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A method for modeling and analyzing different approaches to Agile BI

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Mahlouji, Navid
Tutor / directorRomero Moral, ÓscarMés informacióMés informacióMés informació; Yu, Eric
Document typeMaster thesis
Date2014-07
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The main focus of Business Intelligence (BI) is to help businesses extract information and insight from the available data to be able to adapt their internal and external processes in a fast pace. During the past few years the word agile is increasingly used with business intelligence. It is due to the fact that business requirements are changing and current market demands for more flexible and more agile BI systems. However, the complexity of BI systems on the one hand and the vague definition of the concept of agility on the other hand promote the need for having a systematic way to study the capabilities of such systems. Among those capabilities are fast integration of heterogeneous data sources, providing flexible data analytic platforms, introducing selfservice BI experience and reducing development time and cost. To analyze such capabilities, we look for ways to identify different viewpoints and interpretation of the system in an organization to analyze what configuration of resources within an enterprise can be expressed from (1) the organizational context and its multiple viewpoints; (2) information systems, IT resources and skillsets; (3) the relations among the previous ones; (4) the satisfaction of the functional and non-functional requirements. Analyzing and comparing software architecture designs achieve this goal.
SubjectsBusiness intelligence, Management information systems, Sistemes d'informació per a la gestió
DegreeMÀSTER UNIVERSITARI ERASMUS MUNDUS EN TECNOLOGIES DE LA INFORMACIÓ PER A LA INTEL·LIGÈNCIA EMPRESARIAL (Pla 2012)
URIhttp://hdl.handle.net/2099.1/24719
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