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Current Issues
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Executive Interview
New Landscape, Same Story
Rather than entrench, Information Builders CEO Gerry Cohen sees opportunity in the condensed BI playing field.
Rack em Up
Stuart Frost, founder and CEO of DATAllegro, rides the data warehouse appliance wave.
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DM Radio
Next Broadcast: Thursday, July 24 @ 3 ET
Best Practices for Requirements GatheringLike the proverbial message in a bottle, requirements documentation must be comprehensive, compelling and crystal clear. Otherwise, money could well be spent creating an application or process that falls short of the mark, sometimes woefully so. Consequently, investing ample time and diligence in the stage of requirements gathering is critical to the success of any IT initiative. Click here to register for this live Web event.
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News
Chester County Turns to Mimosa
Eaton Steel Improves with Oracle
Nexient Learning Selects Varicent Software
Online Columns
Emerging Trends in the World of BI, Part 1
Part one discusses the increasing emergence of data warehousing appliance vendors and emphasis on columnar databases to increase efficiencies for analytics.
Time and Time Again: Managing Time in Relational Databases - A Revised Roadmap
I will present a side-by-side series of inserts, updates and deletes against non-temporal tables and against corresponding uni-versioned tables.
Technologies to Take Your Enterprise-Wide BI and DW Program to the Next Level
This column addresses the role of technologies that can take enterprise BI/DW architecture to the next level.
Ask the Experts
Chuck Kelley, Joe Oates, Larissa Moss's Answer:
Hoping not be bombarded by emails, I still dont get the difference between Kimballs and Inmons approach.
Sid Adelman, Joe Oates, Chuck Kelley's Answer:
First of all, some reports can be predicted. The reports users get today that will be satisfied by the data warehouse will still need to be run, perhaps somewhat differently and delivered differently, but they will still be needed and can be predicted.
Danette McGilvray's Answer:
The good news is that information quality can be measured - via various data quality dimensions. A data quality dimension is a way to measure and manage data and information quality.
Submit Your Questions to Industry Experts
Ask the Experts is an online forum where you can pose questions to be answered by DM Reviews panel of experts. Submit your business intelligence, data warehousing and information management questions today.
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