Fundamentals of Data Architecture, Governance, and Strategy

Understanding Data Governance and Architecture

Data governance establishes the framework for defining who within an organization has the authority to manage and utilize data assets and how these assets can be used responsibly. It involves a comprehensive system of policies, tools, and processes to oversee and safeguard data resources effectively. As the Data Governance Institute defines it, this is a "system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods." This structured approach ensures accountability and transparency in data handling.

Aligning Data Architecture with Governance for Strategic Outcomes

Data architecture and governance go hand in hand, supporting one another to establish robust standards and strategies that drive organizational goals. By fostering collaboration between governance policies and architectural frameworks, companies can create a unified approach to managing, securing, and utilizing data effectively. This one-day course offers a holistic perspective on data management, teaching participants how to collect, store, secure, and leverage data to align with business objectives and industry standards.

*Learners should have an internet-enabled laptop for this course.

• Define and evaluate digital transformation and its influence on modern businesses.
• Identify and understand technologies and policies relevant to Industry 4.0.
• Analyze case studies on the collection, storage, processing, and application of data.
• Comprehend the organization of data through policies, procedures, and stakeholder roles.
• Master strategies to transform raw data into actionable, business-ready insights.
• Differentiate types of data storage systems across industries and their integration processes.
• Develop strategies to utilize data for decision-making, product development, and monetization.

This course is tailored for beginners who have:

• No prior background or experience in coding, programming, or computer science.
• No foundational knowledge of statistics or data analytics.

"The course was a fantastic and practical experience. The trainer is very passionate about the field. The introduction of the entire framework of how data flows and is processed, along with the necessary governance requirements at each and every step was useful to learn."

– Timothy Tan, Manager, STT Communications

"The trainer is generous in sharing materials and relevant experiences."

– Regina Tan, Assistant Director, Singapore University of Social Sciences - Institute for Adult Learning

"The trainer is a good communicator and facilitator. The overall objective and coverage of the course are achieved."

– Dr Lee Tong Nge, Deputy Executive Director, Singapore University of Social Sciences - Institute for Adult Learning

Dwight Fonseka: Data Analytics Expert and Educator

Dwight Fonseka serves as the Head Data Analyst at Plano, the world’s first science-based parental control application, and is an Adjunct Lecturer at the London School of Business and Finance. His journey into the field of data began in 2014, leading to an impressive skill set spanning advanced statistics, big data analytics, cloud computing, neural networks, R programming, Python programming, business analytics, and data storytelling.

With over seven years of experience in data analytics and database management, Dwight combines technical expertise with a strong educational background. He holds a Master’s in Education (Curriculum & Teaching), a Microsoft Certificate of Achievement in SQL, and an Advanced Certificate in Learning and Performance (ACLP). Known for his ability to distill complex data concepts into actionable insights, Dwight empowers learners to navigate the ever-evolving landscape of data management and governance confidently.