BIRTE: Business Intelligence for the Real-Time Enterprises



Past:   Proceedings on DBLP

Future:  Post a CFP for 2015 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
BIRTE 2014 Eighth International Workshop on Real-Time Business Intelligence
Sep 1, 2014 - Sep 1, 2014 Hangzhou, China May 26, 2014
BIRTE 2013 Seventh International Workshop on Real-Time Business Intelligence
Aug 26, 2013 - Aug 30, 2013 Trento, Italy May 29, 2013
BIRTE 2012 VLDB12 Workshop on Real-Time Business Intelligence
Aug 27, 2012 - Aug 31, 2012 Istanbul, Turkey Jun 13, 2012
BIRTE 2011 Fifth International Workshop on Real-Time Business Intelligence
Sep 2, 2011 - Sep 2, 2011 Seattle, USA Jun 17, 2011 (Jun 13, 2011)
BIRTE 2010 Fourth International Workshop on Enabling Real-Time Business Intelligence
Sep 13, 2010 - Sep 17, 2010 Singapore Jun 21, 2010 (Jun 16, 2010)
BIRTE 2009 Third International Workshop on Business Intelligence for the Real-Time Enterprise
Aug 28, 2009 - Aug 28, 2009 Lyon, France Jun 21, 2009 (Jun 19, 2009)

Present CFP : 2014

BIRTE 2014
Eighth International Workshop on
Business Intelligence for the Real-Time Enterprise
September 1, 2014
in conjunction with VLDB 2014
Hangzhou, China


* Abstracts due: May 23, 2014
* Papers due: May 30, 2014
* Notification: July 11, 2014
* Camera-ready copies: July 25, 2014


In today's competitive and highly dynamic environment, analyzing data to understand how the business is performing and to predict outcomes and trends has become critical. The traditional approach to reporting is no longer adequate. Instead users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time data to provide insight and actionable information at the right time. The end goal is to support better and timelier decision making, enabled by the availability of up-to-date, high-quality information.

Although there has been progress in this direction and many companies are introducing products towards meeting this goal, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires innovative techniques and methodologies capable of dealing with the requirements imposed by these new generation of BI applications. From the capture of real-time business data to the transformation and delivery of actionable information, all the stages of the Business Intelligence (BI) cycle call for new algorithms and paradigms to support value-added functionalities. These functionalities include dynamic integration of real-time data feeds from operational sources, optimization and evolution of ETL transformations and analytical models, and dynamic generation of adaptive real-time dashboards, just to name a few.

The series of BIRTE workshops, starting in 2006, have always been held in conjunction with VLDB. The series aims to provide a forum to discuss topics related to this emerging field and set research directions towards making business intelligence more real-time. Following the success of previous BIRTE editions (2006, 2008-2013) submissions for research, industrial, position, and demo papers on relevant topics are encouraged.


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, streaming engines
- 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.


Papers should follow the LNCS format (see for details). The length of research and industrial paper should not exceed 16 pages, whereas the maximum page limit for position papers and demo papers are 8 and 4 pages, respectively. Papers in PDF should be submitted electronically to the review web site


As in previous years, post-proceedings will be published as a LNBIP volume by Springer-Verlag.


* General Chair
Umesh Dayal, Hitachi Labs, USA

* PC Chairs
Malu Castellanos, HP Labs, USA
Nesime Tatbul, Intel Labs and MIT, USA

* Proceedings Chair
Jennie Duggan, MIT, USA

* PC Members
Christof Bornhoevd, SAP Labs, USA
Ben Chin Ooi, National University of Singapore, Singapore
Hakan Hacigumus, NEC Labs, USA
Howard Ho, IBM Almaden, USA
Meichun Hsu, HP Labs, USA
Alfons Kemper, TUM, Germany
Wolfgang Lehner, Dresden University of Technology, Germany
Alexander Loeser, University of Technology Berlin, Germany
Fatma Ozcan, IBM Almaden, USA
Torben B. Pedersen, Aalborg University, Denmark
Karthik Ramasamy, Twitter, USA
Amit Rustagi, Intuit, USA
Donovan Schneider, SalesForce, USA
Eric Simon, SAP-BO, France

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