Where is Business Intelligence taking today's database systems? William O'Connell, Andrew Witkowski, Ramesh Bhashyam, Surajit Chaudhuri, and Nigel Campbell   View Paper (PDF)   Return to PANELS Abstract The invention of technology made Business Intelligence (BI) possible over relational engines, but now the experiences of putting them into production has unearthed a new set of problems in need of further invention. Over a period of few past years, academia has provided very performant and storage efficient technologies for fundamental BI objects. Database industry either incorporated into their sql engines some of these algorithms (like data mining algorithms, OLAP engines), or tried tointegrate better stand alone BI engines like OLAP, or provided their own unique solutions for BI. This panel will discuss a few of these emerging issues and trends. The intent is not to overview individual products and or solutions, nor to provide a background on BI solutions. But, it is to point out select trends and issues, as well as old issues that are still very real. The panelists will also describe why these issues are important for the research community. The initial questions posed to the panelists will be twofold. First, is where should the BI community go on extending the SQL Language bindings (such as for data mining, reporting, and data analysis), as well as associated DBMS implications to support new and existing BI extensions. And, Second, what does XML mean to BI, as well as associated DBMS implications. ©2005 Association for Computing Machinery