AI and Data Driven Government
Citizen-centric government services powered by data science and AI
Innovation led by GovTech
Led by the Data Science and AI Division (DSAID), GovTech facilitates whole-of-government (WOG) adoption of these technologies to enhance government services for citizens.
DSAID utilises data science and AI when collaborating with government agencies to build in-house data science expertise, develop data strategies, deploy AI and data services, and set up data infrastructures across the government.
Expertise in this area enables GovTech to deliver citizen-centric government services through data-driven insights and decision-making, ultimately improving Singapore's digital government policy outcomes, service delivery and operational efficiency.
The importance of data-driven decision-making
Citizen-derived data helps governments understand their citizens better and make decisions catered to their experiences when creating or improving government digital services.
Understanding citizens’ preferences also helps governments communicate more effectively with communities, fostering stronger public-private collaborations in the process.
Whole-of-Government Application Analytics (WOGAA)
WOGAA is an end-to-end website performance evaluation platform comprising a front-end citizen feedback interface and a back-end dashboard for data analytics visualisation.
It allows government officers to gain insights on the performance of government websites and digital services in real-time through a convenient and user-friendly platform.
It also consolidates data points from across the whole-of-government (WOG) to allow agencies to benchmark the performance of their website services, and have a holistic overview of government digital services.
Personalise
This is a whole-of-government personalisation engine that aims to customise digital touch points such as emails and websites to provide the most relevant services to our residents.
It is built on top of a Customer Data Platform that ingests a myriad of data from across government systems, and then fed into deep machine-learning models to identify the most relevant or personalised content for our users.
Through personalisation of government digital services, more effective targeting and engagement strategies can be developed to achieve policy-based outcomes.
The Personalise email campaign report page.