BUSINESS INTELLIGENCE IN CLOUD
Abstract. The paper reviews and critiques current research on Business Intelligence (BI) in cloud. This review highlights that organizations face various challenges using BI cloud. The research objectives for this study are a conceptualization of the BI cloud issue, as well as an investigation of some benefits and risks from BI cloud. The study was based mainly on
a critical analysis of literature and some reports on BI cloud using. The results of this research can be used by IT and business leaders as they plan and develop BI cloud in their organizations.
Key words: business intelligence, cloud computing, business intelligence cloud
Recently many scholars and practices consider that cloud computing is a new technology to have the potential to transform a large part of the IT industry (Armbrust et al., 2010; Darrow, 2012). Cloud computing presents a model that provides on demand access to software and hardware resources with minimal management efforts. It gives users the facility to access computing power to which they might not otherwise have access due to financial or organizational limitations (Daugherty and Raj, 2008; Deshpande and Joshi, 2014; Tamer et al., 2013).
While various sectors already use this new technology successfully, the integration in more demanding areas such as Business Intelligence (BI) still holds many challenges. According to some authors cloud computing is not suited for all organization, especially in the field of BI (Cloud Security Alliance, 2010; Gurjar and Rathore, 2013; Hayes, 2008, Ouf and Nasr, 2011; Thomoson and van der Walt, 2010).
Although, the idea of cloud computing has been explored for several years, unfortunately the investigations on BI cloud are only partly addressed by any existing research. The studies are rather rare, fragmentary and do not describe in
a comprehensive way the benefits as well as risks offered by BI cloud. This paper seeks to throw more light on the concept of BI cloud.
The research objectives for this study are: (1) a conceptualization the of the BI cloud issue, (2) an investigation of some benefits and risks from BI cloud. In order to address these objectives, the remainder of the paper is structured as follows: The first section provides the theoretical foundations of BI and cloud computing theory. Next, the BI cloud was conceptualized. Finally, some benefits and risks of BI cloud were explored. The study was based mainly on: (1) a critical analysis of literature, and (2) some reports of BI cloud using. The results of this research can be used by IT and business leaders as they plan and develop BI cloud in their organizations.
The main conclusion for this study is that cloud computing trends cannot be ignored in BI field. Cloud computing promises significant benefits. Cloud BI has been developed in order to enhance the efficiency and productivity of business intelligence and increase the performance of BI software. It helps in shorting BI implementations, reduction of cost BI applications. Cloud facilitates testing and upgrading of BI programs. Despite of these undoubted advantages, there are various risks and vulnerabilities during cloud BI using. Security, data protection, lack of control, and several other barriers prevent widespread adoption of the BI cloud. It also seems that many factors (including the size of the organization, its nature, and its strategic objectives) have to be considered to reasonably assess the use of BI clouds.
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BUSINESS INTELLIGENCE W CHMURZE
Streszczenie: W artykule dokonano krytycznego przeglądu i analizy literatury przedmiotu na temat Business Intelligence w chmurze (cloud computing). Zwrócono uwagę, że organizacje, które decydują się na przetwarzanie w chmurze stają przed różnymi wyzwaniami i problemami. Celem opracowania jest konceptualizacja zagadnienia BI
w chmurze, jak również zbadanie korzyści oraz niebezpieczeństw wynikających ze stosowania przetwarzania w chmurze. Badania przeprowadzono w oparciu o krytyczną analizę literatury przedmiotu oraz raporty firm analitycznych. Uzyskane wyniki badań mogą okazać się użyteczne dla specjalistów IT i menedżerów, planujących w swoich organizacjach rozwój przetwarzania w chmurze.
Słowa kluczowe: Business Intelligence, przetwarzanie w chmurze, chmura Business Intelligence