DM: Re: Data Quality Metrics

Rebecca,
Check WizRule (www.wizsoft.com) This tool automatically reveals all the
rules that govern the data set, and points out the cases deviating from the
rules. The total number of these case (relative to the total number of
records) can be used as the data quality metrics.
Regards,
Abraham


----- Original Message -----
From: Rebecca Buchheit <rb6g@andrew.cmu.edu>
To: Datamine-L <datamine-l@nautilus-sys.com>
Sent: Friday, June 09, 2000 10:35 PM
Subject: DM: Data Quality Metrics


 > Hello --
 >
 > I am trying to learn more about data quality metrics and how to "rate" the
 > quality of a given data set.  Specifically, I would be using this
knowledge
 > in a case study to rank and describe the quality of several different data
 > sets.  What I would like to do is come up with a "formula": given what the
 > client wants to do with his/her data, we decide which metrics are most
 > important and rate the data set using these metrics.  This would give us
an
 > ranking of the overall "quality" of the data, which in turn could suggest
 > where we should put most of our effort into data cleaning or whether the
 > data set is suitable for data mining at all.
 >
 > I have read Wand & Wang's "Anchoring Data Quality Dimensions in
Ontological
 > Foundations" (Communications of the ACM [1996], 39:11).  They provide a
nice
 > framework for defining dimensions of data quality, but do not present any
 > specific applications of their framework.  Does anyone have any
suggestions
 > for further reading?  I am interested in specific applications of data
 > quality metrics to real/simulated data sets, as well as other competing
 > frameworks.
 >
 > Thank you very much for your time.  If the responses warrant, I will
 > summarize them and post them to the list for everyone to see.
 >
 > Rebecca Buchheit
 > rb6g@andrew.cmu.edu
 > Doctoral Candidate : Computer-Aided Engineering and Management
 > Civil Engineering  : Carnegie Mellon University
 > http://www.contrib.andrew.cmu.edu/~rb6g

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