CSR with Data
At Nerrativ, we believe data can be used to mitigate and resolve social issues. With the right data and analysis approach, it tell us why certain events are happening and provides insights and ideas on how to tackle a social problem.
Project Outcomes
Each CSR Data project has specific target goals. A successful project achieves one or more of the following:
- Data Story – create public awareness through education
- Data Insights – provide insights for policy change
- Data Solutions – data science and tech solutions for long-term impact
How it Works
CSR Data Project Cycle
- Identify – social challenges that can be addressed with data.
- Acquire – datasets from public & private sources or crowdsourcing methods
- Collaborate – with government, NGOs, universities or individual talent
- Analyse – using Data Science and Geographic Information Systems (GIS)
- Data Story – to provide public awareness and education
- Data Insights – for relevant agencies and institutions to affect policy change
- Data Solutions – to address social challenges for the medium and long term
We Work With
Completed CSR Data projects are a result of effective collaboration between domain experts, NGOs, government, talent in design, tech and data science fields.
Creative approaches are taken to ensure the best results are achieved for each CSR Data project.
Partners
Institutions such as NGOs, governments and universities capable of contributing to evaluation, planning and execution of CSR Data projects.
Sponsors
Enterprises and private institutions finance projects through CSR funding in return for brand awareness, data insights and collaborative opportunities.
Collaborators
Domain experts, designers, programmers, data scientists, journalists and other talents who synergise to complete designated projects.