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Libros sobre el tema "Integration with Business Intelligence tool"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 7 de febrero de 2022

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1

Tamar, Gilad, ed. The business intelligence system: A new tool for competitive advantage. New York, NY: American Management Association, 1988.

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2

Azevedo, Ana y Manuel Filipe Santos. Integration of data mining in business intelligence systems. Hershey: Business Science Reference, 2015.

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3

IEEE International Conference on e-Business Engineering (2008 Xi'an, China). Proceedings of the ICEBE 2008: IEEE International Conference on e-Business Engineering ; AiR 2008 : IEEE International Workshop on Advances in RFID ; EM2I 2008 : IEEE International on E-Marketplace Integration and Interoperability ; SOAIC 2008 : IEEE International Workshop on Service-Oriented Applications, Integration and Collaboration ; SOKM 2008 : IEEE International Workshop on Service-Oriented Knowledge Management ; BIMA 2008 : IEEE International Workshop on Business Intelligence Methodologies and Applications ; DKEEE 2008 : IEEE International Workshop on Data And Knowledge Engineering for E-service and E-business : 22-24 October, 2008, Xi'an, China. Los Alamitos, Calif: IEEE Computer Society, 2008.

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4

Tool Book for Business Strategic Integration. Ginn Pr, 1998.

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5

Business Intelligence Guidebook: From Data Integration to Analytics. Elsevier Science & Technology Books, 2014.

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6

Redbooks, IBM. E-Business Intelligence Front-End Tool Access to Os/390 Data Warehouse. Ibm, 2001.

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7

Data virtualization for business intelligence architectures: Revolutionizing data integration for data warehouses. Morgan Kaufmann, 2012.

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8

Business Analytics For Managers Taking Business Intelligence Beyond Reporting. John Wiley & Sons, 2010.

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9

Varela, Silvia R. Arroyo. Inteligencia competitiva / Competitive Intelligence: Una herramienta clave en la estrategia empresarial ? A Key Tool in Business Strategy (Empresa Y Gestion / Business and Management). Piramide Ediciones Sa, 2005.

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10

Reeve, April. Managing Data in Motion: Data Integration Best Practice Techniques and Technologies (The Morgan Kaufmann Series on Business Intelligence). Morgan Kaufmann, 2013.

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11

Henry, D. J. y Wendy Henry. Microsoft SQL Server 2008 Integration Services Business Intelligence Skills for MCTS 70-448 and MCITP 70-452 Video Mentor. Pearson Education, Limited, 2010.

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12

Knights Microsoft Business Intelligence 24hour Trainer Leveraging Microsoft Sql Server Integration Analysis And Reporting Services With Excel And Sharepoint. Wrox Press, 2010.

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13

Knight, Brian, Davis Mike, Patrick LeBlanc, Adam Jorgensen y Devin Knight. Knight's Microsoft Business Intelligence 24-Hour Trainer: Leveraging Microsoft SQL Server Integration, Analysis, and Reporting Services with Excel and SharePoint. Wiley & Sons, Incorporated, John, 2011.

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14

Ontology Management: Semantic Web, Semantic Web Services, and Business Applications (Semantic Web and Beyond). Springer, 2007.

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15

Lee, Jyh-An, Reto Hilty y Kung-Chung Liu, eds. Artificial Intelligence and Intellectual Property. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198870944.001.0001.

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This book explores artificial intelligence (AI), which has become omnipresent in today's business environment: from chatbots to healthcare services to various ways of creating useful information. While AI has been increasingly used to optimize various creative and innovative processes, the integration of AI into products, services, and other operational procedures raises significant concerns across virtually all areas of intellectual property (IP) law. Thus, AI has drawn extensive attention from IP experts globally and there have been some works on specific issues in the intersection between AI and IP. Surprisingly, however, there has not been a book providing a broad and comprehensive picture from the perspectives of the very nature of AI technology, its commercial implications, its interaction with different kinds of IP, IP administration, software and data, its social and economic impact on the innovation policy, and ultimately AI's eligibility as a legal entity. The book aims to fill the gap.
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16

The Expected Knowledge: What can we know about anything and everything? Tiruchirappalli: Sivashanmugam Palaniappan, 2012.

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17

Fischer, Nick. Mapping a Political Network. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040023.003.0005.

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This chapter examines the significance of the Anticommunist Spider Web to anticommunism. Members of the Anticommunist Spider Web formed a conspiracy against democracy that was far more influential than the “communist” conspiracy they fought. Protecting economic advantage was only part of the Anticommunist Spider Web's purpose. Business and political interests also used anticommunism as a tool to control foreign and domestic policy in the challenging environment created by the Great War, socialist revolutions in Europe, and the bitter industrial disputes of the postwar downturn. Government intelligence operatives were among those most concerned by anticommunism, and the Red Scare put state and military intelligence services at the heart of the Spider Web. This chapter discusses the relationship between the Bureau of Investigation, the US Army Military Intelligence Division, the US Navy Office of Naval Intelligence, and the private intelligence networks run by the Spider Web.
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