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• Executive Interview

  

  Information Without Borders

  Infogix founder Madhavan Nayar navigates the challenges of information handoffs, warns of information pollution

  
  

  A Forecast for Change

  SAS CTO Keith Collins talks about high-performance analytics and future computing trends.

  
  
  More Executive Interviews

• DM Radio

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  Four Mega-Trends in Enterprise Data Integration
  Find out how size, speed, interoperability and economics are driving the evolution of data integration, and learn some tips for how your organization can fine-tune its integration strategy, this Thursday, Oct. 9 at 3 ET.
  
  The Business Value of Master Data Management
  Learn how MDM can improve your organization's data quality, while increasing responsiveness and even enterprise agility. Register for this MDM Summit primer, slated for Thursday, Oct. 16 at 3 ET.

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  Seeing Is Believing: The Power of Data Visualization
  Hear Forrester Analyst Boris Evelson, plus industry guru Howard Spielman and eThority CEO Mike Psenka extol the virtues of modern data visualization.
  
  

  

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News

Navy Exchange Service Command Selects Netezza

AIIM and SPC Corporate Training form Education Partnership

IBM Introduces New BPM Software and Services

Online Columns

A "Dear CEO" Advice Column

Gary Cokins

Self-help books and newspaper advice columns, such as Ann Landers’ famous column, are known for issues involving relationships, money or etiquette. What if there were an advice column for CEOs?

Time and Time Again: The Origins of Asserted Versioning

Tom Johnston, Randall Weis

In this column, we present the schema of asserted versioning tables. Using a one-row policy table, we explain how to read the schema.

Taking Credit for Your MDM Success

Dan Power

After watching both the Democratic and Republican National Conventions I saw a pattern playing out that (believe it or not) applies to master data management projects and ongoing data governance initiatives.

Case Studies / Profiles

Handled With Care

Pitt Ohio Express tackles data quality without compromising flexible customer service

Service Without Reservation

Gaylord Entertainment leverages 'listening posts' for a qualitative view of the customer experience at its major hotel/conference operations

Leadership Zone

From Sleaze to Social

Rise of social networking demonstrates community effect, foreshadows Web content management priorities

The Velocity of eBay

Data Warehouse Institute conference presentation demonstrates the brute force of massive utility computing and analytics as a service

A Qualitative Response

Former major-leaguer Doug Glanville talks about his career and the value of statistical correlations to models of behavior

Who Needs Science?

Chris Anderson’s latest thesis argues that huge volumes of data provide their own answers even if there is no hypothesis in search of validation

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.

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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