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Statistical sampling for Data Quality.

We are going to start a Data Quality Program and I am assigned to do an assessment of Data Quality. We have huge databases and I have been adivsed by one of the statisitcal analysis person within the company to start with establishing the sampling logic. However we are not comfortable as we may miss-out something. What should we do?
 
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Some of the statistical quality control techniques which have arisen from the manufacturing world do not apply on Data Quality and this is one of them. Unlike a manufactured product, quality check on every additional record in a Database does not require a significant additional investment. Therefore the suggestion is to do a check on entire Database. You can do the same on offline mode and conduct it in non rush-hour windows. You can go for sampling incase you are not able do the checks by automated queries OR you have data running close to a tera-byte.


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TOPIC - Data Mapping and Column Analysis → Data Model Entity Relationship Analysis → DMA Data flow Analysis → Expert's Answers → Sponsorship for Data Quality. → Expert's Answers → Ownership of Data Quality Initiative → Expert's Answers → Starting A Data Quality Program → Expert's Answers → Data Profiling tool for Data Quality → Expert's Answers → Data Quality program prioritization. → Expert's Answers → Data Quality Assurance vs. Risk Assessment → Expert's Answers → Data Quality Business Ownership in high-transition environment → Expert's Answers → Including informal and small systems in your Data Quality scope → Expert's Answers → When to use what level of detail for DQ assurance tracking? → Expert's Answers → Level of usage of Data Quality Practice Tool-Kit → Expert's Answers → Evolution path for Data Quality Practice Tool-Kit → Expert's Answers → Data Management Standards for Data Quality → Expert's Answers → Data Quality Practice Kit in work-flow and collaboration → Expert's Answers → Data Quality Policy- Level of Coverage → 
 
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Relevant links to this page
Data Mapping and Column Analysis
Data Model Entity Relationship Analysis
DMA Data flow Analysis
Sponsorship for Data Quality.
Ownership of Data Quality Initiative
Starting A Data Quality Program
Data Profiling tool for Data Quality
Data Quality program prioritization.
Data Quality Assurance vs. Risk Assessment
Data Quality Business Ownership in high-transition environment
Including informal and small systems in your Data Quality scope
When to use what level of detail for DQ assurance tracking?
Level of usage of Data Quality Practice Tool-Kit
Evolution path for Data Quality Practice Tool-Kit
Data Management Standards for Data Quality
Data Quality Practice Kit in work-flow and collaboration
Data Quality Policy- Level of Coverage
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