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Computing Predictive Analytics, Business Intelligence, and Economics - Modeling Techniques with Start-ups and Incubators (Hardcover) Loot Price: R3,359
Discovery Miles 33 590
Computing Predictive Analytics, Business Intelligence, and Economics - Modeling Techniques with Start-ups and Incubators...

Computing Predictive Analytics, Business Intelligence, and Economics - Modeling Techniques with Start-ups and Incubators (Hardcover)

Cyrus F Nourani

Series: Innovation Management and Computing

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Loot Price R3,359 Discovery Miles 33 590 | Repayment Terms: R315 pm x 12*

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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!

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Series: Innovation Management and Computing
Release date: June 2019
First published: 2020
Editors: Cyrus F Nourani
Dimensions: 229 x 152 x 22mm (L x W x T)
Format: Hardcover
Pages: 312
ISBN-13: 978-1-77188-729-8
Categories: Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 1-77188-729-X
Barcode: 9781771887298

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