• Current Issues

  • 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.


  • DM Radio

    Next Broadcast: Thursday, July 24 @ 3 ET
    Best Practices for Requirements Gathering

    Like 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.

    Click here for more info about DM Radio.

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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

Lyndsay Wise

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

Tom Johnston

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

Robert Farris

This column addresses the role of technologies that can take enterprise BI/DW architecture to the next level.

Ask the Experts

Question: When is it better to have normalized data to create data marts and when is it better to have dimensional data?

Chuck Kelley, Joe Oates, Larissa Moss's Answer:

Hoping not be bombarded by emails, I still don’t get the difference between Kimball’s and Inmon’s approach.

Question: Can data warehouses be designed to cover all possible queries on dimensions that we throw at it without providing a list of reports to an IT department?

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.

Question: How do you measure/calculate information quality quotient for a particular data set?

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 Review’s panel of experts. Submit your business intelligence, data warehousing and information management questions today.

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