"This book provides the latest ideas and research on advancing the understanding and implementation of business intelligence within organizations"--Provided by publisher.

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and other organizational boundaries. Featuring coverage on a broad range of topics such as rise of embedded analytics, competitive advantage, and strategic capability, this book is ideally designed for business analysts, investors, corporate managers, and entrepreneurs seeking to advance their understanding and practice of business intelligence.

As there is a vast amount of information to consider when offering quality services, organizations have developed techniques for identifying risk factors to be taken into consideration when constructing effective business strategies. Developing Business Strategies and Identifying Risk Factors in Modern Organizations presents new methodologies currently being utilized to formulate and solve strategic issues in order to escape the jeopardy of possible business risks. By highlighting a multitude of sciences and their influences on modern organizations; this book is an essential reference for decision makers and researchers in business, industry, government, and academia.

Current research often highlights the importance of financial markets as well as financial system development. However, the current literature in this field still fails to adequately explain the relationship between financial market and macroeconomic development. Post-Keynesian Empirical Research and the Debate on Financial Market Development integrates the concept of financial intermediaries with Post-Keynesian macroeconomic modeling to discuss the relationship between financial markets and systems and macroeconomic development. Discussing key macroeconomic variables such as investment, savings, and productivity growth, this timely resource is essential for students, academicians, as well as finance and economics professionals interested in uncovering the latest research in this field.

As a rapidly rising force in the global market, Asian countries hold opportunities for growth and development. However, in order to successfully gain entry into this new part of the market, it will first be necessary to understand the motives and background behind Asian economies. Asian Business and Management Practices: Trends and Global Considerations analyzes the various strategies found in the Asian economic market. Showcasing a broad range of countries in Southeast Asia in addition to China and India, this publication is a broad, widely encompassing resource for academics, PhD students, experts, policymakers, and government officials interested in understanding the background and applications behind business success in Asia.

One of the most powerful tools available to an organization is its ability to create, maintain, and share knowledge and information vital to the success of the organization. From Manufacture to Mindfacture: A Relational Viable Systems Theory explores the concept of the organizational structure through the lens of the viable systems approach. Focusing particularly on human interaction and collaboration within a business setting, this research-based publication is ideally designed for use by business managers, social theorists, upper-level students, and researchers.

"This book offers a deep look into the latest research, tools, implementations, frameworks, architectures, and case studies within the field of Business Intelligence Management"--Provided by publisher.

In fields as diverse as research and development, governance, and international trade, success depends on effective communication. However, limited research exists on how professionals can express themselves consistently across disciplines. Modern Trends Surrounding Information Technology Standards and Standardization within Organizations showcases the far-ranging economic and societal ramifications incited by technical standardization between individuals, organizations, disciplines, and nations. This publication serves as a valuable model for inter-disciplinary scholars, IT researchers, and professionals interested in the link between technology and social change in an increasingly networked and interconnected global society.

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.