Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud

摘要

Within the big data and cloud computing paradigms, traditional enterprise decision support systems (which are based on data warehouses and enterprise business intelligence) may not be as agile and as scalable as required. In this paper, the authors propose a service-oriented decision support system (SODSS) solution, where data, information, and analytics are modeled as reusable services in the cloud that can be dynamically composed for scalable, agile decision and process support.