Mark Madsen
President
Third Nature, Inc.
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The End of the Beginning: Looking Beyond Today's BI
The media today are talking about the maturing of the information
economy and how business intelligence has become a commodity.
"Big data" hype says the relational database is a dead-end and
BI is headed that direction too. They point out deficiencies in the
scalability and features of technologies designed for a world of
scarce information, not overwhelming data.
The tools of BI provide little functionality beyond querying data
and presenting it on a screen. They don’t do much that was not
done 15 years ago—they just do it better and faster.
From this perspective, the media are right.
The real question for BI is, "How can we improve decision
making?" What decisions are made, who makes them, and
why? Some concepts from cognitive psychology, behavioral
economics, and decision support will help you evaluate tools and
new technologies to understand how they fit in a broader work
environment.
The job of the BI professional is no longer technology, but
knowing how to apply it. It’s not data, but knowing where and
how it is used. We need more than technical capabilities. We
need to support individual and organizational abilities, the
things that put people at the center of the work. Attend this
presentation to learn how to think more broadly about BI’s role in
the organization. |
Boris Evelson
Vice President, Principal Analyst
Forrester Research, Inc.
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Use Best Practices for Agile and Self-Service Business Intelligence
No longer just about siloed reporting and analysis and no longer
hidden in the back office, business intelligence is slowly but
surely becoming pervasive throughout enterprises. Globalization,
commoditization, and razor-thin profit margins now elevate
business intelligence to the rank of a key corporate asset that
enterprises use to compete. However, traditional approaches
to business intelligence processes are complex and costly, and
the majority of enterprises have not yet achieved a high level of
maturity in the discipline. In this session, you will learn:
- Why traditional business intelligence approaches are limited,
and why these traditional approaches often hit a wall
- What next-generation, agile, and self-service processes, best
practices, architectures, and technologies will make business
intelligence platforms and applications more successful
- What you can do now to start on the road to successful
business intelligence projects
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