-------- Original-Nachricht -------- Betreff: [AISWorld] CFP: AMCIS 2010 Minitrack on Business Intelligence Datum: Thu, 7 Jan 2010 11:02:08 -0700 Von: Benjamin Shao Benjamin.Shao@asu.edu An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

Apologies for Cross Posting -------------------------------------------------------------- Call for Papers AMCIS Mini-track: Business Intelligence (Part of SIGDSS Track) 16th Americas Conference on Information Systems (AMCIS) August 12-15, 2010 Lima, Peru Description: The goal of business intelligence (BI) is to summarize massive amounts of disparate corporate data into succinct information that can help managers better understand their business processes, make informed decisions, and improve organizational efficiency. BI, for example, gives managers the ability to amalgamate enterprise-wide data into specific metrics that link customer service objectives to the performance of the sales force. In today's strapped economy, accurate real-time BI metrics are even more critical for measuring and managing business performance. Many technologies contribute to BI solutions, including databases, data warehouses, data marts, analytic processing, and data mining, among others. BI acquires data from multiple platforms and provides ubiquitous access. This presents numerous technical and managerial challenges. Among these challenges are data warehouse development methodologies, data consolidation from multiple sources, web integration, data visualization, real-time business metrics, data-mining applications, and issues related to securing and protecting data, infrastructure and the resulting intelligence. This mini-track aims to promote innovative research in these BI domains. Suggested topics include (but are not limited to): * Real-time business metrics (such as performance measurements) * Supporting the "balanced scorecard" * Using the warehouse to create "digital dashboards" * Data warehouse development * Data mart development * Critical success factors for data warehouse implementation * Data mining techniques (neural networks, genetic algorithms, decision trees) * Analytical processing * Customer profiling * Visualization techniques for enterprise data * Techniques for summarizing data * End user queries and query languages * Meta-data management * Integration of legacy data (transformation of data) * Assessing data warehouse performance * Considerations for the web-based data warehouse * Integration of web services with the data warehouse * Information extraction and report generation * Real-time decision making Important Dates: March 1, 2010 - Deadline for paper submissions. April 12, 2010 - Notification of acceptance of papers. April 26, 2010 - Final paper due. Submission Site: _http://mc.manuscriptcentral.com/amcis2010_ Mini-track Chairs: Benjamin Shao Arizona State University _ben.shao@asu.edu_ mailto:ben.shao@asu.edu (480)727-6790 Robert D. St. Louis Arizona State University _st.louis@asu.edu_ mailto:st.louis@asu.edu (480)965-1440