Modernizing public services through citizen-first innovation
Singapore's Central Provident Fund Board built a Unified Data Platform on Azure Databricks to replace a limited on-premises data warehouse, training over 300 users on Databricks Notebooks and Databricks Assistant for collaborative analytics and machine learning, deployed on Singapore's Government Commercial Cloud 2.0 for public services supporting more than 4 million members.
Overview
Singapore's Central Provident Fund Board built a Unified Data Platform on Azure Databricks to replace a limited on-premises data warehouse, training over 300 users on Databricks Notebooks and Databricks Assistant for collaborative analytics and machine learning, deployed on Singapore's Government Commercial Cloud 2.0 for public services supporting more than 4 million members.
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Inspect the highlighted sourceThe challenge
As data demands grew, CPFB's on-premises data warehouse limited performance and scalability: users had to download data to local machines through multiple layers of approval, and analysis was often performed with limited computing power on desktops or laptops, creating security concerns and forcing requests for additional laptops.
The solution
CPFB built a Unified Data Platform (UDP) on Azure Databricks, training more than 300 users through a train-the-trainer model, adopting Databricks Notebooks for collaborative analytics and Databricks Assistant as an AI-powered coding companion, deployed on Singapore's Government Commercial Cloud 2.0 with Microsoft Purview used to establish governance policies.
Reported business value
Report generation became faster and more automated, with simple reports generated in minutes and complex ones scheduled to run overnight, and machine learning models can now be developed, trained, fine-tuned and deployed securely on a single platform.
Sources
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