Data Governance Essentials
Foundations of Data Integrity and Regulatory Compliance
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PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
Office: 0816-692-471
Email: community@algorit.ma
OVERVIEW
This session will delve into the essential components of data governance, focusing on its role in ensuring data integrity and regulatory compliance. Attendees will gain a comprehensive understanding of how robust data governance frameworks can safeguard data quality, enhance data reliability, and ensure adherence to regulatory standards. The session will include practical insights, case studies, and best practices to equip attendees with the knowledge to implement effective data governance in their organizations.
Course Syllabus
Introduction to Data Governance, Data Integrity, and Regulatory Compliance
- Importance of data governance in managing organizational data
- Maintaining data integrity for accurate decision-making and efficiency
- Regulatory compliance to avoid penalties and build trust
Core Components of Data Governance
Policies and Standards
- Key policies and standards in a data governance framework
- Ensuring data consistency, accuracy, and reliability
Roles and Responsibilities
- Roles of data owners, stewards, and custodians
- Importance of accountability and stewardship in data integrity
Ensuring Data Integrity through Data Governance
Data Quality Management
- Dimensions of data quality: accuracy, completeness, consistency, timeliness, and validity
- Strategies for implementing data quality management practices
Data Lifecycle Management
- Stages of data lifecycle: creation to disposal
- Best practices for maintaining integrity at each stage
Data Security and Privacy
- Role of security and privacy policies in protecting data integrity
- Common practices: encryption, access controls, anonymization
Achieving Regulatory Compliance through Data Governance
Understanding Regulatory Requirements
- Overview of major data protection regulations (e.g., PDP)
- Impact of regulations on data governance practices
Compliance Strategies
- Strategies for ensuring regulatory compliance: documentation, audit trails, regular reviews
- Role of data governance frameworks in maintaining compliance with evolving regulations
Implementing Data Governance Frameworks
Developing a Data Governance Program
- Steps to build and implement a data governance program
- Importance of stakeholder engagement and change management
Tools and Technologies
- Introduction to tools supporting data governance initiatives
- Examples of integrating these tools into the data governance framework
Case Studies in Data Governance
Implementation Examples
- Successful data governance setups in the industry
- Infrastructure details of these implementations
Challenges and Solutions
- Overcoming implementation challenges
- Strategies used to resolve issues
Key Lessons Learned
- Insights and best practices from case studies
IN THIS SESSION
Keynote Session
Keynote presentations will cover the current and future impact of data science on businesses, highlighting its importance for success. Our guest lecturer will also share their insights and experiences on the topic.
Q&A Session
Attendees can interact with industry experts during the Q&A session, gaining valuable insights and learning directly from field leaders by asking questions and receiving expert answers.
YOUR INSTRUCTOR
Pingky Dezar Zulkarnain
Head of Big Data Analytics Laboratory at BPK RI
Pingky is a distinguished professional holding the position of Head of Big Data Analytics Laboratory and Chief of Information Technology Audit Support and Performance Management at BPK RI. He boasts an impressive educational background, holding a Diploma 3 in Accounting from STAN, a Bachelor’s degree in Accounting from STIE YAI, and an M.Sc. in ICT for Development from GITS, Waseda University, Tokyo. He has also earned a Ph.D. in International ICT Studies from GSAPS, Waseda University, Tokyo.