This advanced course highlights Data Management as the DNA for smart cities. It provides an overview of Internal Data Governance and External Open Data Guidelines. Participants will learn the key components of data governance, including establishing internal governance frameworks, creating open data policies, and managing data security and discovery across departmental, inter-departmental, and external systems. The course emphasizes the importance of data engineering processes such as integration, interoperability, wrangling, cataloguing, and organizing sensitive and non-sensitive data depositories. By mastering these foundational elements, participants will be equipped to create seamless data workflows that support advanced analytics and informed decision-making in urban management.
The training also focuses on leveraging data for value creation by exploring techniques in data aggregation, AI preprocessing, and advanced analytics such as descriptive, predictive, and prescriptive modelling. Participants will understand how to build platforms like community apps, data portals, and urban observatories, translating data insights into actionable services for governments, agencies, private sectors, and communities. The course aims to enable participants to enhance operational efficiency, generate new revenue sources, and deliver innovative services, driving sustainable and data-driven urban transformation.
