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First Workshop on Real-Time Business Intelligence (RTBI'09)
Suzhou, China, April 1, 2009
http://www.sap.com/china/company/sapresearch/en/rtbi09/index.htm

(Collocated with 2009 APWEB/WAIM Joint Conference) April 1-4, 2009
Conference web site: http://apweb-waim09.suda.edu.cn/

+ Abstract due: January 9, 2008 9PM PT
+ Paper due: January 16, 2008 9PM PT.


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Workshop co-chairs:
+ Wen-Syan Li (SAP Research China) wen-syan.li@sap.com
+ K. Selcuk Candan (Arizona State University) candan@asu.edu

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Workshop Theme and Topics of Interest

The first workshop on "Real-Time Business Intelligence" (RTBI'09),
co-located with APWEB/WAIM 2009 conference, focuses on the challenges
associated with the modeling, architectural designs, technologies, and
applications for real-time BI.

As one of the most critical tools in obtaining competitive advantage
(and thus surviving) in the business world, real-time business
intelligence is one of the key driving forces in IT investments.
Reliable and real-time collection of business intelligence requires
co-operation of the many loosely-coupled components of the IT
infrastructure of an enterprise. Consequently, as these
infrastructures become more complex and as the data sizes get closer
to the petabyte levels, designing and deploying real-time business
intelligence solutions is becoming a real challenge. In this workshop,
we would like to explore alternative solutions to the imminent
"scalability" problem in real-time business intelligence.

The workshop focuses on modeling, architectures, technologies,
applications for real time business intelligence in the following
areas:

+ Cloud and grid computing
+ BI over massive data volume (i.e. map reduce type of
parallel computing)
+ BI over streaming data
+ Real-time data capture, parsing, extraction,
cleaning, and replication.
+ Performance, reliability, and scalability
+ Real-time decision support systems
+ Tuning and management of the real-time data warehouse
+ Data warehouse evolution
+ Data mining and data analysis in real-time
+ Real-time Business Activity Monitoring (BAM)
+ Real-time OLAP
+ Real-time operational data stores
+ RFID and sensor network-based BI applications
+ Visualization
+ Benchmarking
+ Privacy issues
+ Uncertainty issues

We also solicit papers describing real world case studies on applying
BI tools to real-life problems and lessons learned from large
practical applications of real-time BI.

Publication:

Informal proceedings will be distributed at the workshop and all
papers accepted by APWeb-WAIM'09 workshops will be published in a
combined volume of Lecturer Notes in Computer Science series published
by Springer as post-workshop formal proceedings.

Submission Guidelines and Important Dates

The papers must be in English and should be formatted according to the
Springer-Verlag Lecture Notes in Computer Science guidelines. Author's
instructions and style files can be downloaded at
http://www.springer.de/comp/lncs/authors.html. The maximum length of
papers is 12 pages. All papers must be submitted by email to candan@asu.edu
in PDF format.

+ Abstract due: January 9, 2009 9PM PT
+ Paper due: January 16, 2009 9PM PT
+ Notification of acceptance: Feburary 16, 2009
+ Final camera version due: Feburary 28, 2009
+ Workshop date: April 1, 2009


Workshop format:

In addition to technical paper presentations, the workshop will
feature one invited keynote speaker and one invited talk session with
three case studies followed by a brief panel discussion on these real
world scenarios.

Workshop co-chairs:
+ Wen-Syan Li (SAP Research China) wen-syan.li@sap.com
+ K. Selcuk Candan (Arizona State University) candan@asu.edu

Local organizer:
+ Jian Xu (SAP Research China) weltall.xu@sap.com

PC members:
+ Divyakant Agrawal (UC, Santa Barbara, USA)
+ Walid G. Aref (Purdue University, USA)
+ Huiping Cao (Arizona State University, USA)
+ Fabio Casati (University of Trento, Italy)
+ Malu G. Castellanos (HP Labs, USA)
+ Xiaohui (Helen) Gu (North Carolina State University, USA)
+ Howard Ho (IBM Almaden Research Center, USA)
+ Xuemin Lin (University of New South Wales, Australia)
+ Thomas Phan (Microsoft, USA)
+ Nesime Tatbul (ETH Zurich, Switzerland)
+ Jun Tatemura (NEC Labs, USA)
+ Aoying Zhou (East China Normal University, China)
+ Daniel Zilio (IBM Toronto Labs, Canada)

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