Report on the Second International Workshop on Cloud Intelligence (Cloud-I 2013)

摘要

Business intelligence (BI) is a broad field related to integrating, storing and analyzing data to help decision-makers in many domains (from "real" business to administration, health, and environment) make better decisions. Front-end analytics methods include reporting, on-line analytical processing (OLAP), and data mining. With the increasing success of cloud computing, cloud BI "as a service" offerings have started appearing, both from cloud start-ups and major BI industry vendors. Beyond porting BI features into the cloud, which already implies numerous issues (e.g., BigData/NoSQL database modeling and storage, data localization, security and privacy, performance, cost and usage models...), this trend also poses new, broader challenges for making data analytics available to small and middle-size enterprises (SMEs), non-governmental organizations, Web communities (e.g., supported by social networks), and even the average citizen; this vision presumably requiring a mixture of both private and open data.