Program - Panel Sessions
Business Intelligence for the Real-Time
Enterprise: How Real can it be?
April 5 (Wed), 14:00-15:30, TALLAHASSEE
||Malu Castellanos (Hewlett-Packard)
Dimitrios Gunopulos (UC Riverside)
Dimitrios Georgakopoulos (Telcordia Technologies)
Ramesh Jain (UC Irvine)
Erich Neuhold (U. Vienna &s; Research Studios Austria)
Arnon Rosenthal (MITRE)
Philip Yu (IBM Watson Research Center)
In today's competitive and rapidly changing environment, analyzing data
to understand how the business is performing, to predict outcomes and
trends, and to improve the effectiveness of business processes
underlying business operations has become critical. The traditional
approach of fixed dashboards and scheduled reports on preconfigured key
performance indicators is no longer adequate. What users demand now are
easy-to-use intelligent platforms and applications capable of analyzing
real-time business data to provide insight and actionable information at
the right time. The end goal is to improve the enterprise performance by
better and timelier decision making, enabled by the availability of
up-to-date, high quality information.
As a response, the notion of "real-time enterprise" has emerged and is
beginning to be recognized in the industry. Gartner defines it as "using
up-to-date information, getting rid of delays, and using speed for
competitive advantage is what the real-time enterprise is all about."
Indeed, the goal of the real-time enterprise is to act on events as they
happen. Although there has been progress in this direction and many
companies are claiming to have products and solutions towards this goal,
there is still a long way to go. In this panel we will discuss the role,
challenges and timeliness of Business Intelligence to make this vision a
reality and the feasibility of ever achieving it.