Business Intelligence In Economic Forecasting Technologies And Techniques

Author : Wang, Jue
Publisher : IGI Global
ISBN 13 : 1615206302
Total Pages : 406 pages
Book Rating : 4.08/5 ( download)

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Download or read book Business Intelligence in Economic Forecasting: Technologies and Techniques written by Wang, Jue and published by IGI Global. This book was released on 2010-06-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466695633
Total Pages : 2284 pages
Book Rating : 4.34/5 ( download)

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Download or read book Business Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2015-12-29 with total page 2284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries.

Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.14/5 ( download)

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Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Author : Mahesh S. Raisinghani
Publisher : IGI Global
ISBN 13 : 9781591402060
Total Pages : 316 pages
Book Rating : 4.69/5 ( download)

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Download or read book Business Intelligence in the Digital Economy written by Mahesh S. Raisinghani and published by IGI Global. This book was released on 2004-01-01 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Michael Gilliland
Publisher : John Wiley & Sons
ISBN 13 : 1119782473
Total Pages : 435 pages
Book Rating : 4.76/5 ( download)

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Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. 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. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Author : Bhatnagar, Vishal
Publisher : IGI Global
ISBN 13 : 1466660872
Total Pages : 433 pages
Book Rating : 4.78/5 ( download)

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Download or read book Data Mining and Analysis in the Engineering Field written by Bhatnagar, Vishal and published by IGI Global. This book was released on 2014-05-31 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization. Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.

Author : Stephan Kudyba
Publisher : IGI Global
ISBN 13 : 9781930708037
Total Pages : 184 pages
Book Rating : 4.33/5 ( download)

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Download or read book Data Mining and Business Intelligence written by Stephan Kudyba and published by IGI Global. This book was released on 2001-01-01 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).

Author : Azevedo, Ana
Publisher : IGI Global
ISBN 13 : 1466664789
Total Pages : 340 pages
Book Rating : 4.84/5 ( download)

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Download or read book Integration of Data Mining in Business Intelligence Systems written by Azevedo, Ana and published by IGI Global. This book was released on 2014-09-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Author : Tomayess Issa
Publisher : SAGE Publications Limited
ISBN 13 : 1529614953
Total Pages : 381 pages
Book Rating : 4.54/5 ( download)

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Download or read book Management Information Systems written by Tomayess Issa and published by SAGE Publications Limited. This book was released on 2023-12-06 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a concise introduction to Management Information Systems. It introduces core concepts in an accessible style and adopts a contemporary approach that reflects the opportunities and challenges faced as businesses and technologies continue to evolve. Key features: · Coverage of key issues including sustainability and green IT, ethics and privacy, smart technologies, corporate social responsibility and big data · Definition boxes to consolidate understanding of key terms · Illustrative examples to engage and apply theory in the real-world · Pause for thought boxes to check understanding and encourage reflection · End of chapter case studies to illustrate key topics in practice, encourage critical thinking, application of knowledge and enhance learning · Comprehensive online support including PowerPoints, tutor’s guide and testbank of questions This textbook is suitable for undergraduate and postgraduate students studying introductory Management or Business Information Systems courses with no prior knowledge. Dr Tomayess Issa is a Senior Lecturer at Curtin University, Australia. Dr Theodora Issa is a Senior Lecturer at Curtin University, Australia. Dr Sarita Hardin-Ramanan is Head Faculty of IT at Curtin University, Mauritius. Dr Bilal Abu Salih is a Associate Professor at The University of Jordan, Jordan. Dr Lydia Maketo is a Lecturer at Curtin University, Australia. Dr Rohini Balapumi is a Lecturer at Curtin University, Australia. Dr S. Zaung Nau is a Lecturer at Curtin University, Australia. Dr Raadila Hajee Ahmud-Boodoo is a Teaching Instructor at Curtin University, Australia.

Author : Lawrence Maisel
Publisher : John Wiley & Sons
ISBN 13 : 1118240154
Total Pages : 276 pages
Book Rating : 4.51/5 ( download)

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Download or read book Predictive Business Analytics written by Lawrence Maisel and published by John Wiley & Sons. This book was released on 2013-09-26 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the breakthrough tool your company can use to make winning decisions This forward-thinking book addresses the emergence of predictive business analytics, how it can help redefine the way your organization operates, and many of the misconceptions that impede the adoption of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting. Examines how predictive business analytics can help your organization understand its various drivers of performance, their relationship to future outcomes, and improve managerial decision-making Looks at how to develop new insights and understand business performance based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as general and divisional senior management Visionary and effective, Predictive Business Analytics reveals how you can use your business's skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions.