Towards a functional taxonomy of enterprise business intelligence mashups

Organizations today are adopting business intelligence (BI) systems at a fast pace with the expectation that these systems will help them make better business decisions and improve their performance. But with the ever changing industry dynamics and variable business needs of end-users, the BI requirements of organizations are also getting unpredictable and increasingly harder to deliver by the service providers. Additionally, the advancement of web 2.0 & enterprise 2.0 technologies has opened up more possibilities for the development of user-centric innovative business applications. Enterprise BI mashups are a specific breed of such technologies that have the potential to empower end-users with self-service capabilities and facilitate problem-solving in ad-hoc situational BI scenarios. This paper presents an overview of the underlying concepts and drivers for enterprise mashups in a BI context. By deliberating how enterprise mashups can support the business intelligence needs and requirements of organizations and their end-users, we attempt to formulate a taxonomy framework of BI mashups. Such a framework is expected to advance an understanding of business process requirements that can be satisfied through the use of enterprise BI mashups, and also aid in the development of mashup toolkits targeted at BI end-users.