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Dots On A Map Improve Data Quality April 18, 2009

Posted by Peter Benza in Data Accuracy, Data Hygiene, Data Integrity, Data Management, Data Mining, Data Profiling, Data Quality, Data Standardization, Data Stewardship, Data Types, Data Visualization, Linkedin.
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This was a presentation I originally prepared back in 2005, but is probably even more applicable in 2009 given the impact using a GIS tool can have on visualizing data quality – customer addresses on  a map! The next time you conduct a customer “data” assessment – try this!

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What is the major difference between structured and unstructured data? December 27, 2008

Posted by Peter Benza in Data Dictionary, Data Elements, Data Formats, Data Types.
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A good rule of thumb is structured “tabular” data fits into rows and columns and unstructured data are things like web pages, presentations, survey’s, and images.

[Add more examples here.]

Teradata – Master Data Management January 9, 2008

Posted by Peter Benza in Data Assessment, Data Consolidation, Data Dictionary, Data Governance, Data Hygiene, Data Integration, Data Management, Data Metrics, Data Processes, Data Profiling, Data Quality, Data Standardization, Data Stewardship, Data Strategy, Data Templates, Data Tools, Data Types.
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To learn more about Teradata and their MDM solution offering:

http://www.teradata.com/master-data-management

Spatial data layers and conflation September 18, 2007

Posted by Peter Benza in Data Accuracy, Data Elements, Data Formats, Data Types, Data Visualization.
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Conflation is more than matching features from different spatial sources.  A good spatial-matching technology that includes conflation as a parameter should also be defined by location, the shapes attributes, and its relationships to other objects. 

A good example of this is when two or more road networks have conflicting views – how do you proceed, if you end up only wanting to display one of the sources? 

What geometrical matching techniques or advice do you have on this topic?