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Data Mesh Radio

#301 Learnings From 25+ Years in Data Quality - Interview w/ Olga Maydanchik

Apr 15, 2024
Olga Maydanchik discusses 25+ years of data quality experience, emphasizing the importance of historical context and avoiding redundancy. Key points include data quality history, tools vs. human intervention, automated assessment tools, continuous improvement, and customer-supplier collaboration. The podcast also covers prioritizing data quality through education and incentives, highlighting the challenges companies face in ensuring high-quality data.
01:01:57

Podcast summary created with Snipd AI

Quick takeaways

  • Understand data quality history to appreciate the ongoing struggle for improvement.
  • Prioritize continuous data quality maintenance and rule creation to catch errors efficiently.

Deep dives

Learning from 25+ Years in Data Quality

Olga Medincik highlights the importance of understanding data quality history. Emphasizing the value of data literacy, she explains how people need to comprehend the implications of poor data quality to prioritize improvement. Medincik discusses the evolving perception of data quality challenges and the significance of involving consumers in the solution process. She underscores the continuous nature of data quality maintenance and the significance of utilizing well-established data quality dimensions for effective rule creation.

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