Title of the Presentation (43 pt)

Title of the Presentation (43 pt). Subtitle (24 pt).

3 December, 2024. Deutsche Börse Group. 2. A person standing on a platform with servers in the background Description automatically generated.

The video begins with John starting his day at the office, where he is faced with managing vast amounts of financial data. As John dives into his work, we explore the key principles of Data Governance: Data Quality, Data Security, Data Privacy, Data Lineage, and Access Control..

Data Quality: John reviews data accuracy, ensuring that all financial records are precise and up-to-date. He knows that any data errors could lead to costly mistakes or regulatory penalties. Data Security: John checks security measures, such as encryption protocols, to make sure the organization’s sensitive financial data is protected from unauthorized access and cyber threats..

Data Privacy: John ensures the company complies with data privacy laws like GDPR. He carefully reviews how personal information is stored and shared, making sure the institution upholds customer trust. Data Lineage: As John tracks the flow of data through different systems, we see how important it is for financial institutions to know exactly where data comes from and how it’s used. This transparency ensures the company meets all compliance requirements..

Access Control: John sets up role-based access to ensure that only authorized personnel can access sensitive data, minimizing the risk of insider threats. Throughout the day, John faces challenges and decisions that demonstrate how Data Governance isn’t just about managing data—it’s about protecting the institution, meeting regulatory standards, and keeping customer trust intact..

By the end of the video, we see John satisfied with his work, knowing that his diligent approach to Data Governance has ensured the company remains secure, compliant, and trustworthy. This story illustrates how vital Data Governance is in the financial industry and how professionals like John work tirelessly to manage and protect financial data..

Why Data Governance? Our businesses produce a lot of data that have many opportunities but also challenges. In this case, data fragmentation and siloing can quickly become a problem and therefore a Data Management and Governance framework is needed..

Fundamentals of Data Management & Governance Framework Operating Model: operational blueprint with roles and responsibilities Metadata management, catalog and lineage: an organized inventory of data assets for analytical or business purposes Data quality: assessing and improving data health for enterprise use, ensuring trust in its consistency and reliability Data protection and privacy: classifications, permissions, and privacy mechanisms to ensure protection from spillage and unauthorized access Data domains, model and data architecture: data categorization based on business data requirement.

In this short explainer video, we follow John, an IT Architect working in a financial institution, as he navigates the crucial aspects of Data Governance to ensure the integrity, security, and compliance of sensitive financial data..