- Table View
- List View
Big Business, Poor Peoples: How Transnational Corporations Damage the World's Poor
by John MadeleyTransnational corporations are one of the most important actors in the global economy, occupying a more powerful position than ever before. In their persistent battle to increase profits, they have increasingly turned to the developing world, a world that holds many attractions for them. But what is their impact on the poor?Now in its second edition, Big Business, Poor Peoples finds that these corporations are damaging the lives of millions of poor people in developing countries. Looking at every sector where transnational corporations are involved, this vital book is packed with detail on how the poor are affected. The book exposes how developing countries' natural resources are being ceded to TNCs and how governments are unwilling or unable to control them. The author argues that TNCs, answerable to no one but their shareholders, have used their money, size and power to influence international negotiations and taken full advantage of the move towards privatization to influence government policies; sovereignty is passing into corporate hands, and the poor are paying the price. But people are fighting back: citizens, workers, and communities are exposing the corporations and looking for alternatives.The first edition of this path-breaking book put the issue of transnational corporations and the poor firmly on the agenda. This second edition contains significant new and updated material and is an essential read for anyone who wants to know more about the effects of corporate power on the poor.
Big Change, Best Path: Successfully Managing Organizational Change with Wisdom, Analytics and Insight
by Warren ParryUsing ground-breaking modelling, Big Change, Best Path brings unique insights to the dynamics and process of organizational change, understanding success and failure, defining and describing the drivers and conditions of change, and the patterns and paths of organizational change. Author Warren Parry from Accenture Strategy shows that a whole new way of managing change is possible, from empirical benchmarking, predictive approaches that highlight the specific actions needed at any point of a change programme, and visualization for senior managers to show how each part of an organization is responding. The author also challenges many of the myths of change management and the dynamics of how organizations respond to change, clearly showing the common pitfalls and misunderstandings. Big Change, Best Path explains a new, more analytical way and process for driving successful change, and presents a ground-breaking vision for the future of how organizations can become more agile and resilient.
Big Change, Best Path: Successfully Managing Organizational Change with Wisdom, Analytics and Insight
by Warren ParryUsing ground-breaking modelling, Big Change, Best Path brings unique insights to the dynamics and process of organizational change, understanding success and failure, defining and describing the drivers and conditions of change, and the patterns and paths of organizational change. Author Warren Parry from Accenture Strategy shows that a whole new way of managing change is possible, from empirical benchmarking, predictive approaches that highlight the specific actions needed at any point of a change programme, and visualization for senior managers to show how each part of an organization is responding. The author also challenges many of the myths of change management and the dynamics of how organizations respond to change, clearly showing the common pitfalls and misunderstandings. Big Change, Best Path explains a new, more analytical way and process for driving successful change, and presents a ground-breaking vision for the future of how organizations can become more agile and resilient.
Big Citizenship: How Pragmatic Idealism Can Bring Out the Best in America
by Alan KhazeiAlan Khazei has pioneered ways to empower citizens to make a difference throughout his life. As a young graduate from Harvard Law School, he turned down lucrative offers from corporate law firms to found a non-profit called City Year with his friend, Michael Brown. City Year allowed young people to serve their communities—first in Boston, now in twenty cities across the U.S. and in Johannesburg, South Africa, and London, U.K.—through mentoring, tutoring, and leading children. It also allowed Khazei to be at the forefront of a generation of innovators who invented new methods of social entrepreneurship. Khazei not only built and ran a hugely successful organization with Brown, he explored how social change could be achieved through Congress, popular movements, and motivated alliances of groups. Khazei led the effort to defend AmeriCorps and then through his second organization, Be The Change, Inc., worked to secure its longterm future through the passage of the bipartisan Edward M. Kennedy Serve America Act. This journey—from the most local of grassroots engagement to the halls of Washington—is extraordinary in itself and a vital model for anyone despairing that change can ever be effected in a sclerotic political system. It can. Khazei has already proved it.
