Business Intelligence And Agile Methodologies For Knowledge Based Organizations Cross Disciplinary Applications


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Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications


Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications

Author: Rahman El Sheikh, Asim Abdel

language: en

Publisher: IGI Global

Release Date: 2011-09-30


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Business intelligence applications are of vital importance as they help organizations manage, develop, and communicate intangible assets such as information and knowledge. Organizations that have undertaken business intelligence initiatives have benefited from increases in revenue, as well as significant cost savings.Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this book offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management.

Integration of Data Mining in Business Intelligence Systems


Integration of Data Mining in Business Intelligence Systems

Author: Azevedo, Ana

language: en

Publisher: IGI Global

Release Date: 2014-09-30


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Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Data and Knowledge Engineering


Data and Knowledge Engineering

Author: Yang Xiang

language: en

Publisher: Springer

Release Date: 2012-10-31


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This book constitutes the refereed proceedings of the International Conference on Data and Knowledge Engineering, ICDKE 2012, held in Wuyishan, Fujian, China, in November 2012. The conference was co-located with the 6th International Conference on Network and System Security, NSS 2012. The 13 revised full papers of ICDKE 2012 were carefully reviewed and selected from 53 submissions. The papers cover the following topics: artificial intelligence and data engineering; knowledge discovery and data management; information extraction and retrieval and data security.