Jul. 08, 2014

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Data Quality Session

Main Issue:
We often hear that Data Quality Management is too complicated to deal with. Therefore we have been talking about it for years and did not come up with any simple and practical approach to address it on a scalable fashion. What the ESIP and its member organizations can do to advance this cause?

Session Purpose:
1- Discuss the main problems related to Data Quality from the individual user to the data producer in the organizational level.
2- Discuss with the audience an efficient Data Quality Matrix Concept focused in the very essential and basic data quality features.

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