Title: Practical Considerations for Real-Time Business Intelligence
Speaker: Donovan Schneider

Abstract

Real-time business intelligence (BI) must satisfy two requirements to be effective in industry:

(1) "Time is money": it costs money to reduce latency. The decisions based on low latency must justify the investment.

(2) "Data must be actionable": the information, set within the correct context, must be provided to the right people at the right time so that an effective business decision can be made.

In this talk I examine some of the history of BI in industry and the methods used on the path to the nirvana of real-time BI.

Bio

Donovan Schneider has nearly twenty years experience in data processing and business intelligence, spanning research and industry. He currently is a Data Architect at Yahoo! where he is grappling with storage and query challenges with peta bytes of data. Prior to joining Yahoo!, Donovan was a Senior Architect and Director of Engineering at Siebel Systems for the Siebel Analytics product - a federated, business intelligence platform at the center of Siebel's suite of analytical applications. Donovan architected the query execution engine in the Red Brick data warehouse, and performed query processing research while a
Member of Technical Staff at Hewlett-Packard Research Labs. Dr.
Schneider has a Ph.D. in Computer Science from the University of Wisconsin-Madison. He has published over 20 articles in the premier database venues and holds several patents.