跳至内容

演讲者

  • Esther Munyi头像

    Esther Munyi

    Chief Data Officer at Sasfin

  • Amy Grace头像

    Amy Grace

    Director, Military Engines Digital Strategy at Pratt & Whitney

  • Stefaan Verhulst头像

    Stefaan Verhulst

    Chief Research & Development Officer, Director of Data Program at NYU Governance Lab

  • Malarvizhi Veerappan头像

    Malarvizhi Veerappan

    Program Manager and Senior Data Scientist, World Bank

企业版

培训2人或以上？

让您的团队访问完整的 DataCamp 资料库，包括集中式报告、任务分配、项目管理等功能。
试用 DataCamp 企业版如需定制解决方案，请点击预约演示。

From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization

March 2024

Summary

Data governance and data quality have become essential topics for organizations aiming to utilize the benefits of artificial intelligence and analytics. The session assembled four experts: Stefan Verhulst, Esther Munyi, Amy Grace, and Malavir Appan, to discuss the challenges and solutions in data governance. The discussion emphasized the changing nature of data, the importance of quality and governance, and the cultural change required to consider data as a strategic asset. The experts shared insights on the necessity of involving multiple stakeholders, including legal and compliance teams, to ensure effective data governance. They also underscored the importance of understanding the business context of data and the need for innovative practices to maintain agile and effective data governance.

Key Takeaways:

  • Data quality is essential for decision-making and client satisfaction.
  • Data governance should be considered as a strategic enabler, not solely a compliance requirement.
  • Effective data governance requires a cultural change towards data stewardship.
  • Data governance involves multiple stakeholders, including legal and compliance teams.
  • Begin with small-scale data governance initiatives and demonstrate value progressively.

Deep Dives

The Importance of Data Quality

Data quality is the backbone of effective decision-making. Esther Munyi compares it to baking a cake; the right ingredients in the right proportions are necessary for a successful outcome. Poor data quality can lead to incorrect decisions and missed opportunities. Esther highlighted that improving data quality results in bet ...
阅读更多

ter client experiences and increased revenues, particularly in sectors like banking. She stated, "Aiming for better data quality means that business leaders are able to make better decisions." Organizations must focus on identifying key data elements and understanding their tolerance for data quality to prioritize efforts effectively.

Data Governance as a Cultural Shift

Data governance goes beyond a set of policies; it is a cultural change towards recognizing data as a strategic asset. Stefan Verhulst highlighted that data governance should include an end-to-end approach, considering data's lifecycle from collection to usage. He introduced the concept of the "five Ps": purposes, principles, processes, practices, and positions, to frame data governance. He pointed out, "Data quality is actually the result of a culture of data quality that exists within an organization." This cultural change involves promoting data stewardship and aligning data practices with organizational goals.

Innovation in Data Governance

Innovation plays a critical role in effective data governance. Malavir Appan discussed the need for organizations to shift from merely collecting data to actively using and reusing it. She emphasized the importance of setting standards for data interoperability and involving all stakeholders, from technology teams to legal advisors. Malavir noted that data governance should not be viewed as a purely technical endeavor but as a comprehensive approach involving policy, regulation, and the people managing the data. The World Bank's experience in overcoming "database hugging disorder" illustrates the need for a clear understanding of data assets to unlock their value.

Balancing Governance with Agility

One of the challenges in data governance is balancing necessary controls with the need for agility and innovation. The panel addressed this by asserting that starting small and demonstrating incremental value is key. Amy Grace underscored the importance of executive leadership and change management in driving data governance initiatives. Organizations should focus on building a strong foundation with clear purposes and principles, enabling them to adapt and innovate without compromising data integrity. The session ended with the understanding that effective data governance is a continuous commitment requiring collaboration across all organizational levels.

有关的

webinar

RADAR: The Analytics Edition - From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization

In this session, industry leaders share strategies for improving data quality, fostering a culture of trust around data, and balancing robust governance with the need for accessible, high-quality data.

webinar

Unpacking the Fun in Data Governance: The Key to Scaling Data Quality

In this webinar, Tiankai Feng, Head of Data Strategy & Data Governance at Thoughtworks Europe, will walk you through the objectives, concepts, and best practices of setting up effective data governance programs.

webinar

How Data Governance Enables Scalable Data Science

Learn how data governance enables data democratization and higher trust in data

webinar

Crafting a Lean and Effective Data Governance Strategy

In this webinar, we will guide you through the nuances of developing a robust data governance strategy that drives value for your organization.

webinar

Unpacking the Fun in Data Governance: The Key to Scaling Data Quality

In this webinar, Tiankai Feng, Head of Data Strategy & Data Governance at Thoughtworks Europe, will walk you through the objectives, concepts, and best practices of setting up effective data governance programs.

webinar

Fostering Confidence with Data Across Your Organization

Learn how to empower your entire organization with data literacy.