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.
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