As powerful as data mining promises to be in facilitating knowledge "discovery", knowledge "comprehension" is guaranteed to be severely challenged. The sheer mass of new sources of data is certain to overwhelm users. This track explores the business, technical and practical impacts of advanced analytical tools for use with data warehouses and data marts including: why data mining and OLAP will be essential to data warehouse; the business value of data mining; how to leverage data mining by utilizing the leading vendors and the right products for the right scale of problem; and how to architect data mining into an overall data warehouse strategy.
Aaron Zornes, Executive Vice President, Application Delivery Strategies
META Group
Tuesday, 11:00 a.m. - 12:15 p.m.
Increasingly, "customer-centric" enterprises are demanding that data warehouses offer a better understanding of their customers in totality. The most recent secret weapons to become available to the corporate middle class were multi-dimensional databases and on-line analytical processing (OLAP) tools. Now the next wave of advanced analytical capabilities are becoming commercially available as "data mining" tools - utilizing advanced technologies that drive pattern analysis of large quantities of data to confirm existing insights or identify hidden patterns. This session offers an orientation to the issues associated with these critical data warehouse technologies, and discusses:
Kamran Parsaye, CEO
Information Discovery, Inc.
Tuesday, 3:00 p.m.
While in man-machine interaction we tell machines what to do, in machine-man interaction we help them tell us what they know. Dr. Parsaye introduces the machine-man paradigm as the basis of decision support and shows how it can entirely change our view of data mining and improve our ability to find patterns in data. Attendees will benefit from:
Dr. David Reiner, Senior Vice President & Chief Scientist
Epsilon Data Management
Wednesday, 9:30 a.m.
Industry-leading organizations are rapidly changing their business practices and technology to unify, understand, and act upon customer information. But deploying effective database marketing systems faces significant technical challenges and risks. This session uses real-world experience to illustrate key software components, analytic tools, and approaches that underlie successful systems.
Stephen Smith, Director of Advanced Analytics
Pilot Software, Inc.
Wednesday, 2:00 p.m.
With the advent of data warehousing and the maturation of OLAP, placing data mining tools in the hands of business end-users, enables them to predict future business trends and customer behavior patterns in far less time than before. Now, the full impact of data mining technology will be realized and businesses will be able to make full effective use of their data warehouses. In his presentation, Mr. Smith discusses data mining technology trends, focusing on these topics:
Steve O'Brien, Director of Product Marketing
Red Brick Systems, Inc.
Thursday, 8:30 a.m.
Data warehousing has proven that better business decisions can be enabled when analysts and managers have access to all of the information they need. Data mining has the potential to extend this concept to new levels of productivity by shifting more of the burden for finding insights on the system rather than on the analyst.
Richard Tanler, Chairman
Information Advantage
Thursday, 1:30 p.m.
As data warehouse and OLAP technologies merge with the Internet/Intranet, a new information infrastructure is evolving. The Intranet will fundamentally change how business applications are developed and deployed within a network-centric, distributed computing environment. The goal is to create a highly adaptive data warehouse strategy that redefines the client/server model.
Moderated by: Aaron Zornes, Executive VP and Director
Application,
Delivery Strategies, META Group
Thursday, 2:30 p.m.
As companies scramble to integrate data warehouse technology into their overall IT architecture, early adopters are utilizing cutting-edge data mining products to maintain their competitive advantage. This powerful new technology will change the way enterprises interpret existing legacy data and incoming operational data within the context of the data warehouse. Topics to be discussed by a distinguished panel of expert data mining consultants and pioneers include:
| Home | Keynotes | Conference | Seminars | Agenda | Special | Exposition | Co-Sponsors | Register! |