1. Develop decision packages based on company’s core business, operational functions, and front-line / users data
2. Cross check information from multiple sources to provide accurate analysis on key operational elements and potential
future value creation areas
3. Build use cases based on business requirements and derive foresight to accomplish company’s objectives
4. Conduct analysis on citizen and front-line data, and identify suggestion to enhance service delivery and citizen satisfaction
5. Build prediction models to enhance operational efficiency
6. Leverage emerging technology, e.g. AI, to automate events detections and enhance proactive engagement
7. Provide single source of truth to drive decision-making
8. Understand data demand to provide accurate intelligence reports and build data sharing packages for business users
9. Drive proactive data collection from respective internal functions and relevant external bodies; in addition, work with
various citizen facing teams to build citizen data collection models, and ensure regular updates and inputs
10. Drive behavioral change across company’s with the use of data-based decision making
11. Support in implementing the data governance model across company’s
12. Support in defining data policies, procedures and processes
13. Ensure data quality and integrity in coordination with the IT team, data owners and data stewards
14. Design and deliver training to the wider company’s team on data governance model and data infrastructure
15. Organize and oversee periodic audits to assess data practices to understand data integrity
16. Leverage existing tools to monitor and report on data quality
17. Work with the company’s IT team to manage IT security policies, data protection mechanisms and enterprise IT architecture
NA