<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Quality on technocracy</title><link>https://www.ericsimmerman.com/tags/data-quality/</link><description>Recent content in Data Quality on technocracy</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 05 Aug 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.ericsimmerman.com/tags/data-quality/index.xml" rel="self" type="application/rss+xml"/><item><title>The Philosophy of Separation - Data Transformation and Assertion with Qualytics</title><link>https://www.ericsimmerman.com/blog/2023/08/05/the-philosophy-of-separation-data-transformation-and-assertion-with-qualytics/</link><pubDate>Sat, 05 Aug 2023 00:00:00 +0000</pubDate><guid>https://www.ericsimmerman.com/blog/2023/08/05/the-philosophy-of-separation-data-transformation-and-assertion-with-qualytics/</guid><description>&lt;p&gt;As the digital age advances, ensuring the accuracy and integrity of data has become paramount. Among the myriad principles that guide data quality efforts, one principle merits special attention: the separation of data transformation from the application of data quality checks. This isn’t just an operational distinction; it’s a philosophical approach that amplifies the potential of both procedures.&lt;/p&gt;</description></item></channel></rss>