Business Intelligence in the Digital Economy
Title | Business Intelligence in the Digital Economy PDF eBook |
Author | Mahesh S. Raisinghani |
Publisher | IGI Global |
Total Pages | 316 |
Release | 2004-01-01 |
Genre | Business & Economics |
ISBN | 9781591402060 |
Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks.
The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
Title | The Big Data-Driven Digital Economy: Artificial and Computational Intelligence PDF eBook |
Author | Abdalmuttaleb M. A. Musleh Al-Sartawi |
Publisher | Springer Nature |
Total Pages | 472 |
Release | 2021-05-28 |
Genre | Computers |
ISBN | 3030730573 |
This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
Business Intelligence and Information Technology
Title | Business Intelligence and Information Technology PDF eBook |
Author | Aboul Ella Hassanien |
Publisher | Springer Nature |
Total Pages | 818 |
Release | 2023-07-03 |
Genre | Technology & Engineering |
ISBN | 9819934168 |
This book constitutes the refereed proceedings of the 2022 International Conference on Business Intelligence and Information Technology (BIIT 2022) held in Harbin, China, during December 17–18, 2022. BIIT 2022 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt. The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, and artificial intelligence technology.
Digital Economy, Business Analytics, and Big Data Analytics Applications
Title | Digital Economy, Business Analytics, and Big Data Analytics Applications PDF eBook |
Author | Saad G. Yaseen |
Publisher | |
Total Pages | 0 |
Release | 2022 |
Genre | |
ISBN | 9783031052590 |
This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.
The Digital Economy
Title | The Digital Economy PDF eBook |
Author | Don Tapscott |
Publisher | McGraw-Hill Companies |
Total Pages | 342 |
Release | 1996 |
Genre | Computers |
ISBN | 9780070633421 |
Looks at how the Internet is affecting businesses, education, and government, touching on the twelve themes of the new economy and privacy issues
Business Intelligence and Information Technology
Title | Business Intelligence and Information Technology PDF eBook |
Author | Aboul Ella Hassanien |
Publisher | Springer Nature |
Total Pages | 884 |
Release | 2021-12-15 |
Genre | Technology & Engineering |
ISBN | 303092632X |
This book constitutes the refereed proceedings of the 2021 International Conference on Business Intelligence and Information Technology (BIIT 2021) held in Harbin, China, during December 18–20, 2021. BIIT 2021 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt. The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, artificial intelligence technology.
Business Intelligence Success Factors
Title | Business Intelligence Success Factors PDF eBook |
Author | Olivia Parr Rud |
Publisher | John Wiley & Sons |
Total Pages | 304 |
Release | 2009-06-02 |
Genre | Business & Economics |
ISBN | 0470392401 |
Over the last few decades, the growth of Business Intelligence has enabled companies to streamline many processes and expand into new markets on an unprecedented scale. New BI technologies are also enabling mass collaboration and innovation. However, implementation of these BI solutions often gives rise to new challenges. Business Intelligence Success Factors shows you how to turn those challenges into opportunities by mastering five key skills. Olivia Parr Rud shares insights gained from her two decades of experience in Business Intelligence to offer the latest practices that are emerging in organizational development. Written to help enhance your understanding of the current business climate and to provide the tools necessary to thrive in this new global economy, Business Intelligence Success Factors examines the components of chaos theory, complex adaptive systems, quantum physics, and evolutionary biology. A scientific framework for these new corporate issues helps explain why developing these key competencies are critical, given the speed of change, globalization, as well as advancements in technology and Business Intelligence. Divided into four cohesive parts, Business Intelligence Success Factors explores: The current business landscape as well as the latest scientific research: today's business realities and how and why they can lead to chaos New scientific models for viewing the global economy The five essential competencies—Communication, Collaboration, Innovation, Adaptability, and Leadership—that improve an organization's ability to leverage the new opportunities in a volatile global economy Profiles of several amazing leaders who are working to make a difference Cutting-edge research and case studies via invited contributors offering a wealth of knowledge and experience Move beyond mere survival to realize breakaway success in the global economy with the practical guidance found in Business Intelligence Success Factors.