Track Title: Business Intelligence
Adrian Gardiner, Georgia Southern University, firstname.lastname@example.org
Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of query and reporting, online analytical processing (OLAP), statistical analysis, enterprise performance management, and predictive analytics.
Suggested topics include (but are not limited to):
- Design, implementation, and assessment of innovative data warehousing, ETL, and OLAP approaches.
- Visual analytics, advanced interfaces, and human-computer interactions research for BI.
- Advanced text, data, and web mining research for emerging BI applications.
- Innovative knowledge discovery and knowledge management approaches for BI applications.
- Business process and workflow management research for BI, including operational analytics.
- Web intelligence, web analytics, and web 2.0 / 3.0 research for BI.
- Social analytics, opinion mining, and sentiment analysis for BI.
- Smart business networks, or inter-organizational networks, as they apply to BI.
- Teaching BI.
- Infusing collaboration into BI applications.
- Business case for advanced analytical applications, or approaches to measure the value of BI investments.
- Approaches to management, reuse, or diffusion of knowledge and insights that may be generated by BI.
- Case studies of organizations using BI.
- Conceptual papers on the direction of BI.
- Solutions or insights relating to addressing the silo problem experienced by many organizations.
- Use of mash-ups or other agile technologies, as they apply to BI.
- The potential of augmented reality or mobile communications within BI applications.
- Master data management or information management, as it applies to BI.