Organizational Applications Of Business Intelligence Management Emerging Trends
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Organizational Applications of Business Intelligence Management: Emerging Trends by Herschel, Richard T. Pdf
"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.
Business Intelligence by Efraim Turban,Ramesh Sharda,Dursun Delen,David King,Janine E. Aronson Pdf
"We are experiencing a major growth in the use of computer-based decision support. Major companies such as IBM, Oracle, and Microsoft are creating new organizational units focused on analytics to help businesses get more effectiveness and efficiency out of their operations. As more and more decision makers become computer and Web literate, they are using more computerized tools to support their work. At the same time, consumers and organizations are generating unprecedented quantities of data through their interactions with each other. These data stores can be used to develop and promote appropriate products, services, and promotion to customers, and to optimize operations within an organization. The purpose of this book is to introduce the reader to technologies called business intelligence. In some circles, business intelligence (BI) is also referred to as business analytics. [The authors] use these terms interchangeably. This book presents the fundamentals of the techniques and the manner in which these systems are constructed and used. Most of the improvements made in this second edition concentrate on three areas: data mining, text and Web mining, and implementation and emerging technologies."--Preface.
Author : Gert H. N. Laursen,Jesper Thorlund Publisher : John Wiley & Sons Page : 321 pages File Size : 43,5 Mb Release : 2016-10-06 Category : Business & Economics ISBN : 9781119302537
Business Analytics for Managers by Gert H. N. Laursen,Jesper Thorlund Pdf
The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever. Learn how Hadoop can upgrade your data processing and storage Discover the many uses for social media data in analysis and communication Get up to speed on the latest in cloud technologies, data security, and more Prepare for emerging technologies and the future of business analytics Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data—Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now.
R&D Management in the Knowledge Era by Tuğrul Daim,Marina Dabić,Nuri Başoğlu,João Ricardo Lavoie,Brian J. Galli Pdf
This volume explores emerging models, methods and tools in the management of research and development (R&D) in the knowledge era, with a particular focus on the challenges of the emerging technologies. The contributions are organized in five parts. Part I, Managing Emerging Technologies, provides methods and tools to understand the challenges created by the emergence of new technologies. Part II, Technology and Engineering Management Tools and Policies, explores different technology and engineering tools, including topics such as product concept development, design, selection and adoption, using technology roadmaps and bibliometrics. Part III, Technological Innovation and Entrepreneurship, explores R&D, knowledge transfer and entrepreneurial education. Part IV, Commercialization of Technological Innovations, explores the development and application of the technology transfer process which allows managers to succeed in commercializing the outcomes of R&D projects. Part V, Managing the Engineering Enterprise, explores the effect economic decision-making, leadership styles, change management and quality management have on an organization’s ability to plan and execute initiatives and projects. Research and Development has always played a critical role in the engineering and technology focused industries. In an era of big data and smart applications, knowledge has become a key enabler for R&D. Managing R&D in the knowledge era requires use of key tools and methods. However, emerging technologies pose many challenges and cause uncertainties or discontinuities, which make the task of managing R&D even more difficult. This book will examine these challenges and provide tools and methods to overcome them. Exploring such industries as automotive, healthcare, business intelligence, energy and home appliances, this book is a valuable resource for academics, scholars, professionals and leaders in innovation, R&D, technology, and engineering management.
Business Intelligence by Rajiv Sabherwal,Irma Becerra-Fernandez Pdf
Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed.
Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences by Mohit Dua,Ankit Kumar Jain,Anupam Yadav,Nitin Kumar,Patrick Siarry Pdf
This book gathers selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2021), held at the National Institute of Technology, Kurukshetra, India, during May 07–09, 2021. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications, and data science techniques. The book is a collection of latest research articles in computation algorithm, communication, and data sciences, intertwined with each other for efficiency.
Encyclopedia of Information Science and Technology, Third Edition by Khosrow-Pour, Mehdi Pdf
"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.
Business Intelligence and Big Data by Celina M. Olszak Pdf
The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
Law and Economics of Public Procurement Reforms by Gustavo Piga,Tunde Tatrai Pdf
Appropriate laws and regulations are essential tools to direct the action of procurers toward the public good and avoid corruption and misallocation of resources. Common laws and regulations across regions, nations and continents potentially allow for the further opening of markets and ventures to newcomers and new ideas to satisfy public demand. Law and Economics of Public Procurement Reforms collects the original contributions related to the new European Union Directives approved in 2014 by the EU Parliament. They are of both economists and lawyers, and have been presented in a manner that allows for exchanges of views and "real time" interaction. This book features, for each section, an introductory exchange between two experts of different disciplines, made up of a series of sequential interactions between an economist and a lawyer, which enriches the liveliness of the debate and improve the mutual understanding between the two professions. Four sections characterize this book: Supporting social considerations via public procurement; Green public procurement; Innovation through innovative partnerships; and Lots - The Economic and Legal Challenges of Centralized Procurement. These themes have current relevance of the new European Public Procurement Directives. Written by an impressive array of experts in their respected fields, this volume is of great importance to practitioners who work in the field of EU public procurement in the Member States of the EU, as well as academics and students who study public finance, public policy and regulation.
Formalized Probability Theory and Applications Using Theorem Proving by Hasan, Osman Pdf
Scientists and engineers often have to deal with systems that exhibit random or unpredictable elements and must effectively evaluate probabilities in each situation. Computer simulations, while the traditional tool used to solve such problems, are limited in the scale and complexity of the problems they can solve. Formalized Probability Theory and Applications Using Theorem Proving discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. Combining practical application with theoretical discussion, this book is an important reference tool for mathematicians, scientists, engineers, and researchers in all STEM fields.
Convergent Cognitive Information Technologies by Vladimir Sukhomlin,Elena Zubareva Pdf
This book constitutes the refereed proceedings of the Third International Conference on Convergent Cognitive Information Technologies, Convergent 2018, held in Moscow, Russia, in December 2018. The 26 revised full papers and 9 short papers were carefully reviewed and selected from 147 submissions. The papers of this volume are organized in topical sections on theoretical questions of computer science, computational mathematics, computer science and cognitive information technologies; cognitive information technologies in control systems; big data and applications; the Internet of Things (IoT): standards, communication and information technologies, network applications; smart cities: standards, cognitive-information technologies and their applications.- cognitive information technologies in the digital economics.- digital transformation of transport.
Big Data, Big Analytics by Michael Minelli,Michele Chambers,Ambiga Dhiraj Pdf
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.
Entrepreneurship and Regional Development by Rajagopal,Ramesh Behl Pdf
This edited volume brings together research on symbiotic themes of entrepreneurship, resource planning, and regional development and their impact on global-local business imperatives. Discussions in this volume critically analyze the convergence of entrepreneurship, innovation, technology, business practices, public policies, political ideologies, and consumer values for improving the global-local business paradigm to support regional development. This book also delves into contemporary entrepreneurship models, converging business strategies towards entrepreneurial and industrial alliance in manufacturing, services, and marketing organizations. It contemplates the development of new business models and hybrid entrepreneurial perspectives to match the changing priorities of regional economic development in developing countries. This volume offers scholars new entrepreneurial visions and business perspectives of industries in emerging markets, while presenting a more integrated view to enable companies to innovate for long-term profitability and sustainability.
Decision Intelligence Analytics and the Implementation of Strategic Business Management by P. Mary Jeyanthi,Tanupriya Choudhury,Dieu Hack-Polay,T P Singh,Sheikh Abujar Pdf
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.
