Moving Business Intelligence to cloud environments

Abstract

Business Intelligence systems use information technology to supply integrated management support with data coming from several sources of structured and unstructured data. The integrated infrastructures of Business Intelligence (BI) are often too complex and hence costly and inflexible. A solution for these issues is to leverage cloud computing services to enhance legacy BI systems and applications with cost-efficient increased scalability and flexibility. However, the migration of BI systems to cloud environments is usually hindered by strict requirements regarding privacy, security, or availability and a multitude of interdependences with other systems. In this paper, we describe the challenges in the adoption of BI within cloud environments and propose a cloud migration framework to assist decision makers in taking into account the consequences of the migration of BI systems to cloud environments as well as the impact of privacy, security, cost, and performance in so doing.

Improving Decision Quality for Business Users Based on Cloud-based Self-Service Business Intelligence Tools

“…These systems and the related processes are usually controlled by IT departments and are empowered by data scientists [17] . As BI 1.0 is rather rigid and costly, it is mostly adopted by large enterprises [9] .…”

“…Cloud computing, especially the SaaS service model (is explained later on), is a trigger for the evolution of BI 3.0. BI 3.0 solutions can be implemented and deployed quickly, flexibly, and cost-effectively [9] . The combination of BI 3.0 and cloud computing is referred to as cloud-based SSBI tools, which is a fast developing application area [21] .…”

“…The cloud technology and especially SaaS have had a significant impact on its deployment [9] . As a result, business users can autonomously implement applications and tailor them to their specific needs [28] .…”

“…A literature review on BI and SSBI proves that there is a high demand for sophisticated and user-friendly tools [8] . Based on the specific characteristics of cloud computing, these tools can be accessed anytime and anywhere, leading to a competitive advantage [9] .…”

Design science research contribution to business intelligence in the cloud — A systematic literature review

“…Several frameworks, architectures, and methodologies are implemented to help organizations that wish to migrate their BI to the cloud. Thus, Verdejo et al introduced a framework for BI migration to the cloud [33]. This framework supports a migration based on the requirements of the organizations that wish to move their BI system to the cloud premises.…”