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Call for papers: Business Analytics, Business
Intelligence
and Big Data
[A Minitrack of the Organizational Systems and
Technology
Track]
HICSS-46 - January 7-10, 2013 - Grand Wailea,
Maui
Island
http://www.hicss.hawaii.edu
Submission date: June 15th 2012
The provision of the right data with appropriate quality
according to the
needs of decision makers or automated processes is crucial for
successful
operations of companies and government agencies. Management
Information
Systems, Decision Support Systems, Executive Information
Systems, interactive
online analysis (OLAP), data mining, dashboards and recently map
reduce
are examples for the historic advancement of business analytics
/ business
intelligence concepts for the front-end, while databases, data
warehousing
and recently ‘big data’ are examples for the development of the
underlying
technical infrastructure concepts. The smart combination of
task-oriented
front-end innovations and technology-driven infrastructure
innovations
allows for enhanced decision speed, more efficient extracting,
cleaning,
and aggregating data from source systems, maintaining and
analyzing larger
data sets, and demand-oriented access to data. From an
information systems
perspective, business analytics, business intelligence and ‘big
data’
constitute a dynamic, fascinating and highly relevant field of
research.
This includes managerial considerations (BI strategy, BI
organization and
governance, BI value, data quality management, etc.),
process-centric business
intelligence, and inter-organizational aspects.
This minitrack will accept papers with a
managerial,
an economic, a methodological or a technical perspective on the
above topics.
Contributions from the fields of theory building, design
research (methods
and models), action research as well as analyses of existing or
innovative
applications are welcome.
Excellent papers also will be considered for
publication
in a special issue of the International Journal of Business
Intelligence
Research or encouraged to be submitted to the Journal of
Business Intelligence.
Topics of interest include, but are not limited
to:
Emerging Trends in Business Analytics and
Business
Intelligence:
- Big data
- Real-time warehousing and operational business
intelligence
- Mobile and pervasive BI
- Qualitative BI (deriving business intelligence
from
qualitative data)
- Social Media Applications in BI
- Innovative applications of Advanced Business
Analytics
- Open data
- Cloud BI
Business Analytics/Business Intelligence
Applications:
- Business Process Intelligence
- Collaborative BI and collaborative analytics
- Performance Management and Dashboards
- Customer Relationship Management
- Supply Chain Management
- E-commerce
- Data mining
- Decision support systems
- Executive information systems
- Graphical information systems and spatial
analytics
- OLAP/ROLAP/MOLAP
Data Warehousing Process:
- Data extracting, cleaning, and transforming
- Meta-data management
- Integration of data warehousing with ERP
- Data quality management
- Data governance
Managerial and Technical Issues:
- Maturity models and Business Intelligence
strategy
- Security, privacy and ethical issues
- Industry-specific data warehousing
- Integration of structured and un-structured
data
- Development methodologies
- Business value
- BI Governance
- BI Challenges in NFP Organizations
- Data Quality
Abstracts are encouraged – but not required.
For conference and submission details, please
refer
to http://www.hicss.hawaii.edu/hicss_46/apahome46.htm
Minitrack Chairs:
Robert Winter, University of St.Gallen,
robert.winter@unisg.ch
Olivera Marjanovic, The University of Sydney,
olivera.marjanovic@sydney.edu.au
Barbara H. Wixom, The University of Virginia,
bwixom@virginia.edu