CALL FOR CHAPTERS 07/19/2002 Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks Editor: Mahesh S. Raisinghani Graduate School of Management, University of Dallas Phone: (972) 721-5173, Fax: (972) 721-4007, Email: mraising@gsm.udallas.edu Publisher: Idea Group Publishing, Hershey, Pennsylvania, USA Executive Summary: Business intelligence (BI) is important in helping companies stay ahead of the competition by providing the means for quicker, more accurate and more informed decision making. BI is a general term for applications, platforms, tools and technologies that support the process of exploring business data, data relationships and trends. BI applications provide companies with the means to gather and analyze data that facilitates reporting, querying and decision making. The most agile BI products/services are not confined by industry classification and can create an infinite number of possible applications for any business department or a combination of departments. Business intelligence (BI) provides timely and accurate information to better understand your business and to make more informed, real-time business decisions. Full utilization of BI solutions can optimize business processes and resources, improve proactive decision making and maximize profits/minimize costs. These solutions can create an infinite number of possible applications for finance, competition monitoring, accounting, marketing, product comparison or a combination of a number of business areas. The most agile BI solutions can be used in any industry and provide an infinite number of value-increasing possibilities for any organization. The purpose of this executive’s guide on business intelligence is to describe what Business Intelligence is; how it is being conducted and managed; and its major opportunities, limitations, issues and risks. The objective of the proposed book is to bring together some high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks. The audience of this book are MBA students, business executives, consultants, seniors in an undergraduate business degree program, and students in vocational/technical training institutes. The scholarly value of this proposed book and its contribution will be to the literature in information systems/e-business discipline. None of the current books on the market address this topic from a holistic perspective. Some are more geared towards knowledge management or artificial intelligence. Others take a more computer science and engineering perspective or a statistical analysis perspective. Possible topics that could be addressed in this book include (but are not limited to): BI framework/s, architecture, infrastructure, taxonomy, epistemology, and ontology Key features, issues, opportunities, limitations and risks when evaluating BI applications Management factors that affect strategic BI success Critical lessons from the first decade of BI Real-world customer analytics BI Technologies – Databases optimized for frequent, high volume, multidimensional queries. BI Analytic Applications – Pre-built applications with defined metrics, methodologies and processes for addressing business problems associated with specific vertical markets or functional areas of a company. BI Analysis Tools – Applications that are not vertical-market or business-function specific, but provide essential functions such as data visualization, reporting and querying. BI Development Platform – These building blocks allow for the customized development of analytic applications to meet any business requirements. Platforms may include a programming language such as Java, Visual Basic or C and/or pre-built templates or objects. More advanced platforms provide a user-friendly interface to manipulate these elements without coding. Data mining Intelligent agents Real-time data warehousing and what's next in data warehousing Best practices for data analysis/OLAP and its variations Strategic insights and CEO/CIO/CKO perspectives on BI Metadata and knowledge management for BI Managing BI as a core IT and business process for corporate success Current state-of-the-art best practices and future directions/trends in BI technologies and applications BI in next generation enterprises and virtual organizations BI investment payoff in business/e-business environments Real world applications and cases in BI Schedule for Publication: Given the dynamic marketplace where time-to-market is critical and the ideas/topics/concepts covered in the book need to be fresh and current, I plan to have this book completed within the next 12 months. All submitted chapters will be reviewed on a blind review basis. The review process will take into consideration the complexity of the BI field and hence, the review process will be on the constructive side and will encourages positive feedback from reviewers. I request your cooperation on the following deadlines: Task Deadline Book chapter proposals received August 31, 2002 Confirm book chapter authors and topics September 7, 2002 Receive full book chapters January 6, 2003 Review book chapters, and give feedback February 28, 2003 Receive final book chapters April 15, 2003 Final book received by publisher May 31, 2003 To be published by Idea Group Inc., publisher of the Idea Group Publishing, Information Science Publishing and IRM Press imprints. Inquiries and Submissions can be forwarded electronically (Microsoft Word Document or Rich Text Format (RTF) file) to: Mahesh S. Raisinghani, Ph.D, CECC Graduate School of Management, University of Dallas 1845 East Northgate Dr, Irving, TX 75062, USA Telephone: (972) 721-5173, Fax: (972) 721-4007, Email: mraising@gsm.udallas.edu |