Data Governance and Ethics

Mastering the Art of Ethical Data Management
Why This Training?
In today's data-centric world, proper data governance is crucial not only for compliance but for organizational success. Beyond just governance, ethical considerations play an essential role in ensuring trust and respect with stakeholders and customers. This training unravels the complexities of data governance and the importance of ethics, offering a clear roadmap for implementing effective strategies and practices.
Duration: 15 Hours (online / virtual live session)

Who Should Attend?

 Data professionals and analysts looking to deepen their understanding of data governance.
 Compliance and regulatory officers tasked with ensuring data privacy and ethics.
 Managers and decision-makers aiming to foster a culture of data governance in their organizations.
 Anyone interested in the world of data management and its ethical implications.

Course Highlights

 Holistic Approach: Dive deep into both the practical aspects of data governance and the critical ethical considerations in data management.
 Expert Insights: Learn from industry professionals with hands-on experience in establishing data governance frameworks.
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 Interactive Learning: Engage in group discussions, case studies, and real-world scenarios to consolidate your understanding.
 Future-Ready: Explore the challenges and opportunities in data governance as the digital landscape continues to evolve.

Pre-requisites

 Basic understanding of data management concepts.
 Familiarity with data privacy regulations would be beneficial but not mandatory.

Training Materials Needed by Participants

Laptop or desktop computer with internet connectivity.
Recommended reading: "Data Governance: The Definitive Guide" (participants will be provided with select chapters).
Notebook and pen for taking notes.
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Training Content

Data Governance and Ethics

Session 1: Introduction to Data Governance

Understanding Data Governance:
  • Definition and significance
  • The evolution of data governance in the digital age
The Pillars of Data Governance:
  • Data stewardship
  • Data quality
  • Data lineage
  • Data security
Data Governance Frameworks and Best Practices:
  • Different governance frameworks
  • Adopting a framework suitable for your organization

Session 2: Data Quality and Metadata Management

The Importance of Data Quality:
  • Defining data quality dimensions: accuracy, completeness, reliability, and timeliness
  • Impacts of poor data quality
Metadata Management:
  • Understanding metadata
  • Tools and strategies for metadata management
  • Metadata and data lineage
Data Cataloging and Data Dictionaries:
  • The importance of a centralized data inventory
  • Building and maintaining a data dictionary

Session 3: Data Privacy, Protection, and Compliance

Data Privacy Principles:
  • Understanding data privacy
  • GDPR, CCPA, and other data protection regulations
Implementing Data Privacy in Governance:
  • Data anonymization and pseudonymization
  • Privacy by design and by default
Compliance and Auditing:
  • Compliance in data governance
  • Strategies for regular auditing and compliance checks

Session 4: Data Ethics in the Age of AI and Big Data

Introduction to Data Ethics:
  • Why ethics matter in data management
  • Real-world incidents highlighting ethical considerations

Ethical Concerns in Data Collection and Usage:
  • Consent and data collection
  • Bias, fairness, and transparency in data usage
AI, Machine Learning, and Ethics:
  • The challenges of black-box algorithms
  • Ensuring fairness and avoiding bias in machine learning models

Session 5: Implementing and Sustaining Data Governance and Ethics

Building a Data Governance Team:
  • Roles and responsibilities: data stewards, data owners, and governance boards
  • Setting up a data governance office
Data Governance and Organizational Culture:
  • Promoting a data-driven culture
  • Overcoming resistance and challenges in implementation
Case Studies and Future Trends:
  • Reviewing real-world implementations of data governance and ethics
  • Looking ahead: The future of data governance in an ever-evolving digital landscape
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