Big Data Governance and Perspectives in Knowledge Management

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Publisher : IGI Global
ISBN 13 : 1522570780
Total Pages : 304 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Big Data Governance and Perspectives in Knowledge Management by : Strydom, Sheryl Kruger

Download or read book Big Data Governance and Perspectives in Knowledge Management written by Strydom, Sheryl Kruger and published by IGI Global. This book was released on 2018-11-16 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Big Data Governance

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Publisher :
ISBN 13 : 9781583473771
Total Pages : 0 pages
Book Rating : 4.4/5 (737 download)

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Book Synopsis Big Data Governance by : Sunil Soares

Download or read book Big Data Governance written by Sunil Soares and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a leading expert in the field, this guide focuses on the convergence of two major trends in information management--big data and information governance--by taking a strategic approach oriented around business cases and industry imperatives. With the advent of new technologies, enterprises are expanding and handling very large volumes of data; this book, nontechnical in nature and geared toward business audiences, encourages the practice of establishing appropriate governance over big data initiatives and addresses how to manage and govern big data, highlighting the relevant processes, procedures, and policies. It teaches readers to understand how big data fits within an overall information governance program; quantify the business value of big data; apply information governance concepts such as stewardship, metadata, and organization structures to big data; appreciate the wide-ranging business benefits for various industries and job functions; sell the value of big data governance to businesses; and establish step-by-step processes to implement big data governance.

Data Governance and Data Management

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Publisher : Springer Nature
ISBN 13 : 9811635838
Total Pages : 218 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data Governance and Data Management by : Rupa Mahanti

Download or read book Data Governance and Data Management written by Rupa Mahanti and published by Springer Nature. This book was released on 2021-09-08 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives.

A Research Agenda for Knowledge Management and Analytics

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Author :
Publisher : Edward Elgar Publishing
ISBN 13 : 1800370628
Total Pages : 256 pages
Book Rating : 4.8/5 (3 download)

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Book Synopsis A Research Agenda for Knowledge Management and Analytics by : Jay Liebowitz

Download or read book A Research Agenda for Knowledge Management and Analytics written by Jay Liebowitz and published by Edward Elgar Publishing. This book was released on 2021-01-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance.

Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics

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Publisher :
ISBN 13 : 9781787145061
Total Pages : pages
Book Rating : 4.1/5 (45 download)

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Book Synopsis Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics by : William Wang

Download or read book Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics written by William Wang and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Management, Innovation and Big Data

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Author :
Publisher : MDPI
ISBN 13 : 3039280082
Total Pages : 416 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Knowledge Management, Innovation and Big Data by : Patricia Ordóñez de Pablos

Download or read book Knowledge Management, Innovation and Big Data written by Patricia Ordóñez de Pablos and published by MDPI. This book was released on 2019-12-31 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: · Social Networks · Smart Education · Social Capital · Corporate Innovation · Disruptive Innovation · Knowledge integration · Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION In this section, knowledge management and big data applications and systems are presented. Selective topic include: · Crowdsourcing Analysis · Natural Language Processing · Data Governance · Knowledge Extraction · Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: · Big Social Networks on Sustainable Economic Development · Business Intelligence

Current Issues and Trends in Knowledge Management, Discovery, and Transfer

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Author :
Publisher : IGI Global
ISBN 13 : 1799821919
Total Pages : 450 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Current Issues and Trends in Knowledge Management, Discovery, and Transfer by : Jennex, Murray Eugene

Download or read book Current Issues and Trends in Knowledge Management, Discovery, and Transfer written by Jennex, Murray Eugene and published by IGI Global. This book was released on 2019-12-27 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: No matter the industry, the development of information technologies has transformed how information is distributed and used to predict trends. Collecting and identifying the most vital information, however, requires constant management and manipulation. Current Issues and Trends in Knowledge Management, Discovery, and Transfer is an essential reference source that discusses crucial practices for collaborating and distributing work as well as validating accrued knowledge from real-time data. Featuring research on topics such as dynamic knowledge, management systems, and sharing behavior, this book is ideally designed for academics, researchers, librarians, managing professionals, and students seeking coverage on knowledge acquisition and implementation across systems.

