Introduction To Knowledge Information Strategy, An: From Business Intelligence To Knowledge Sciences
Introduction To Knowledge Information Strategy, An: From Business Intelligence To Knowledge Sciences

Author: Akira Ishikawa

Publisher: World Scientific Publishing Company

Published: 2013-02-21

Total Pages: 234

ISBN-13: 9814513822

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This book discusses the essence, concepts, techniques, and applications of business intelligence. It also explores different aspects of crisis management, knowledge management and knowledge sciences, the applications of business intelligence in contingencies and crises, environmental issues and group intelligence.The book is divided into three parts. The first part focuses on the significance of business intelligence, competition and intelligence, competitive information strategy, conflicts on patent issues, and the current state-of-the-art of business intelligence education in the US and France. The second part encompasses business intelligence and risk and crisis management, ecological issues and crisis management, business intelligence and knowledge management, and business intelligence as an organizational knowledge. The third part consists of case studies in business intelligence with special reference to the retail industry and the military arena. This part also focuses on applications of business intelligence.Finally, the book also envisages the future direction of knowledge information strategy. It will be of interest to students, academicians and people working in non-profit or non-government organizations.

Strategic Intelligence
Strategic Intelligence

Author: Jay Liebowitz

Publisher: CRC Press

Published: 2006-03-27

Total Pages: 244

ISBN-13: 1420013904

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Strategic intelligence (SI) has mostly been used in military settings, but its worth goes well beyond that limited role. It has become invaluable for improving any organization's strategic decision making process. The author of Strategic Intelligence: Business Intelligence, Competitive Intelligence, and Knowledge Management recognizes synergies amo

Strategic Intelligence for the Future 1
Strategic Intelligence for the Future 1

Author: Henri Dou

Publisher: John Wiley & Sons

Published: 2019-04-09

Total Pages: 254

ISBN-13: 1119527538

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Information in all its forms is at the heart of the economic intelligence process. It is also a powerful vector of innovation and, more than ever, a balance between economic and societal forces. Strategic Intelligence for the Future 1 analyzes the need for the French economic intelligence to mutate in order to develop the economy, strengthen social cohesion and protect vital interests. This mutation requires a change of attitudes and a new way of thinking, widely open to global change and new technologies. The focus of the French economic intelligence on conventional objectives such as business and the economy does not allow for the integration of its multiple possible fields and thus its global nature. The strategy, foresight and temporal dynamics necessary to the understanding of the world, and the new balance of power and control of complex situations, have thus increased the time needed to put this in place. Both theoretical and practical, this book provides a basis from which to develop "enhanced economic intelligence" leading to the implementation of global security.

Big Data Research for Social Sciences and Social Impact
Big Data Research for Social Sciences and Social Impact

Author: Miltiadis D. Lytras

Publisher: MDPI

Published: 2020-03-19

Total Pages: 416

ISBN-13: 3039282204

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A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Management in the Era of Big Data
Management in the Era of Big Data

Author: Joanna Paliszkiewicz

Publisher: CRC Press

Published: 2020-06-18

Total Pages: 249

ISBN-13: 1000093638

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This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of Science and Technology This book presents some meaningful work on Big Data analytics and its applications. Each chapter generates helpful guidance to the readers on Big Data analytics and its applications, challenges, and prospects that is necessary for organizational strategic direction. —Dr. Alex Koohang, Middle Georgia State University Big Data is a concept that has caught the attention of practitioners, academicians, and researchers. Big Data offers organizations the possibility of gaining a competitive advantage by managing, collecting, and analyzing massive amounts of data. As the promises and challenges posed by Big Data have increased over the past decade, significant issues have developed regarding how data can be used for improving management. Big Data can be understood as large amounts of data generated by the Internet and a variety of connected smart devices and sensors. This book discusses the main challenges posed by Big Data in a manner relevant to both practitioners and scholars. It examines how companies can leverage Big Data analytics to act and optimize the business. This book brings together the theory and practice of management in the era of Big Data. It offers a look at the current state of Big Data, including a comprehensive overview of both research and practical applications. By bringing together conceptual thinking and empirical research on the nature, meaning, and development of Big Data in management, this book unifies research on Big Data in management to stimulate new directions for academic investigation as well as practice.

Knowledge Management, Business Intelligence, and Content Management
Knowledge Management, Business Intelligence, and Content Management

Author: Jessica Keyes

Publisher: CRC Press

Published: 2006-05-22

Total Pages: 499

ISBN-13: 1420013866

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Knowledge management (KM) is the identification and analysis of available and required knowledge, and the subsequent planning and control of actions, to develop "knowledge assets" that enable businesses to generate profits and improve their competitive positions. This volume provides the framework for the strategic use of the information intelligen

Business Intelligence
Business Intelligence

Author: David Loshin

Publisher: Newnes

Published: 2012-11-27

Total Pages: 401

ISBN-13: 0123858909

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Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. - Guides managers through developing, administering, or simply understanding business intelligence technology - Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge - Contains a handy, quick-reference to technologies and terminology

E-Business Intelligence
E-Business Intelligence

Author: Bernard Liautaud

Publisher: McGraw-Hill Companies

Published: 2001

Total Pages: 306

ISBN-13: 9780071364782

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Publisher Fact Sheet How to leverage corporate information for reduced costs & increased profits.

Encyclopedia of Information Science and Technology, Fourth Edition
Encyclopedia of Information Science and Technology, Fourth Edition

Author: Khosrow-Pour, D.B.A., Mehdi

Publisher: IGI Global

Published: 2017-06-20

Total Pages: 8356

ISBN-13: 1522522565

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In recent years, our world has experienced a profound shift and progression in available computing and knowledge sharing innovations. These emerging advancements have developed at a rapid pace, disseminating into and affecting numerous aspects of contemporary society. This has created a pivotal need for an innovative compendium encompassing the latest trends, concepts, and issues surrounding this relevant discipline area. During the past 15 years, the Encyclopedia of Information Science and Technology has become recognized as one of the landmark sources of the latest knowledge and discoveries in this discipline. The Encyclopedia of Information Science and Technology, Fourth Edition is a 10-volume set which includes 705 original and previously unpublished research articles covering a full range of perspectives, applications, and techniques contributed by thousands of experts and researchers from around the globe. This authoritative encyclopedia is an all-encompassing, well-established reference source that is ideally designed to disseminate the most forward-thinking and diverse research findings. With critical perspectives on the impact of information science management and new technologies in modern settings, including but not limited to computer science, education, healthcare, government, engineering, business, and natural and physical sciences, it is a pivotal and relevant source of knowledge that will benefit every professional within the field of information science and technology and is an invaluable addition to every academic and corporate library.