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Data Quality

Data quality is essential to interoperability and is founded on data standardization. That is, defining and managing enterprise-wide data semantics. Whitemarsh offers a number of materials focused on data quality. The metadata repository stores data semantics in the metabase.

Whitemarsh's data quality programs are self-rewarding. That is, the more Whitemarsh's data quality programs are employed, the faster work is accomplished. Staff become more productive, produce deliverables at lower cost and higher quality.

 

A Column By Any Other Name is Not a Data Element PresentationDownload  Yes
Form: Paper		Sample?
Updated Quarter 4, 2005
Updated for ISO-11179
 
A Column By Any Other Name is Not a Data Element PresentationDownload  Yes
Form: Course		Sample?
Updated Quarter 4, 2005
Updated for ISO-11179
 
A Column By Any Other Name is Not a Data Element Presentation - Short CourseDownload  Yes
Form: Course		Sample?
Updated Quarter 4, 2005
A Column By Any Other Name is Not a Data Element Presentation - Short Course
 
Achieving Data StandardizationDownload  Yes
Form: Book		Sample?
Updated Quarter 4, 2005
This book presents an analysis of the problems that undercut data standardization with respect to standard values and standard metadata. The book then provides an approach, meta models, and a work breakdown structure that can be used to implement data standardization projects within the enterprise.
 
Achieving Data Standardization Long TalkDownload  Yes
Form: Course		Sample?
Updated Quarter 4, 2005
This short course presents an analysis of the problems that undercut data standardization with respect to standard values and standard metadata. This one day course presents an approach, meta models, and a work breakdown structure that can be used to implement data standardization projects within the enterprise.
 
Achieving Data Standardization Short TalkDownload  Yes
Form: Course		Sample?
Updated Quarter 4, 2005
This long course presents an analysis of the problems that undercut data standardization with respect to standard values and standard metadata. This one day course presents an approach, meta models, and a work breakdown structure that can be used to implement data standardization projects within the enterprise.
 
Achieving Enterprise Wide Data Semantics StandardizationDownload  Yes
Form: Course		Sample?
Updated Quarter 4, 2005
This course identifies the key problems that prevent an enterprise from achieving data standardization. The course the presents a strategy for overcoming these problem areas.
 
An Old Saw That Just Wont CutDownload  Yes
Form: Paper		Sample?
Updated Quarter 4, 2005
The "old saw" at issue in this paper is the traditional three part paradigm approach for data element names: prime word, modifier[s], and class word. This old saw just won't cut. Never did, and never will. The paper exhorts readers to stop wasting their time and money and choose one that does. This paper then identifies and describes the five main problems with the traditional approach and then presents an approach that since its introduction in 1981, has lowered cost and risk, and increased speed and quality.
 
An Old Saw That Just Wont Cut - Software Implementation ReportDownload  Yes
Form: Paper		Sample?
Updated Quarter 4, 2005
This paper, An Olde Saw That Just Won't Cut, A Software Implementation Follow-up is based on its predecessor article, An Olde Saw That Just Don't Cut which showed how the "old saw" about data elements (prime word, modifier[s], and a single class word) "just don't cut" because of five mistaken notions (i.e., the olde saw's teeth). This paper reports on that accomplishment, both in terms the of accomplishment and in terms of the five teeth.
 
Analysis of the DISA 8320 Data Standardization ApproachDownload  Yes
Form: Paper		Sample?
New!
This paper presents an analysis of the Data Standardization Procedures employed by the United States Department of Defense's Information Systems Agency (DISA). Their approach is fatally flawed in a number of different areas and is an example of an approach that should be avoided.
 
Data Standardization Work PlanDownload  Yes
Form: Paper		Sample?
Updated Quarter 4, 2005
This paper presents a detailed set of steps to acheive data standardization within an enterprise.
 
The Data Standardization ProblemDownload  Yes
Form: Course		Sample?
Updated Quarter 4, 2005
 

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