BIRTE 2009
Third International Workshop on
Enabling Real-Time Business Intelligence
http://www.cs.toronto.edu/db/birte09/
August 24, 2009
In conjunction with VLDB?09
August 24-28, 2009, Lyon, France


DESCRIPTION

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 critial. The traditional approach to reporting is no longer adequate, 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 new techniques and methodologies capable of dealing with the new requirements imposed by the new generation of BI applications. From the capturing 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 as the basis of new functionalities including 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 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 BIRTE 2006 held in Seoul, Korea in conjunction with VLDB 2006, and BIRTE 2008 held in Auckland, New Zealand in conjunction with VLDB 2008, submissions for research, industrial and position papers on relevant topics are encouraged.

TOPICS OF INTEREST

Models, Architectures and Technologies for Real-time Enterprise Business Intelligence

- Metadata management
- Data quality and cleansing
- BI over streaming data
- Data capture in real-time
- Performance and scalability
- Real-time decision support
- Tuning and management of the real-time data warehouse
- Data warehouse evolution
- ETL optimization
- ETL for the real-time data warehouse
- Data mining and data analysis in real-time
- Real-time Business Activity Monitoring (BAM)
- Real-time OLAP
- Visualization

Applications of Real-time Enterprise Business Intelligence

- Case studies
- Pitfalls in applying BI tools to real-life problems
- Lessons learned from large practical applications of real-time BI
- Industrial experiences and challenges

SUBMISSION GUIDELINES

Papers should follow the LNCS format (see http://www.springer.de/comp/lncs/authors.html for details).The first page must contain an abstract, a classification of the topic covered, preferably using the list of topics above, and an indication of the submission category (regular paper/position paper/industry paper). The length of a paper should not exceed 16 pages. Papers in PDF should be submitted electronically to the review web site https://cmt.research.microsoft.com/BIRTE2009/.

PROCEEDINGS

Post-proceedings will be published as a LNBIP volume by Springer-Verlag.

NEW! Best papers of sufficiently high quality will be recommended for the VLDB Journal.

ORGANIZERS

* General Chair
Umesh Dayal, Hewlett-Packard Labs, USA

* PC Chairs
Malu Castellanos, Hewlett-Packard Labs, USA
Renee J. Miller, University of Toronto, Canada

* PC members
Denilson Barbosa, University of Calgary, Canada
Salima Benbernou, University of Lyon and LIRIS, France
Mike Franklin, UC Berkeley, USA
Venkatesh Ganti, Microsoft, USA
Dimitrios Georgakopoulos, CSIRO, Australia
Howard Ho, IBM, USA
Alfons Kemper, Technical University of Munich, Germany
Wolfgang Lehner, Tech Univ of Dresden, Germany
Torben B. Pedersen, Aalborg University, Denmark
Rachel Pottinger, University of British Columbia, Canada
Krithi Ramamritham, Indian Institute of Technology Bombay, India
Elke Rundensteiner, Worcester Polytechnic Institute, USA
Donovan Schneider, Yahoo, USA
Timos Sellis, National Technical University of Athens, Greece
Eric Simon, Business Objects, an SAP company, France