-------- Original-Nachricht -------- Betreff: [isworld] CFP AMCIS 2009 Business Intelligence Mini-Track Datum: Thu, 4 Dec 2008 16:36:15 -0700 Von: Benjamin Shao Benjamin.Shao@asu.edu Antwort an: Benjamin Shao Benjamin.Shao@asu.edu An: AISWORLD Information Systems World Network isworld@lyris.isworld.org
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-------------------------------------------------------------- Call for Papers AMCIS Mini-track: Business Intelligence (Part of SIGDSS Track) 15th Americas Conference on Information Systems (AMCIS) San Francisco, California August 6 - 9, 2009
Mini-track website: http://amcis2009.org/images/stories/amcis09/doc/amcis-mt-032-2009-File00 1.pdf
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, the following: * 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
Mini-track Chairs Dr. Benjamin Shao, W. P. Carey School of Business, Arizona State University E-mail: Benjamin.Shao@asu.edu Dr. Robert St. Louis, W. P. Carey School of Business, Arizona State University E-mail: St.Louis@asu.edu
Submission Process Full paper submissions must be made electronically through the AMCIS on-line submission system by February 20th 2009. Papers should not exceed 5,000 words, including attachments.
Important Dates: * Full Papers Due: February 20, 2009 * Notification of Acceptance: April 2, 2009 * Camera Ready Copy Due: April 20, 2009
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