Analytics and Knowledge Management

Analytics and Knowledge Management

Author: Suliman Hawamdeh

Publisher: CRC Press

Published: 2018-08-06

Total Pages: 333

ISBN-13: 1351806998

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The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.


Book Synopsis Analytics and Knowledge Management by : Suliman Hawamdeh

Download or read book Analytics and Knowledge Management written by Suliman Hawamdeh and published by CRC Press. This book was released on 2018-08-06 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

A Research Agenda for Knowledge Management and Analytics

A Research Agenda for Knowledge Management and Analytics

Author: Jay Liebowitz

Publisher: Edward Elgar Publishing

Published: 2021-01-29

Total Pages: 256

ISBN-13: 1800370628

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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.


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.

Analytics and Knowledge Management

Analytics and Knowledge Management

Author: Suliman Hawamdeh

Publisher: CRC Press

Published: 2018-08-06

Total Pages: 333

ISBN-13: 1351806998

DOWNLOAD EBOOK

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.


Book Synopsis Analytics and Knowledge Management by : Suliman Hawamdeh

Download or read book Analytics and Knowledge Management written by Suliman Hawamdeh and published by CRC Press. This book was released on 2018-08-06 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Organizational Intelligence and Knowledge Analytics

Organizational Intelligence and Knowledge Analytics

Author: Brian T. McBreen

Publisher: Emerald Group Publishing

Published: 2022-01-18

Total Pages: 160

ISBN-13: 1802621792

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Organizational Intelligence and Knowledge Analytics expands the traditional intelligence life cycle to a new framework - Design-Analyze-Automate-Accelerate - and clearly lays out the alignments between knowledge capital and intelligence strategies.


Book Synopsis Organizational Intelligence and Knowledge Analytics by : Brian T. McBreen

Download or read book Organizational Intelligence and Knowledge Analytics written by Brian T. McBreen and published by Emerald Group Publishing. This book was released on 2022-01-18 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizational Intelligence and Knowledge Analytics expands the traditional intelligence life cycle to a new framework - Design-Analyze-Automate-Accelerate - and clearly lays out the alignments between knowledge capital and intelligence strategies.

Big Data and Knowledge Sharing in Virtual Organizations

Big Data and Knowledge Sharing in Virtual Organizations

Author: Gyamfi, Albert

Publisher: IGI Global

Published: 2019-01-25

Total Pages: 313

ISBN-13: 1522575200

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Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.


Book Synopsis Big Data and Knowledge Sharing in Virtual Organizations by : Gyamfi, Albert

Download or read book Big Data and Knowledge Sharing in Virtual Organizations written by Gyamfi, Albert and published by IGI Global. This book was released on 2019-01-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.

Knowledge Management

Knowledge Management

Author: Shaofeng Liu

Publisher: Kogan Page Publishers

Published: 2020-01-03

Total Pages: 385

ISBN-13: 0749496878

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As knowledge economies become increasingly important around the world, it is essential that organizations are able to transform their knowledge into a competitive advantage. This textbook offers an interdisciplinary approach to knowledge management written specifically for postgraduate students in business and management schools. Knowledge Management presents classic and advanced concepts, models and frameworks using a clear logical structure, which covers building knowledge competence, the knowledge lifecycle, and integration of knowledge management with business decision making. An overall framework illustrates links between chapters and ensures readers can gain a body of actionable knowledge rather than learning isolated, uncontextualized topics. Based on cutting-edge research findings and covering the most advanced IT and IS technologies, this book emphasises the need for knowledge management to span boundaries across organizations, supply chains and partnerships, rather than being limited to individual learning and sharing within businesses. Knowledge Management is international in scope and includes real world case studies and role play scenarios to show how theories are applied in practice, and "think back" and "critique discussion" questions to encourage reflective learning and critical thinking. This indispensable text provides a dynamic picture of the evolution of knowledge management and demonstrates its full potential to enable better business decisions. Accompanying online resources include PowerPoint slides for lecturers and exercise questions for students.


Book Synopsis Knowledge Management by : Shaofeng Liu

Download or read book Knowledge Management written by Shaofeng Liu and published by Kogan Page Publishers. This book was released on 2020-01-03 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: As knowledge economies become increasingly important around the world, it is essential that organizations are able to transform their knowledge into a competitive advantage. This textbook offers an interdisciplinary approach to knowledge management written specifically for postgraduate students in business and management schools. Knowledge Management presents classic and advanced concepts, models and frameworks using a clear logical structure, which covers building knowledge competence, the knowledge lifecycle, and integration of knowledge management with business decision making. An overall framework illustrates links between chapters and ensures readers can gain a body of actionable knowledge rather than learning isolated, uncontextualized topics. Based on cutting-edge research findings and covering the most advanced IT and IS technologies, this book emphasises the need for knowledge management to span boundaries across organizations, supply chains and partnerships, rather than being limited to individual learning and sharing within businesses. Knowledge Management is international in scope and includes real world case studies and role play scenarios to show how theories are applied in practice, and "think back" and "critique discussion" questions to encourage reflective learning and critical thinking. This indispensable text provides a dynamic picture of the evolution of knowledge management and demonstrates its full potential to enable better business decisions. Accompanying online resources include PowerPoint slides for lecturers and exercise questions for students.

Analytics and Knowledge Management

Analytics and Knowledge Management

Author: Suliman Hawamdeh

Publisher: CRC Press

Published: 2018-08-06

Total Pages: 446

ISBN-13: 1351807005

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The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.


Book Synopsis Analytics and Knowledge Management by : Suliman Hawamdeh

Download or read book Analytics and Knowledge Management written by Suliman Hawamdeh and published by CRC Press. This book was released on 2018-08-06 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Knowledge Management and Big Data Analytics for Strategic Decision Making

Knowledge Management and Big Data Analytics for Strategic Decision Making

Author: Abdalmuttaleb M.A. Musleh Al-Sartawi

Publisher:

Published: 2021

Total Pages: 325

ISBN-13: 9781799855545

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"This book addresses the multiple strands that feed into our understanding of sustainable big data and data analytics, as well as knowledge management"--


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 . This book was released on 2021 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"--

DATA ANALYTICS AND KNOWLEDGE MANAGEMENT

DATA ANALYTICS AND KNOWLEDGE MANAGEMENT

Author: INTERNATIONAL MANAGEMENT SCHOOL.

Publisher:

Published: 2020

Total Pages:

ISBN-13: 9788622987770

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Book Synopsis DATA ANALYTICS AND KNOWLEDGE MANAGEMENT by : INTERNATIONAL MANAGEMENT SCHOOL.

Download or read book DATA ANALYTICS AND KNOWLEDGE MANAGEMENT written by INTERNATIONAL MANAGEMENT SCHOOL. and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Management

Knowledge Management

Author: Suliman Al-Hawamdeh

Publisher: Elsevier

Published: 2003-10-31

Total Pages: 241

ISBN-13: 1780631936

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This book serves as a reference for individuals interested in knowledge management (KM) and educational issues surrounding KM. It looks at KM as an emerging profession and the need to educate a new generation of knowledge professionals to deal with managing knowledge on the one hand and managing knowledge workers on the other hand. In particular, it examines the skills and competencies of knowledge professionals; and how educational programs can address these demands – covering such issues as determining the optimal mix of subjects from the various disciplines that develop the requisite professional competencies. The first book to cover KM education Adopts a multidisciplinary approach to KM education Based on the many years of experience of the author in KM education


Book Synopsis Knowledge Management by : Suliman Al-Hawamdeh

Download or read book Knowledge Management written by Suliman Al-Hawamdeh and published by Elsevier. This book was released on 2003-10-31 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a reference for individuals interested in knowledge management (KM) and educational issues surrounding KM. It looks at KM as an emerging profession and the need to educate a new generation of knowledge professionals to deal with managing knowledge on the one hand and managing knowledge workers on the other hand. In particular, it examines the skills and competencies of knowledge professionals; and how educational programs can address these demands – covering such issues as determining the optimal mix of subjects from the various disciplines that develop the requisite professional competencies. The first book to cover KM education Adopts a multidisciplinary approach to KM education Based on the many years of experience of the author in KM education