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Barriers to BI&A Generativity: Which Factors impede Stable BI&A Platforms from Enabling Organizational Agility

Kretzer, Martin; Maedche, Alexander; Gaß, Oliver

Abstract: To enable organizations to swiftly sense and respond to market changes, organizations have noticed the need to analyze the exploding amounts of available data. Therefore, employees frequently extend their Business Intelligence and Analytics (BI&A) platforms with numerous supplementary silo systems. However, those supplements also bear numerous threats such as replication of data and functionality. Therefore, extant literature recognized the need to implement highly generative BI&A platforms which evoke vast agility to users while at the same time providing a stable platform for further developments. Our work addresses this challenge by exploring contemporary BI&A platforms. We adopt a case study design to examine the BI&A platforms of four organizations. Our inquiry indicates five impediments and reveals how these organizations cope with them. We believe that these findings may help professionals to design generative BI&A platforms that empower users to perform exploratory analyses, integrate internal and external data, and enhance organizational agility.

Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Jahr 2014
Sprache Englisch
Identifikator ISBN: 978-1-63266-753-3
KITopen ID: 1000054938
Erschienen in Smart sustainability: the information systems opportunity : 20th Americas Conference on Information Systems (AMCIS 2014), Savannah, Georgia, USA, August 7 - 9, 2014; Vol. 3
Verlag Curran, Red Hook (NY)
Seiten 1987-1998
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