Business Intelligence for the Real Time Enterprise

September 1, 2014 - Hangzhou, China

Topics of Interest

Areas of particular interest for the workshop include (but are not limited to) the following, as THEY RELATE TO REAL-TIME BUSINESS INTELLIGENCE:

  • Analytics as a service
  • Analytics for Linked Data/semantic web
  • Big Data systems and applications for high-velocity data
  • Case studies and experience (lessons, pitfalls, guidelines) from real-time BI practice
  • Challenges from advanced domains, e.g., energy data or sensor data
  • Cloud intelligence
  • Collaborative real-time BI
  • Crowdsourcing and crowd intelligence
  • Data capture in real-time
  • Data mining, analytics, and OLAP for real-time decision support
  • Data quality and cleansing
  • Event-driven analytics
  • Integration of prediction models with real-time and historical data
  • Integration of open and private data
  • Linking business strategies with real-time BI
  • Novel architectures for real-time BI
  • Optimization, performance, and scalability
  • Privacy and security in real-time BI
  • Real-time ETL, ELT, and beyond
  • Streaming data
  • Tuning and management of the real-time data warehouse
  • Visualizing real-time data and information


We call for research, industrial, position, and demo submissions covering these topics of interest. Papers describing real-time BI systems, platforms, and applications are especially welcome.