Track: Organizational Systems and Technology
Minitrack: BI, Data Warehousing and Information Logistics

Analytical information systems represent an essential component
of the enterprise application landscape. Data warehousing, business
intelligence and information logistics are widely accepted as key
concepts to support data analysis and decision support in organizations and across organizational boundaries.

For effective and efficient data analysis and decision support,
comprehensive approaches which address the entirety of strategy,
organizational structuring, business processes, and IT implementation are
needed. Analytical information systems are facing the challenge of
continuous, company critical operations as well as adaption to
changing business requirements and new potentials of IT innovations. New concepts like operational BI or business process intelligence (BPI)
result from the convergence of business intelligence and business process
management. BI evolves to an integral part of business processes, providing analysis for a wide range of users.

In addition, the continuous extension of business requirements demands for advanced data integration approaches, architectures, and innovative
analytical capabilities (e.g. BI search).

Submissions are encouraged that address managerial, economic,
methodological, or technical perspectives on the above topics. The
minitrack provides a forum where both researchers and practitioners can
discuss current research issues and share their findings.


Topics include, but are not limited to

Emerging Trends in Data Warehousing / Business Intelligence /
Information Logistics:
Convergence of BI and business process management: operational BI,
business process intelligence, business activity monitoring, etc.
Advanced architectures: Real-time, active, and event-based data
warehousing, enterprise data warehouses, etc.
Data warehousing and the semantic web / Web 2.0
Delivery models for BI: open source, BI appliances, cloud computing, SaaS, etc.
Platforms for on-demand and mobile BI / Data warehousing & OLAP in mobile and wireless environments
Pervasive BI
In-memory analytics

BI Applications:
Online analytical processing (OLAP)
Corporate performance management
Customer relationship management
Dashboards and scorecards
Data and text mining
BI search: integration of OLAP and information retrieval / search engines
Advanced visualization techniques

Data Management Issues in the context of Data Warehousing / Business
Intelligence / Information Logistics:
Meta data management
(Data) quality management
Master data management
Information lifecycle management
Data integration approaches (ETL, EAI, EII, SOA)
Integration of unstructured and semi-structured data
Security and privacy
Data warehouse design (conceptual, logical, physical)
Multidimensional modeling and analysis
Data warehouse maintenance and evolution

Strategic and Managerial Issues:
DWH/BI/IL strategy
DWH/BI/IL governance
Economic justification and business cases
Benefits and business value
Green DWH/BI/IL
Development methodologies
Case studies

Minitrack Co-chairs:

Robert Winter (Primary Contact)
University of St.Gallen
Mueller-Friedberg-Strasse 8
CH-9000 St. Gallen
Switzerland
Phone: +41-71-224-2190
Fax: +41-71-224-2189
Email: robert.winter@unisg.ch

Barbara H. Wixom
McIntire School of Commerce
Rouss and Robertson Halls
The University of Virginia
Charlottesville, VA 22903
Phone: 434-924-8981
Fax: 434-924-7074
Email: bwixom@mindspring.com

Hugh J. Watson
Terry College of Business
The University of Georgia
Athens, GA 30602-6256
Phone: 706-542-3744
Email: hwatson@arches.uga.edu