Share

Business Intelligence in Economic Forecasting: Technologies and Techniques

2010-06-30 Computers
Download Business Intelligence in Economic Forecasting: Technologies and Techniques PDF Online Free

Author :
Release : 2010-06-30
Genre : Computers
Kind : eBook
Book Rating : 302/5 ( reviews)

GET EBOOK


Book Synopsis Business Intelligence in Economic Forecasting: Technologies and Techniques by : Wang, Jue

Download or read book Business Intelligence in Economic Forecasting: Technologies and Techniques written by Wang, Jue. This book was released on 2010-06-30. 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.

Business Intelligence: Concepts, Methodologies, Tools, and Applications

2015-12-29 Computers
Download Business Intelligence: Concepts, Methodologies, Tools, and Applications PDF Online Free

Author :
Release : 2015-12-29
Genre : Computers
Kind : eBook
Book Rating : 633/5 ( reviews)

GET EBOOK


Book Synopsis Business Intelligence: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Business Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources. This book was released on 2015-12-29. 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.

Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks

2003-07-01 Games & Activities
Download Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks PDF Online Free

Author :
Release : 2003-07-01
Genre : Games & Activities
Kind : eBook
Book Rating : 077/5 ( reviews)

GET EBOOK


Book Synopsis Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks by : Raisinghani, Mahesh S.

Download or read book Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks written by Raisinghani, Mahesh S.. This book was released on 2003-07-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Business Forecasting

2021-05-11 Business & Economics
Download Business Forecasting PDF Online Free

Author :
Release : 2021-05-11
Genre : Business & Economics
Kind : eBook
Book Rating : 473/5 ( reviews)

GET EBOOK


Book Synopsis Business Forecasting by : Michael Gilliland

Download or read book Business Forecasting written by Michael Gilliland. This book was released on 2021-05-11. 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.

Data Science for Economics and Finance

2021 Application software
Download Data Science for Economics and Finance PDF Online Free

Author :
Release : 2021
Genre : Application software
Kind : eBook
Book Rating : 916/5 ( reviews)

GET EBOOK


Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

Download or read book Data Science for Economics and Finance written by Sergio Consoli. This book was released on 2021. 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.

You may also like...