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Data Analytics And Knowledge Management


Data Analytics And Knowledge Management
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Analytics And Knowledge Management


Analytics And Knowledge Management
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Author : Suliman Hawamdeh
language : en
Publisher: CRC Press
Release Date : 2018-08-06

Analytics And Knowledge Management written by Suliman Hawamdeh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Computers categories.


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.



Understanding Implementing And Evaluating Knowledge Management In Business Settings


Understanding Implementing And Evaluating Knowledge Management In Business Settings
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Author : Merlo, Tereza Raquel
language : en
Publisher: IGI Global
Release Date : 2022-06-24

Understanding Implementing And Evaluating Knowledge Management In Business Settings written by Merlo, Tereza Raquel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Business & Economics categories.


Although there are numerous publications in the field of knowledge management (KM), there are still gaps in the literature regarding the aspects of KM that reflect new technology adoption and a deeper analysis discussing the interlinked process between KM and data analytics in business process improvement. It is essential for business leaders to understand the role and responsibilities of leaders for the adoption and consolidation of a KM system that is effective and profitable. Understanding, Implementing, and Evaluating Knowledge Management in Business Settings provides a comprehensive approach to KM concepts and practices in corporations and business organizations. Covering topics such as information overload, knowledge sharing adoption, and collective wisdom, this premier reference source is a comprehensive and essential resource for business executives, managers, IT specialists and consultants, libraries, students, entrepreneurs, researchers, and academicians.



Knowledge Management And Big Data Analytics For Strategic Decision Making


Knowledge Management And Big Data Analytics For Strategic Decision Making
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Author : Abdalmuttaleb M.A. Musleh Al-Sartawi
language : en
Publisher:
Release Date : 2021

Knowledge Management And Big Data Analytics For Strategic Decision Making written by Abdalmuttaleb M.A. Musleh Al-Sartawi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.


"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
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Author : INTERNATIONAL MANAGEMENT SCHOOL.
language : en
Publisher:
Release Date : 2020

Data Analytics And Knowledge Management written by INTERNATIONAL MANAGEMENT SCHOOL. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.




Successes And Failures Of Knowledge Management


Successes And Failures Of Knowledge Management
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Author : Jay Liebowitz
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-06-17

Successes And Failures Of Knowledge Management written by Jay Liebowitz and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Business & Economics categories.


Successes and Failures of Knowledge Management highlights examples from across multiple industries, demonstrating where the practice has been implemented well—and not so well—so others can learn from these cases during their knowledge management journey. Knowledge management deals with how best to leverage knowledge both internally and externally in organizations to improve decision-making and facilitate knowledge capture and sharing. It is a critical part of an organization's fabric, and can be used to increase innovation, improve organizational internal and external effectiveness, build the institutional memory, and enhance organizational agility. Starting by establishing KM processes, measures, and metrics, the book highlights ways to be successful in knowledge management institutionalization through learning from sample mistakes and successes. Whether an organization is already implementing KM or has been reluctant to do so, the ideas presented will stimulate the application of knowledge management as part of a human capital strategy in any organization. - Provides keen insights for knowledge management practitioners and educators - Conveys KM lessons learned through both successes and failures - Includes straightforward, jargon-free case studies and research developed by the leading KM researchers and practitioners across industries



Knowledge Graphs And Big Data Processing


Knowledge Graphs And Big Data Processing
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Author : Valentina Janev
language : en
Publisher: Springer Nature
Release Date : 2020-07-15

Knowledge Graphs And Big Data Processing written by Valentina Janev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Computers categories.


This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.



Digital Technology Advancements In Knowledge Management


Digital Technology Advancements In Knowledge Management
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Author : Gyamfi, Albert
language : en
Publisher: IGI Global
Release Date : 2021-06-18

Digital Technology Advancements In Knowledge Management written by Gyamfi, Albert and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Business & Economics categories.


Knowledge management has always been about the process of creating, sharing, using, and applying knowledge within and between organizations. Before the advent of information systems, knowledge management processes were manual or offline. However, the emergence and eventual evolution of information systems created the possibility for the gradual but slow automation of knowledge management processes. These digital technologies enable data capture, data storage, data mining, data analytics, and data visualization. The value provided by such technologies is enhanced and distributed to organizations as well as customers using the digital technologies that enable interconnectivity. Today, the fine line between the technologies enabling the technology-driven external pressures and data-driven internal organizational pressures is blurred. Therefore, how technologies are combined to facilitate knowledge management processes is becoming less standardized. This results in the question of how the current advancement in digital technologies affects knowledge management processes both within and outside organizations. Digital Technology Advancements in Knowledge Management addresses how various new and emerging digital technologies can support knowledge management processes within organizations or outside organizations. Case studies and practical tips based on research on the emerging possibilities for knowledge management using these technologies is discussed within the chapters of this book. It both builds on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. This book highlights topics such as human-robot interaction, big data analytics, software development, keyword extraction, and artificial intelligence and is ideal for technology developers, academics, researchers, managers, practitioners, stakeholders, and students who are interested in the adoption and implementation of new digital technologies for knowledge creation, sharing, aggregation, and storage.



Knowledge Management And Competitive Advantage Issues And Potential Solutions


Knowledge Management And Competitive Advantage Issues And Potential Solutions
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Author : Chilton, Michael A.
language : en
Publisher: IGI Global
Release Date : 2013-10-31

Knowledge Management And Competitive Advantage Issues And Potential Solutions written by Chilton, Michael A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-31 with Business & Economics categories.


"This book examines current research in support of knowledge management by focusing on how knowledge resources can be used to create and sustain competitive advantages, combining imitation and innovation theories"--Provided by publisher.



Artificial Intelligence For Knowledge Management


Artificial Intelligence For Knowledge Management
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Author : Eunika Mercier-Laurent
language : en
Publisher: Springer Nature
Release Date : 2021-07-03

Artificial Intelligence For Knowledge Management written by Eunika Mercier-Laurent and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-03 with Computers categories.


This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.



Data Analytics And Management In Data Intensive Domains


Data Analytics And Management In Data Intensive Domains
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Author : Alexander Sychev
language : en
Publisher: Springer Nature
Release Date : 2021-07-15

Data Analytics And Management In Data Intensive Domains written by Alexander Sychev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Computers categories.


This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2020, held in Voronezh, Russia, in October 2020*. The 16 revised full papers and two keynotes were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: data Integration, conceptual models and ontologies; data management in semantic web; data analysis in medicine; data analysis in astronomy; information extraction from text. * The conference was held virtually due to the COVID-19 pandemic.