Business Intelligenceand And Big Data Analytics Ii
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Business Intelligenceand And Big Data Analytics Ii
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-10
Business Intelligenceand And Big Data Analytics Ii written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with Computers categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Business Intelligence Strategy And Big Data Analytics
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Author : Steve Williams
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-04-08
Business Intelligence Strategy And Big Data Analytics written by Steve Williams and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-08 with Computers categories.
Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like "big data and "big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
Computational Intelligence Applications In Business Intelligence And Big Data Analytics
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Author : Vijayan Sugumaran
language : en
Publisher: CRC Press
Release Date : 2017-06-26
Computational Intelligence Applications In Business Intelligence And Big Data Analytics written by Vijayan Sugumaran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Computers categories.
There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.
Big Data Big Analytics
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Author : Michael Minelli
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-22
Big Data Big Analytics written by Michael Minelli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Business & Economics categories.
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Policies Of Business Intelligence Using Big Data Analytics
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Author : Dr. Yogesh Kumar Sharma , Dr. Rajendra Patil , Mr. Sachin Bhosale , Mr. Vinayak Pujari, Dr. Raju Shanmugam, Dr. Thirunavukkarasu Kannapiran
language : en
Publisher: Ashok Yakkaldevi
Release Date : 2020-12-10
Policies Of Business Intelligence Using Big Data Analytics written by Dr. Yogesh Kumar Sharma , Dr. Rajendra Patil , Mr. Sachin Bhosale , Mr. Vinayak Pujari, Dr. Raju Shanmugam, Dr. Thirunavukkarasu Kannapiran and has been published by Ashok Yakkaldevi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-10 with Art categories.
One approach to build up a valuable point of view about what business knowledge (BI) is and its significance in the business world is to take a gander at what business individuals talk about when the subject is BI. Building up a BI Strategy utilizing the techniques we'll portray in this book is a human serious procedure—as it ought to be. We can use demonstrated methods, however the nature of the results depends to a noteworthy degree on "getting into the heads" of key heads and chiefs. How would they see their reality, what are they hoping to achieve, and how would they need BI to support them? We can construct a business case that is "slug verification" from a consistent, corporate point of view, yet it likewise needs to reverberate with businessmen on a more instinctive level that squares with what they accept they would have the option to accomplish on the off chance that they would do well to BI. So to put a human face on BI, this section will step through the business difficulties and BI holes recognized by top heads in an assembling organization we'll call Big Brand Foods (BBF). We'll at that point sum up the BI Vision and BI Portfolio that risen up out of the system definition procedure and offer a few speculations about BI openings (BIOs) for other assembling organizations. While we've picked an assembling organization for this BI contextual investigation, the rationale and procedure of recognizing industry challenges, organization systems, utilitarian difficulties, and BIOs applies to any organization in any industry. Further, the perspectives on heads in the distinctive business capacities might be of incentive to chiefs in a similar capacity yet various businesses.
E Business
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Author : Robert M.X. Wu
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-05-19
E Business written by Robert M.X. Wu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-19 with Business & Economics categories.
This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.
Data Science And Business Intelligence For Corporate Decision Making
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Author : Dr. P. S. Aithal
language : en
Publisher: Srinivas Publication, Mangalore
Release Date : 2024-02-09
Data Science And Business Intelligence For Corporate Decision Making written by Dr. P. S. Aithal and has been published by Srinivas Publication, Mangalore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-09 with Art categories.
About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.
Data Analytics For Business Intelligence
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Author : Zhaohao Sun
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Data Analytics For Business Intelligence written by Zhaohao Sun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics, and intelligence. The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization. Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, and intelligence and to reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence. Multi-industry applications in business, management, and decision-making are provided. Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored. Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (descriptive, diagnostic, predictive, and prescriptive) computing, and analytics. This book is a useful resource with multi-industry applications for scientists, engineers, data analysts, educators, and university students.
Artificial Intelligence Big Data Iot And Block Chain In Healthcare From Concepts To Applications
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Author : Yousef Farhaoui
language : en
Publisher: Springer Nature
Release Date : 2024-08-17
Artificial Intelligence Big Data Iot And Block Chain In Healthcare From Concepts To Applications written by Yousef Farhaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-17 with Computers categories.
This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
Itng 2024 21st International Conference On Information Technology New Generations
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Author : Shahram Latifi
language : en
Publisher: Springer Nature
Release Date : 2024-07-08
Itng 2024 21st International Conference On Information Technology New Generations written by Shahram Latifi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Computers categories.
This volume represents the 21st International Conference on Information Technology - New Generations (ITNG), 2024. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.