DiscoverData Engineering PodcastPractical First Steps In Data Governance For Long Term Success
Practical First Steps In Data Governance For Long Term Success

Practical First Steps In Data Governance For Long Term Success

Update: 2024-06-02



Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid.


  • Hello and welcome to the Data Engineering Podcast, the show about modern data management

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  • This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to today to subscribe. My thanks to the team at Code Comments for their support.

  • Your host is Tobias Macey and today I'm interviewing Nicola Askham about the practical steps of building out a data governance practice in your organization


  • Introduction

  • How did you get involved in the area of data management?

  • Can you start by giving an overview of the scope and boundaries of data governance in an organization?

    • At what point does a lack of an explicit governance policy become a liability?

  • What are some of the misconceptions that you encounter about data governance?

  • What impact has the evolution of data technologies had on the implementation of governance practices? (e.g. number/scale of systems, types of data, AI)

  • Data governance can often become an exercise in boiling the ocean. What are the concrete first steps that will increase the success rate of a governance practice?

    • Once a data governance project is underway, what are some of the common roadblocks that might derail progress?

  • What are the net benefits to the data team and the organization when a data governance practice is established, active, and healthy?

  • What are the most interesting, innovative, or unexpected ways that you have seen data governance applied?

  • What are the most interesting, unexpected, or challenging lessons that you have learned while working on data governance/training/coaching?

  • What are some of the pitfalls in data governance?

  • What are some of the future trends in data governance that you are excited by?

    • Are there any trends that concern you?

Contact Info

Parting Question

  • From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

  • Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.

  • Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.

  • If you've learned something or tried out a project from the show then tell us about it! Email with your story.


The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

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Practical First Steps In Data Governance For Long Term Success

Practical First Steps In Data Governance For Long Term Success

Tobias Macey