Non-Invasive Data Governance

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Publisher : Technics Publications
ISBN 13 : 1634620453
Total Pages : 148 pages
Book Rating : 4.6/5 (346 download)

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Book Synopsis Non-Invasive Data Governance by : Robert S. Seiner

Download or read book Non-Invasive Data Governance written by Robert S. Seiner and published by Technics Publications. This book was released on 2014-09-01 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Managerial Perspectives on Intelligent Big Data Analytics

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Publisher : IGI Global
ISBN 13 : 1522572783
Total Pages : 335 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Managerial Perspectives on Intelligent Big Data Analytics by : Sun, Zhaohao

Download or read book Managerial Perspectives on Intelligent Big Data Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2019-02-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

AI and Big Data’s Potential for Disruptive Innovation

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Publisher : IGI Global
ISBN 13 : 1522596895
Total Pages : 405 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis AI and Big Data’s Potential for Disruptive Innovation by : Strydom, Moses

Download or read book AI and Big Data’s Potential for Disruptive Innovation written by Strydom, Moses and published by IGI Global. This book was released on 2019-09-27 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Knowledge of the Law in the Big Data Age

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Publisher : IOS Press
ISBN 13 : 1614999856
Total Pages : 306 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Knowledge of the Law in the Big Data Age by : G. Peruginelli

Download or read book Knowledge of the Law in the Big Data Age written by G. Peruginelli and published by IOS Press. This book was released on 2019-07-23 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The changes brought about by digital technology and the consequent explosion of information known as Big Data have brought opportunities and challenges in all areas of society, and the law is no exception. This book, Knowledge of the Law in the Big Data Age contains a selection of the papers presented at the conference ‘Law via the Internet 2018’, held in Florence, Italy, on 11-12 October 2018. This annual conference of the ‘Free Access to Law Movement’ (http://www.fatlm.org) hosted more than 60 international speakers from universities, government and research bodies as well as EU institutions. Topics covered range from free access to law and Big Data and data analytics in the legal domain, to policy issues concerning access, publishing and the dissemination of legal information, tools to support democratic participation and opportunities for digital democracy. The book is divided into 3 sections: Part I provides an introductory background, covering aspects such as the evolution of legal science and models for representing the law; Part II addresses the present and future of access to law and to various legal information sources; and Part III covers updates in projects, initiatives, and concrete achievements in the field. The book provides an overview of the practical implementation of legal information systems and the tools to manage this special kind of information, as well as some of the critical issues which must be faced, and will be of interest to all those working at the intersection of law and technology.

Research Anthology on Privatizing and Securing Data

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Publisher : IGI Global
ISBN 13 : 1799889556
Total Pages : 2188 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Privatizing and Securing Data by : Management Association, Information Resources

Download or read book Research Anthology on Privatizing and Securing Data written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-04-23 with total page 2188 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Research Anthology on Big Data Analytics, Architectures, and Applications

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Author :
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Knowledge Management and Big Data Analytics for Strategic Decision Making

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Publisher : Engineering Science Reference
ISBN 13 : 9781799855521
Total Pages : 325 pages
Book Rating : 4.8/5 (555 download)

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Book Synopsis Knowledge Management and Big Data Analytics for Strategic Decision Making by : Abdalmuttaleb M.A. Musleh Al-Sartawi

Download or read book Knowledge Management and Big Data Analytics for Strategic Decision Making written by Abdalmuttaleb M.A. Musleh Al-Sartawi and published by Engineering Science Reference. This book was released on 2020-08 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses the multiple strands that feed into our understanding of sustainable big data and data analytics, as well as knowledge management"--

ICICKM2015-12th International Conference on Intellectual Capital Knowledge Management & Organisational Learning

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Author :
Publisher : Academic Conferences and publishing limited
ISBN 13 : 1910810738
Total Pages : 470 pages
Book Rating : 4.9/5 (18 download)

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Book Synopsis ICICKM2015-12th International Conference on Intellectual Capital Knowledge Management & Organisational Learning by : Vincent Ribière and Lugkana Worasinchai

Download or read book ICICKM2015-12th International Conference on Intellectual Capital Knowledge Management & Organisational Learning written by Vincent Ribière and Lugkana Worasinchai and published by Academic Conferences and publishing limited. This book was released on 2015-10-20 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Strategic Data-Based Wisdom in the Big Data Era

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Publisher : IGI Global
ISBN 13 : 1466681233
Total Pages : 312 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Strategic Data-Based Wisdom in the Big Data Era by : Girard, John

Download or read book Strategic Data-Based Wisdom in the Big Data Era written by Girard, John and published by IGI Global. This book was released on 2015-02-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to uncover, share, and utilize knowledge is one of the most vital components to the success of any organization. While new technologies and techniques of knowledge dissemination are promising, there is still a struggle to derive and circulate meaningful information from large data sets. Strategic Data-Based Wisdom in the Big Data Era combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition. Providing a multi-disciplinary perspective of the subject area, this book is an essential reference source for professionals and researchers working in the field of knowledge management who would like to improve their understanding of the strategic role of data-based wisdom in different types of work communities and environments.

Data Analytics for the Social Sciences

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Author :
Publisher : Routledge
ISBN 13 : 1000467082
Total Pages : 704 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data Analytics for the Social Sciences by : G. David Garson

Download or read book Data Analytics for the Social Sciences written by G. David Garson and published by Routledge. This book was released on 2021-11-30 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.