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Computing Predictive Analytics, Business Intelligence, and Economics

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Computing Predictive Analytics, Business Intelligence, and Economics Synopsis

This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume. One of BookAuthority’s Best New Analytics Books to Read in 2020!

About This Edition

ISBN: 9781774634196
Publication date: 31st March 2021
Author: Cyrus F. Nourani
Publisher: Apple Academic Press Inc.
Format: Paperback
Pagination: 304 pages
Series: Innovation Management and Computing
Genres: Information technology: general topics
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