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• Executive Interview

  

  Columns in the Clouds

  Vertica CEO Ralph Breslauer takes analytic databases into the new world of hosted data infrastructure.

  
  

  New Landscape, Same Story

  Rather than entrench, Information Builders CEO Gerry Cohen sees opportunity in the condensed BI playing field.

  
  
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• DM Radio

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  Thursday, Aug. 21 @ 3 ET
  In Search of... Enterprise Search

  Finding the discrete bits of information everyone needs to perform their job on a daily basis can be like looking for a needle in a haystack. That's where Enterprise Search can help, by letting information consumers use the familiar paradigm of search to find what they seek. But Enterprise Search is not exactly the same as traditional Web-based search and there are some very different approaches for dealing with structured and unstructured data. Tune into this episode of DM Radio to hear several industry experts explain the ins and outs of this relatively new arm of business intelligence. We'll talk to: Forrester Analyst Leslie Owens; Thunderstone CEO John Turnbull; and Dr. Larry Harris, General Manager of Progress EasyAsk. Click here to register for this live Web event.

  

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News

University of Oregon Foundation Selects SunGard Higher Education

Maximizer Software Launches New Brand andFocus on Mobile CRM

Corticon Embeds Composite Software’s Data Virtualization Technology

Online Columns

Emerging Trends in the World of Business Intelligence, Part 2

Lyndsay Wise

Part 2 continues to address trends within BI and data management by exploring the convergence of unstructured data and BI. This column also discusses data integration and data governance concepts.

A Scoring and Choice Model for Multistage Cross-Selling in the Insurance Industry, Part 1

Radha R

In this column, I introduce a chain of data mining and predictive modeling techniques to identify the probable shopping patterns of customers buying related insurance products.

Time and Time Again: Concluding Our Extended Taxonomy Discussion

Tom Johnston, Randall Weis

This wraps up our classification of ways to manage time in databases. Each has its place in enterprise data architecture. Our specific focus will continue to be on asserted versioning and our occasionally changing claims about the details of those states.

Case Studies / Profiles

Service Without Reservation

Jim Ericson

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

When Fast is Not Enough

Jim Ericson

Data management and value-add services are both core to the success of Shazam, the nation’s sixth-largest electronic funds transfer provider.

Leadership Zone

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

Send in the Clouds

Cloud computing will impact the data warehousing/BI equation, give rise to self-service and a host of providers; virtualization could help coordinate.

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.

Click here to send a message to Ask the Experts