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Fundamentals of Data Quality Assessment
When: Thursday
July 24th, 2008
Time: 8:45
check-in
9:00 - 12:00 meeting
Where: Holiday Inn Madison at The American
Center
5109 West Terrace Drive
Madison, WI 53718
(608) 249-4220
Speaker: Michael Scofield
Description:
After a survey of the nature of information and data, we will
provide a rigorous dissecting of the concepts of data quality, including
data presence, scope, validity, reasonableness, accuracy, precision,
and consistency. We will define each of these with numerous examples,
and explain how they are different.
Then we will show some practical techniques for assessing
the quality of existing data assets in production databases. The
data assets of the organization range far beyond the major business
databases, and include flows from external sources, and non-production
assets.
The examination and profiling of data assets need not require
an expensive vendor-supplied DQ tool. The effort can be launched
immediately with the query or reporting tools already in-house.
What is key is an astute, cynical data analyst who can imagine all
the ways the data can go wrong, and tests for them. We will show
numerous examples of bad data (gasp!) in production databases (concealing
the names of the guilty companies).
Finally, we will explore the politics of data quality, and
how data quality improvement is really a distributed function, accomplished
through providing the proper tools and understanding to the diverse
knowledge workers around an organization.
This material has been presented about 20 times to various
DAMA chapters, Oracle User Groups, IBM User Groups, and chapters
of the Quality Assurance Assn.
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