BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260617T070329Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024west.data
 versity.net/sessionPop.cfm?confid=160&proposalid=15303\nAfter an introducti
 on to the terminology and fundamental characteristics of data quality, we w
 ill survey common (and potentially dangerous) assumptions about tabular dat
 a and how to test those assumptions. This whole session is tool and platfor
 m-neutral. We show simple tests for scope, quality, consistency, defin
 itional discontinuities, record and instance duplication. Techniques f
 or dealing with multiple entities, multiple subtypes, and ambiguities of bo
 th facts and column definitions. A common mistake is underestimating t
 he stability and reliability of external data sources. We show testing
  techniques that can be done with tools already in your inventory. A good d
 ata quality analyst will also enhance data asset documentation of the enter
 prise as the research proceeds. \n\nIn this tutorial, you will learn&h
 ellip;\n\n	Simple techniques for profiling and domain studies.\n
 Tests for lateral inconsistencies within records.\n
 Tests for reliability of imported data.\n
 Techniques for encouraging quality from data sources. \n\n
DTSTART:20240603T133000
SUMMARY:T13: Practical Tests to Identify Data Quality Problems
DTEND:20240603T164459
LOCATION: See Description
END:VEVENT
END:VCALENDAR