📚 New article: The importance of data quality for Entity Resolution

Well-built Entities depend on numerous aspects of the ETL process. But firstly, well-built Entities depend on the underlying data available and the quality of that data. 

This article provides guidance on how to maximize data quality checks to improve Entity Resolution on your deployment.

The guidance covers:

• Field population and contents
• Identifying default values
• How data quality can influence the way you configure the Quantexa Address Parser

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The importance of data quality for Entity Resolution - Quantexa Community
Well-built Entities depend on numerous aspects of the ETL process. But first and foremost, well-built Entities depend on the underlying data available and the quality of that data. Data quality is the measurement of data in terms of accuracy, completeness, consistency, validity, uniqueness and timeliness. When starting a…

What data quality checks do you use? Let us know in the comments below.