• The influence of Data Governance and Data Quality

  • 2023/07/08
  • 再生時間: 24 分
  • ポッドキャスト

The influence of Data Governance and Data Quality

  • サマリー

  • In episode 07 of our podcast, we dive deep into the interconnected world of Data Governance and Data Quality with our guest, Mirko. We kick off the discussion by exploring the significance of data quality, its different dimensions, and how it influences decision-making and strategic planning in businesses. Mirko provides a comprehensive overview on the importance of data quality in data management and its impact on business performance.

    We then move onto discussing the detrimental effects of poor data quality on decision-making and business strategies. Mirko uses relatable analogies to illustrate the potential pitfalls and inefficiencies that can arise from relying on low-quality data.

    Further into the episode, we delve into the world of Data Quality Management (DQM). Mirko gives a detailed explanation of the various methods involved in DQM such as data profiling, data cleaning, data integration, and data augmentation. He also shares an example from his own professional journey where he successfully implemented data quality management in an e-commerce company.

    We continue the conversation by discussing how data governance aids organizations in complying with privacy regulations like GDPR and CCPA. Mirko explains how a robust data governance framework can facilitate compliance with these complex regulations.

    The episode also covers the role of data governance in fostering collaboration and communication between different departments within an organization. Mirko illustrates this connection using the analogy of a party planner.

    Towards the end, we ask Mirko how organizations can devise strategies that cater equally to both data governance and data quality. His response, filled with superhero analogies, emphasizes the need for a balanced approach.

    As we wrap up the episode, Mirko shares some best practices for effectively managing the relationship between data governance and data quality. He stresses the importance of establishing a strong data governance framework, investing in the right technology, providing training, conducting regular audits, and fostering a culture of data literacy.

    This enlightening episode is packed full of valuable insights, practical advice, and engaging conversation. Whether you're a data professional or simply interested in understanding more about data governance and quality, this episode is a must-listen. We would like to thank our guest Mirko for sharing his expertise and our listeners for their time and engagement.


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あらすじ・解説

In episode 07 of our podcast, we dive deep into the interconnected world of Data Governance and Data Quality with our guest, Mirko. We kick off the discussion by exploring the significance of data quality, its different dimensions, and how it influences decision-making and strategic planning in businesses. Mirko provides a comprehensive overview on the importance of data quality in data management and its impact on business performance.

We then move onto discussing the detrimental effects of poor data quality on decision-making and business strategies. Mirko uses relatable analogies to illustrate the potential pitfalls and inefficiencies that can arise from relying on low-quality data.

Further into the episode, we delve into the world of Data Quality Management (DQM). Mirko gives a detailed explanation of the various methods involved in DQM such as data profiling, data cleaning, data integration, and data augmentation. He also shares an example from his own professional journey where he successfully implemented data quality management in an e-commerce company.

We continue the conversation by discussing how data governance aids organizations in complying with privacy regulations like GDPR and CCPA. Mirko explains how a robust data governance framework can facilitate compliance with these complex regulations.

The episode also covers the role of data governance in fostering collaboration and communication between different departments within an organization. Mirko illustrates this connection using the analogy of a party planner.

Towards the end, we ask Mirko how organizations can devise strategies that cater equally to both data governance and data quality. His response, filled with superhero analogies, emphasizes the need for a balanced approach.

As we wrap up the episode, Mirko shares some best practices for effectively managing the relationship between data governance and data quality. He stresses the importance of establishing a strong data governance framework, investing in the right technology, providing training, conducting regular audits, and fostering a culture of data literacy.

This enlightening episode is packed full of valuable insights, practical advice, and engaging conversation. Whether you're a data professional or simply interested in understanding more about data governance and quality, this episode is a must-listen. We would like to thank our guest Mirko for sharing his expertise and our listeners for their time and engagement.


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