DAMA Ukraine Kyiv
Affiliated Chapter of DAMA International

На вебінарі Громадської Організації DAMA Ukraine Kyiv її Президент Олександр Жуков розповідає про підготовку до одного з іспитів від DAMA International: Data Quality Specialist exam.

У цьому вебінарі Тарас Сліпець, дата інженер із багаторічним досвідом, ділиться практичними аспектами впровадження концепції Data Mesh у великій компанії. Відео охоплює: - Основи Data Mesh та її ключові принципи. - Організаційні виклики масштабування команд. - Технічну реалізацію на основі Kafka, Snowflake та інших сучасних платформ. - Як забезпечити якість і консистентність даних у великих організаціях. - Стандартизацію та автоматизацію доступу до даних між командами. Цей вебінар стане в пригоді всім, хто цікавиться впровадженням сучасних підходів до управління даними, зокрема у великих компаніях із розгалуженою командною структурою.

Becoming Data Driven: Building an actionable Data Strategy More organisations are seeking to transform themselves to become more digital and data driven. Many have recognised that this will not be solely achieved by acquiring new technologies and tools. Instead they are aware that becoming data-driven requires a transformation of existing business models, involving culture change, process redesign and re-engineering, and a step change in data management capabilities. To deliver this holistic transformation, creating and delivering a coherent and overarching data strategy is essential. Becoming data-driven requires a plan which spells out what an organisation must do to achieve its data transformation goals. A data strategy can be critical in answering questions such as: How ready are we to become data-driven? What data do we need to focus on, now and in the future? What problems and opportunities should we tackle first and why? How do we assess a data strategy’s success?

Data Governance integration in an agile@scale based organisation, pitfalls and opportunities Many organisations are organised and developing based on agile standards, but what impact does a fully agile@scale (aka the Spotify model) have on the data governance integration in such an organisation. What challenges and opportunities arise from such approach and how can this be implemented successfully. --- Інтеграція врядування та управління даними в організації з agile@scale підходом Багато організацій побудовані та розвиваються на основі гнучких стандартів, проте методологія agile@scale (модель Spotify) впливає на інтеграцію управління даними в такій організації. Які виклики та можливості виникають внаслідок такого підходу та як його можна успішно реалізувати.

Управління даними з точки зору системи внутрішнього контролю Доповідач: Володимир Матвійчук, член Ради Директорів ГО "ДАМА Україна Київ"

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.

Вебінар присвячений темі каталогів даних ти їх використання

Data Leaders must create a compelling narrative to evangelize their Data Management programs and secure long-term support from business stakeholders and enterprise leadership. In this session, we will cover: Why you need a Data Management narrative vs other Data Storytelling and Data Literacy Efforts Why Data Management is Macro-Trend agnostic Leveraging the 3Vs : Vocabulary, Voice and Vision