03716cam a22005298i 4500 9780429465468 FlBoTFG 20260210180803.0 m o d cr ||||||||||| 190416s2019 onc ob 001 0 eng OCoLC-P eng rda OCoLC-P 0429465467 9780429465468 (electronic bk.) 9780429878718 (electronic bk. : PDF) 0429878710 (electronic bk. : PDF) 9780429878701 (electronic bk. : EPUB) 0429878702 (electronic bk. : EPUB) 9780429878695 (electronic bk. : Mobipocket) 0429878699 (electronic bk. : Mobipocket) 9781771887298 (hardcover : alk. paper) 10.1201/9780429465468 doi (OCoLC)1098217867 (OCoLC-P)1098217867 HD30.215 COM 021030 bisacsh SCI 000000 bisacsh UB bicssc 658.1/1011 23 Computing predictive analytics, business intelligence, and economics : modeling techniques with startups and incubators / edited by Cyrus F. Nourani, PhD. Oakville, ON, Canada ; Palm Bay, Florida, USA : Apple Academic Press, 2019. 1 online resource text txt rdacontent computer n rdamedia online resource nc rdacarrier Innovation management and computing "This volume, Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Startups and Incubators, 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. The chapter authors address diverse issues in conjunction with computing predictive analytics, business intelligence, and economics, including university startup incubators, innovation in business, high-tech startups, strategic leadership, developing management systems, sustainable manufacturing and services, strategic decision trees, identifying business competencies, and more. The volume will prove informative to business managers, economists, technology leaders, start-ups, business school faculty and students, IT specialists, high-tech entrepreneurial groups, and others."-- Provided by publisher. OCLC-licensed vendor bibliographic record. Management Statistical methods. 9425 Business intelligence. New business enterprises. 3736 COMPUTERS / Database Management / Data Mining bisacsh SCIENCE / General bisacsh 1310 Nourani, Cyrus F., editor. Taylor & Francis https://www.taylorfrancis.com/books/9780429465468 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 91093 91092