The Big Con: How the Consulting Industry Weakens our Businesses, Infantilizes our Governments and Warps our Economies
by Mariana Mazzucato Rosie CollingtonThere is an entrenched relationship between the consulting industry and the way business and government are managed today which must change.Mariana Mazzucato and Rosie Collington show that our economies' reliance on companies such as McKinsey, Boston Consulting Group, Bain & Company, PwC, Deloitte, KPMG and EY stunts innovation, obfuscates corporate and political accountability and impedes our collective mission of halting climate breakdown.The 'Big Con' describes the confidence trick the consulting industry performs in contracts with hollowed-out and risk-averse governments and shareholder value-maximizing firms. It grew from the 1980s and 1990s in the wake of reforms by both the neoliberal right and Third Way progressives, and it thrives on the ills of modern capitalism, from financialization and privatization to the climate crisis. It is possible because of the unique power that big consultancies wield through extensive contracts and networks - as advisors, legitimators and outsourcers - and the illusion that they are objective sources of expertise and capacity. To make matters worse, our best and brightest graduates are often redirected away from public service into consulting. In all these ways, the Big Con weakens our businesses, infantilizes our governments and warps our economies.Mazzucato and Collington expertly debunk the myth that consultancies always add value to the economy. With a wealth of original research, they argue brilliantly for investment and collective intelligence within all organizations and communities, and for a new system in which public and private sectors work innovatively for the common good. We must recalibrate the role of consultants and rebuild economies and governments that are fit for purpose.
Big Data: Opportunities and challenges
by BCS, The Chartered Institute for ITDespite the hype around big data, there is no denying that its potential to benefit organisations, businesses and customers is enormous. The articles in this ebook aim to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data.
Big Data: Grundlagen, Systeme und Nutzungspotenziale (Edition HMD)
by Daniel Fasel Andreas MeierDieser Herausgeber-Band bietet eine umfassende Einführung in das Gebiet Big Data. Neben einer Markteinschätzung und grundlegenden Konzepten (semantische Modellbildung, Anfragesprachen, Konsistenzgewährung etc.) werden wichtige NoSQL-Systeme (Key/Value Store, Column Store, Document Store, Graph Database) vorgestellt und erfolgreiche Anwendungen aus unterschiedlichen Perspektiven erläutert. Eine Diskussion rechtlicher Aspekte und ein Vorschlag zum Berufsbild des Data Scientist runden das Buch ab. Damit erhält die Leserschaft Handlungsempfehlungen für die Nutzung von Big-Data-Technologien im Unternehmen.
Big Data: A Business and Legal Guide
by James R. Kalyvas Michael R. OverlyBig Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible p
Big Data: A Business and Legal Guide
by James R. Kalyvas Michael R. OverlyBig Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible p
Big Data: Potential und Barrieren der Nutzung im Unternehmenskontext
by Stefanie KingStefanie King geht in ihrem Buch der Frage nach, weshalb Big Data, trotz des hohen Wertschöpfungspotentials, bis heute nicht in allen Industriezweigen und Unternehmen genutzt wird. Im ersten Teil des Buches behandelt sie die technologischen und kommunikationswissenschaftlichen Grundlagen sowie die Einsatzgebiete von Big Data. Anschließend untersucht sie die Barrieren und entwickelt potentielle Lösungsansätze. Die Autorin zeigt, dass die Herausforderungen von Big Data primär die Bereiche Daten, Ethik, Gesellschaft, Organisation, Rechtslage sowie Technologie betreffen, und erklärt, wie Unternehmen diese beeinflussen können. Die praktische Umsetzung von Potential und Lösungen veranschaulicht Stefanie King anhand eines führenden Unternehmens der Gesundheitsbranche in den Vereinigten Staaten von Amerika.
Big Data: A Game Changer for Insurance Industry (Emerald Studies in Finance, Insurance, and Risk Management #6)
by Kiran Sood, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Simon Grima, and R. Uma MaheshwariBig data – unstructured and/or structured data being used to influence underwriting, rating, pricing, forms, marketing and claims handling and incentivize risk reduction – is a relatively recent development in the insurance industry, the data sets previously being too impossibly great to analyse through traditional methods. However, with the global capacity to collect and store data growing alongside advancements in AI and machine learning technology, insurers need to seriously evaluate their technology stacks to ensure they can remain competitive and respond to growing customer demand. Striking a balance between the technical characteristics of the subject and the practical aspects of decision making, spanning from fraud analytics in claims management, to customer analytics, to risk analytics in solvency, the comprehensive coverage presented makes Big Data an invaluable resource for any insurance professional. Providing high quality academic research, Emerald Studies in Finance, Insurance, and Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.
Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
by Bernard MarrConvert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
by Bernard MarrConvert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
Big Data: The Essential Guide to Work, Life and Learning in the Age of Insight
by Viktor Mayer-Schonberger Kenneth CukierNew and expanded edition.An International Bestseller - Over One Million Copies Sold!Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award.Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why.We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Big Data: A Tutorial-Based Approach
by Nasir RaheemBig Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the ‘What’, ‘How’, and ‘Why’ of Big Data. Features Identifies the primary drivers of Big Data Walks readers through the theory, methods and technology of Big Data Explains how to handle the 4 V’s of Big Data in order to extract value for better business decision making Shows how and why data connectors are critical and necessary for Agile text analytics Includes in-depth tutorials to perform necessary set-ups, installation, configuration and execution of important tasks Explains the command line as well as GUI interface to a powerful data exchange tool between Hadoop and legacy r-dbms databases
Big Data: Understanding How Data Powers Big Business
by Bill SchmarzoLeverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Big Data: Understanding How Data Powers Big Business
by Bill SchmarzoLeverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Big Data: A Game Changer for Insurance Industry (Emerald Studies in Finance, Insurance, and Risk Management #6)
by Kiran Sood Rajesh Kumar Dhanaraj Balamurugan Balusamy Simon Grima R. Uma MaheshwariBig data – unstructured and/or structured data being used to influence underwriting, rating, pricing, forms, marketing and claims handling and incentivize risk reduction – is a relatively recent development in the insurance industry, the data sets previously being too impossibly great to analyse through traditional methods. However, with the global capacity to collect and store data growing alongside advancements in AI and machine learning technology, insurers need to seriously evaluate their technology stacks to ensure they can remain competitive and respond to growing customer demand. Striking a balance between the technical characteristics of the subject and the practical aspects of decision making, spanning from fraud analytics in claims management, to customer analytics, to risk analytics in solvency, the comprehensive coverage presented makes Big Data an invaluable resource for any insurance professional. Providing high quality academic research, Emerald Studies in Finance, Insurance, and Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.
Big Data: Opportunities and challenges
by The Chartered Institute for IT, BCSDespite the hype around big data, there is no denying that its potential to benefit organisations, businesses and customers is enormous. The articles in this ebook aim to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data.
Big Data: Promise, Application and Pitfalls
by Adrian Wilkinson John S. PedersenSince the early 2000s, digital data has transformed the way we live and work. This timely book looks to big data analytics to understand this revolutionary change, unpacking the impact of big data analytics on the mobilization and allocation of individuals, organizations and societies’ resources. Contributions from leading experts on modern technological trends examine the promises, applications and pitfalls of big data. The contributors assess the ways in which contemporary trajectories of data processing have increased efficiency and had a transformative effect on all avenues of life, from energy, tourism and social media, to human resources, welfare systems and urban citizenship. At a time when our personal data is more valuable than ever, this book seeks to make sense of how big data analytics has transformed our lives and how it will continue to shape society in the future. Astute and comprehensive, this book is critical reading for business and management scholars with a focus on information systems and communications technologies. It will also prove to be vital information for students and researchers of big data and digital society, as well as politics and administration more widely.
Big Data 2.0 Processing Systems: A Survey (SpringerBriefs in Computer Science)
by Sherif SakrThis book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and big data processing scenarios such as the large-scale processing of structured data, graph data and streaming data. Thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Lastly, Chapter 6 shares conclusions and an outlook on future research challenges. Overall, the book offers a valuable reference guide for students, researchers and professionals in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.
Big Data 2.0 Processing Systems: A Systems Overview
by Sherif SakrThis book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.
Big Data Analysis on Global Community Formation and Isolation: Sustainability and Flow of Commodities, Money, and Humans
by Yuichi Ikeda Hiroshi Iyetomi Takayuki MizunoIn this book, the authors analyze big data on global interdependence caused by the flows of commodities, money, and people, using a network science approach to obtain differing views of globalization and to clarify the facts on isolation of communities. Globalization reduces international economic inequality, i.e., it allows emerging countries to catch up while it increases relative poverty in some advanced countries. How should this trade-off between international and domestic inequalities be resolved? At the same time, the reduction of biocultural diversity caused by globalization needs to be avoided. What kind of change is required in local communities to conserve biocultural diversity? On the issue of commodity flow, research results of the supply-chain network, isolation in industry, and resource flows and stocks are presented in this book. For monetary flow, ownership networks, value-added networks, and profit shifting were studied; and regarding the flow of people, linkage of ethnic groups, immigrant assimilation, and refugees were examined. Based on the resulting view of globalization and isolation, the development of the isolation index using machine learning is discussed. Finally, recommendations for evidence-based policymaking in the United Nations are considered.
Big Data Analytics: Proceedings of CSI 2015 (Advances in Intelligent Systems and Computing #654)
by V. B. Aggarwal Vasudha Bhatnagar Durgesh Kumar MishraThis volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.
Big Data Analytics: Digital Marketing and Decision-Making
by Mansaf Alam Kiran ChaudharyBig Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making.