Introduction to Data Quality - A Video Overview

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This video will overview:

The essentials of data quality for data integration.

Basic data quality problems - null fields, duplicate records, syntax problems, range problems and more.

The Queplix® automated approach to data quality.

Automating the push to the data steward.

The importance of data governance.

How Queplix data quality scales from integrating any two data sources through the largest global virtual master data management project.

How data normalization manager can help align data quality.

The three tiers of data quality - standalone, multi-source integration and production remediation.