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Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Startups and Incubators


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


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.

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