TDAN.com – Archive
March 2009
Articles Earned Value Management
by Michael M. Gorman
This article presents an approach to constructing, producing, and employing earned value management in the accomplishment of database projects. This paper only addresses the earned value for labor.
Other types of earned value address materials and facilities.
Link Corporate Policy and Data Design with Decisioning
by Mark Norton
This article discusses the methods which can be used to discover and model decisions in a structured manner, analogous to data normalization. Data and decisions both have important and complementary
roles in this decision-centric approach. Data models show the valid states of the system at rest; decision models describe the valid transitions between the states. However, it is the state
transitions described by the decision models that generates value for any business, giving the decision model a primacy that is not shared by data.
Architecture Made Easy, Part 4
by Mary Kotch, James Luisi
Finally, The Truth About Metadata: The Business Value and ROI
Maximizing business value requires gathering and analyzing operational metadata from each moment in your operational processes; the gathering of metadata on your operational processes is very much
like having radar track everything that is happening in your business operation.
Is a Science of Data Possible?
by Malcolm Chisholm
Malcolm Chisholm presents a case for a science of data.
Special Features Data Mining Questions?
by Tim Graettinger, Ph.D.
Some Back-of-the-Envelope Answers
Tim Graettinger provides helpful advice for determining if data mining is right for your organization. How to Build & Implement a Non-Invasive Data Governance Program - 2 Day Seminar
by Robert S. Seiner
Mon & Tue, May 11-12, 2009 in Pittsburgh, PA (US)
Seiner's interactive 2-day course focuses on mentoring organizations toward a successful governance solution. More Special Features >
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Featured Columns IT and BI Career Development - March 2009
by Jennifer Hay
Competing in the IT Job Market – Ten Best Practices for Technical Resumes
Jennifer Hay provides ten best practices to ensure that your resume will stand out from the others. SELECT * FROM Celko - March 2009
by Joe Celko
Splitting Data
Joe Celko looks at his favorite bad design - attribute splitting, something that shows up in so many forms at the column, table and schema levels. SaaS and BI - March 2009
by Diby Malakar
Impact of SaaS on DQ
Diby Malakar explores trends and makes some predictions about the data quality space. More Featured Columns >
Perspectives Managing Risk in a Flat World
by Isaac Cheifetz
More Perspectives >
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