Business Intelligence

This book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process driven by a mix of human and technological capabilities to serve complex information needs in building insights and providing aid in decision making.

After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the complexity and multidimensionality of BI. It tackles both data integration and information integration issues. Bodies of knowledge and other widely accepted collections of experience are presented and turned into lessons learned. Following a straightforward introduction to the processes and technologies of BI the book embarks on BI maturity and agility, the components, drivers and inhibitors of BI culture and soft BI factors like attention, sense and trust.Eventually the book attempts to provide a holistic view on business intelligence, possible structures and tradeoffs and embarks to provide an outlook on possible developments in BI and analytics.

Presents a comprehensive introduction to value creation through business intelligence systems Provides a focus on human factors in business intelligence applications Introduces actual information needs as a new anchor viewpoint to complement data- and technology-driven approaches

Auteur

Rimvydas Skyrius is professor of economic informatics at University of Vilnius, Lithuania. His research interest lies in business intelligence and decision support technologies and systems, user interfaces, e-business and information needs. He is author and co-author of various papers in international journals and conferences and has co-authored three previous books.

Contenu
Introduction.- Business intelligence definition and problem space.- Business Intelligence Information Needs. Related Systems and Activities.- Business Intelligence Dimensions.- Information integration.- Management of experience and lessons learned.- Business Intelligence Technologies.- Business Intelligence Maturity and Agility.- Business Intelligence Culture.- Soft Business Intelligence Factors.- Encompassing BI. Education and research issues.