Business Analytics: Books & eBooks

This book seeks to build a shared understanding of Artificial Intelligence (AI) within the global business scenario today and in the near future. Drawing on academic theory and real-world case studies, it examines AI's development and application across a number of business contexts. This book will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.

The Fourth Industrial Revolution, also known as Industry 4.0, refers to the industrial paradigm bringing together the digital and physical worlds through the cyber-physical Systems, enhanced by the Internet of Things aimed to increase the effectiveness of human-machine cooperation (HMC). This book deals with issues related to the challenges of Industry 4.0 that are faced by enterprises and universities. Topics include human resources management, marketing, technology enhancements and IT systems, and range from discussion of managing multi-national teams to product customization to IoT and RFID systems, and much more.

Once the rarified stuff of scientists and statisticians, data are now at the heart of our global digital economy, transforming everything from how we perceive the value of a professional athlete to the intelligence gathering activities of governments. This book offers an account of one format where users meet data every day: the dashboard, and the author guides readers on the historical development of this format.

The author combines his background in developing and implementing AI with scholarly research to address misconceptions about AI. He explains what AI can and cannot do, carefully delineating facts from beliefs or wishful thinking. Filled with examples, this practical Element provokes thinking.

The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications.

Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” This is a reference book that covers the subject of big data from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. This book provides clear and concise practical advice, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards.

This practical book explains how AI, ML, and data science can be applied to auditing. The book is for anyone interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of organizational processes. You also will learn how to gain insights into your data and become a better data storyteller.

Learn how to manage a modern data stack and get the most out of data in your organization. This book provides definitive direction on how best to leverage the modern data stack, including cloud computing, columnar storage, cloud ETL tools, and cloud BI tools. You'll learn how to work with Agile methods and set up processes that's right for your company to use your data as a key weapon for your success.

The success of a digital transformation is not a foregone conclusion. This highly complex process can impact major areas of an organization, and requires a systematic approach that goes beyond individual transformation initiatives. This work analyses and integrates existing approaches to managing and coordinating a digital transformation in order to identify relevant success factors of a digital transformation to develop a systematic framework and management model.

We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities. The book will facilitate better, smarter decision making by implementing AI-enabled analytics decision support tools. It shows how to uncover patterns and insights in data, and discover facts about your business that will unlock greater performance.

This book provides a broad overview of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software.

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting.

This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc.

Want to know more about the current research from the field of intelligent systems with practical applications to the areas of decision-making, economics, business and finance? This book covers the psychological and behavioral aspects, and the theory of decision-support, design of intelligent systems and development of machine learning tools.

Use artificial intelligence (AI) techniques to build tools for auditing your organization. This practical book has implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. This book is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.

This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. This book uses case studies and each chapter presents one or more in order to thoroughly explain the concepts.

Today, innovation does not just occur in large and incumbent R&D organizations. Instead, it often emerges from the start-up community. In the new innovation economy, the key is to quickly find pieces of innovation, some of which may already be developed. The authors point to the importance of data-driven innovation based on digital platforms, as their footprints are growing rapidly and in sync with the shift from analogue to digital innovation workflows.

The book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption.

The three-volume set selected papers from the refereed proceedings of the 13th International Conference on Cross-Cultural Design, CCD 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The papers are grouped as: Part I: Cross-cultural experience design; cross-cultural product design; cultural differences and cross-cultural communication; Part II: Culture, arts and creativity; culture, learning and well-being; social change and social development; Part III: CCD in cultural heritage and tourism; CCD in autonomous vehicles and driving; CCD in virtual agents, robots and intelligent assistants.

This book constitutes the proceedings of the 6th International Conference on Business Intelligence, CBI 2021, which took place in Beni Mellal, Morocco, during May 27-29, 2021. The 26 full and 6 poster papers included in this book were carefully reviewed and selected from a total of 60 submissions. They were organized in topical sections as follows: decision support, information systems and NLP; big data, datamining, Web services and Web semantics; optimization and decision support; signal, image and vision computing; networking, cloud computing and networking architectures in cloud.

This book constitutes the refereed proceedings of the 11th International Symposium on Business Modeling and Software Design, BMSD 2021, which took place in Sofia, Bulgaria, in July 2021. The 14 full and 13 short papers included in this book were carefully reviewed and selected from a total of 61 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: business processes, business models, information systems paradigms, IoT and blockchain based business models.