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Modernizing Operational Data Quality With Gabriel Charvat VP Of Data Quality Insights

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Manage episode 467560401 series 3622826
Content provided by Lorena Andrews. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lorena Andrews or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode Gabriel Charvat, VP Data Quality Insights explores how Dun & Bradstreet, the ultimate data products company, is modernizing operational data quality. He provides tips on best practices and how they have leveraged innovative technologies like Data Observability to replace legacy tools.Taking data quality to the next level by shifting left, speeding time to onboarding new data sources, and improving the efficiency of their pipelines. The conversation highlights key advancements, including reducing time-to-insight, gamifying data quality across global teams, and enabling proactive data quality to address issues before they reach customers.

  continue reading

11 episodes

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Manage episode 467560401 series 3622826
Content provided by Lorena Andrews. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lorena Andrews or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode Gabriel Charvat, VP Data Quality Insights explores how Dun & Bradstreet, the ultimate data products company, is modernizing operational data quality. He provides tips on best practices and how they have leveraged innovative technologies like Data Observability to replace legacy tools.Taking data quality to the next level by shifting left, speeding time to onboarding new data sources, and improving the efficiency of their pipelines. The conversation highlights key advancements, including reducing time-to-insight, gamifying data quality across global teams, and enabling proactive data quality to address issues before they reach customers.

  continue reading

11 episodes

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