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CALL FOR PAPERS: VLDB 06 Workshop on Business Intelligence for the Real-Time Enterprise

Subject: 2nd CFP: VLDB 06 Workshop on Business Intelligence for 
the Real-Time Enterprise
From: "Malu Castellanos" 
Date: Mon, 1 May 2006 12:31:07 -0400
X-Message-Number: 3

			     CALL FOR PAPERS
   First International Workshop on Business Intelligence for the Real Time
Enterprise (BIRTE 06)
			http://www.cc.gatech.edu/birte
			       September 11, 2006
	        	  In conjunction with VLDB’06
	       	       September 12-15, 2006, Seoul, Korea


IMPORTANT DATES

* Abstracts due: May 10, 2006
* Papers due: May 15, 2006
* Notification of acceptance: June 15, 2006
* Camera-ready copies: June 30, 2006

DESCRIPTION

In today’s competitive and highly dynamic environment, analyzing data to
understand how the business is performing, to predict outcomes and trends,
and to improve the effectiveness of business processes underlying business
operations has become critical. The traditional appraoch to reporting is
not longer adequate, users now demand easy-to-use intelligent platforms
and applications capable of analyzing real-time business data to provide
insight and actionable information at the right time. The end goal is to
improve the enterprise performance by better and timelier decision making,
enabled by the availability of up-to-date, high quality information.

As a response, the notion of "real-time enterprise" has emerged and is
beginning to be recognized in the industry. Gartner defines it as “using
up-to-date information, getting rid of delays, and using speed for
competitive advantage is what the real-time enterprise is all about...
Indeed, the goal of the real-time enterprise is to act on events as they
happen”

Although there has been progress in this direction and many companies are
introducing products towards making this vision reality, 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 real-time enterprise. From the
capturing of real-time business performance data to the injection of
actionable information back into business processes, 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, evolution of ETL
transformations and analytical models, and dynamic generation of adaptive
real-time dashboards, just to name a few.

TOPICS OF INTEREST

Models and Concepts for Real-time Enterprise Business Intelligence
    - Change management
    - Metadata, constraints and consistency issues
    - Data quality and cleaning
    - Decision making
    - Metric definition and management
    - Optimization
    - Schema design
 
Architectures for Real-time Enterprise Business Intelligence
    - Architectures
    - Data capture in real-time
    - Performance and scalability
    - Real-time decision support
    - Staging
    - Tuning and management of the real-time data warehouse
 
Uses cases of Real-time Enterprise Business Intelligence
     - Case studies
     - Pitfalls in applying B.I. tools to real-life problems
     - Lessons learned from large practical applications of real-time BI
 
Applications of Real-time Enterprise Business Intelligence
    - Applications
    - Control of the real-time enterprise
 
Technologies for the Real-time Enterprise Business Intelligence
    - Data warehouse evolution
    - ETL for the real-time data warehouse
    - Data mining and data analysis in real-time
    - Real-time Business Activity Monitoring (BAM)
    - Real-time OLAP
    - Real-time operational data stores
    - Streaming data
    - Visualization 

SPECIAL NOTE: To keep the focus of this workshop a paper must clearly
state how the work presented relates to the real-time enterprise, how the
results apply in this context and if possible, to provide some validation
of the application of the work to a real-life problem.

SUBMISSION GUIDELINES

Papers should be 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 12 pages. Papers should be submitted
electronically to the review web site
https://msrcmt.research.microsoft.com/BIRTE2006/  as PDF file.

PROCEEDINGS

Proceedings will be published by Springer-Verlag (with ISBN).

ORGANIZATION

General Chair
	Umesh Dayal
	Hewlett-Packard Laboratories, USA
	umeshwar.dayal@hp.com

PC Chairs
	Chris Bussler					
	Cisco Systems, Inc.
	chbussler@aol.com				

	Malu Castellanos
	Hewlett-Packard Labs
	malu.castellanos@hp.com			

	Sham Navathe
	Georgia Institute of Technology
	sham@cc.gatech.edu


Program Committee	
	Christof Bornhoevd, SAP Labs, USA
	Mike Franklin, UC Berkeley, USA
	Venkatesh Ganti, Microsoft, USA
	Dimitrios Georgakopoulos, Telcordia Technologies, USA
	Ramesh Jain, UC Irvine, USA
	Meichun Hsu, HP Labs, China
	Kamal Karlapalem, IIIT Hyderabad, India
	Frank Leymann, University of Stuttgart, Germany
	Rajesh Parekh, Yahoo, USA
	Torben B. Pedersen, Aalborg University, Denmark
	Ee Peng, National University of Singapore, Singapore
	Krithi Ramamritham, IIT Bombay, India
	W. M.P. Van der Alst, Eidhoven University of Technology, The Netherlands
	Panos Vassiliadis, Univ. of Ioannina, Greece
	Kazi Zaman, Siebel Systems Inc, USA

Publication Chair
	Kamal Karlapalem
	IIIT Hyderabad, India
	kamal@iiit.ac.in


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