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Data Lineage as the part of Data Governance Universe  - DAMA Ukraine Kyiv Webinar 12 September 2024
01:05:34

Data Lineage as the part of Data Governance Universe - DAMA Ukraine Kyiv Webinar 12 September 2024

In this insightful webinar, Piotr Pietrzyk and Oleksandr Zhukov, two experienced professionals in data governance and data management, take a deep dive into the world of data lineage and its role in the broader data governance universe. This webinar highlights critical aspects of data lineage, its significance in data management, and the importance of data lineage for businesses, particularly in sectors like finance. Key Points Discussed: Introduction: The session begins with Oleksandr Zhukov introducing the importance of data governance and welcoming attendees to the discussion. The focus is on data lineage and how it relates to data governance. Data Lineage Overview: Piotr explains that data lineage is essential for tracking data from its origin to its destination. It plays a vital role in both business requirements and regulatory compliance. Financial sectors, due to their regulatory nature, often have better-structured data lineage systems. Interactive Session: Piotr encourages an interactive discussion and asks attendees from different sectors (financial vs. non-financial) to share their experiences and challenges in implementing data lineage. He stresses how data lineage varies across different companies, particularly when dealing with legacy systems. Data Governance Universe: A central theme in the presentation is how data lineage fits into what Piotr calls the Data Governance Universe. He uses a metaphor of stars, galaxies, and the universe to explain how data flows and processes are interconnected across a business. The importance of understanding both business processes and technical data flows is emphasized. Regulatory Importance: The session covers the impact of regulatory frameworks, such as GDPR and BCBS 239, which require companies to understand their data lineage. Compliance with these regulations is critical for managing data effectively and avoiding significant fines. Business and Technical Lineage: Piotr explains the distinction between technical lineage (tracking data at the table or field level) and business lineage (understanding data in the context of business processes). Both aspects are crucial for a comprehensive data lineage strategy. Challenges and Best Practices: Discussion on challenges such as legacy systems, data migration, and root cause analysis when dealing with data quality issues. Piotr stresses the importance of data catalogs, data quality, and security to maintain a holistic data governance strategy. Closing Thoughts: The session concludes with a Q&A, where topics like data transformation, GDPR compliance, and practical use cases of data lineage for business processes are discussed. Piotr offers practical advice on how to build a roadmap for data lineage implementation. Takeaway: This webinar provides a comprehensive overview of the importance of data lineage in the data governance landscape. Whether you're in finance or other sectors, data lineage ensures compliance, improves data quality, and facilitates business transformation. The session is a must-watch for data governance professionals and anyone interested in improving their data management practices.
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