innovation Beyond
Business Unintelligence Insight And Innovation Beyond Analytics And Big Data: Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today …
Business Unintelligence Insight And Innovation Beyond …
Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were …
Business Unintelligence Insight And Innovation Beyond …
organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for …
Business Unintelligence Insight And Innovation Beyond …
organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for …
Business Unintelligence Insight And Innovation Beyond …
Aug 23, 2022 · organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required …
Business Unintelligence Insight And Innovation Beyond …
Business UnIntelligence Barry Devlin,2013 Business unIntelligence reflects the new reality that in today's socially complex and rapidly changing world, business decisions must be based on a …
Business Unintelligence Insight And Innovation Beyond …
Aug 23, 2022 · organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required …
