Executive Development Programme in Data Governance for Data Sharing Partnerships

This program is designed for senior executives, data stewards, and business leaders responsible for data sharing partnerships. It equips participants with the strategic insights and practical skills needed to govern and share data effectively, ensuring compliance, security, and value creation.

Participants will gain a comprehensive understanding of data governance frameworks, risk management strategies, and data sharing best practices. They will also learn to drive organizational change and collaboration, enabling them to build robust data ecosystems that foster innovation and competitive advantage.

1. 1. Introduction to Data Governance: Learners will explore the basics of data governance, including its importance and key components. They will gain foundational knowledge on how to establish a data governance framework and its role in managing data sharing partnerships.
2. 2. Data Governance Policies and Standards: This module covers the development and implementation of data governance policies and standards. Learners will understand how to create, enforce, and maintain policies that ensure data quality and security in shared partnerships.
3. 3. Data Quality Management: Learners will study methods for ensuring data accuracy, completeness, and consistency. They will gain practical skills in data quality assessment, data profiling, and the development of data quality metrics.
4. 4. Data Security and Privacy: This module focuses on data security and privacy measures. Learners will learn about encryption, access controls, and privacy regulations, and how to apply these to protect sensitive data in shared partnerships.
5. 5. Data Sharing Agreements and Contractual Obligations: Learners will understand the legal and contractual aspects of data sharing partnerships. They will learn how to draft, negotiate, and enforce agreements that ensure compliance with data governance policies and legal requirements.
6. 6. Data Integration and Interoperability: This module covers techniques for integrating data from different sources into a unified system. Learners will gain skills in data mapping, transformation, and interoperability standards to facilitate seamless data sharing.
7. 7. Advanced Data Governance Strategies: This module delves into advanced strategies for managing complex data sharing partnerships. Learners will explore topics such as data lineage, master data management, and big data governance to handle large-scale data environments.
8. 8. Data Governance Metrics and Analytics: This module focuses on using analytics to measure and improve data governance performance. Learners will learn how to develop and apply key performance indicators (KPIs) and use data analytics tools to monitor data governance outcomes.
9. 9. Change Management and Stakeholder Communication: Learners will study effective change management practices and communication strategies for implementing data governance changes. They will learn how to engage stakeholders and manage resistance to change in data sharing partnerships.
10. 10. Future Trends in Data Governance: This module explores emerging trends and technologies in data governance. Learners will gain insight into how new technologies such as blockchain, AI, and cloud computing are transforming data governance practices and how to adapt to these changes.