BIG DATA
WORKSTREAM LEAD: Setumo Mohapi
Objectives with big data
- Provide accurate and information-rich data to actors in society who need to make difficult decisions about how to manage the Covid-19 pandemic. Two types of decision-makers are enabled by empowered data:
- Organizations with authority to influence the success of broad social dynamics such as policymaking, targeted incident responses, or general preventative measures
- Individuals and communities with an interest to maximize individual and social value
- Provide predictive insights into spread and impact dynamics of the crisis and enable society’s ability to be proactive in measures that reduce the curve of growth and social and economic impact of the spread.
- Provide confidence in the population about the handling of the crisis
- Allow for better planning social and economic planning
Bid data recommendations:
| Recommendation | Solution Area |
|---|---|
| Create a dedicated landing platform for existing data | Agree on a one data ingress platform |
| Agree on stage 1 industry data sources | |
| Agree on stage 2 set of Government data sources | |
| Agree on stage 2 set of data sources from other private sector verticals | |
| Agree on data security and access policies for different data types and processing on non-Government hosting systems | |
| Create a dedicated data cleansing and view platforms | Agree on a one data cleansing platform |
| Demonstrate cleansed data to Government using stage 1 data sources: | |
| Demonstrate industry capabilities using local data (incidents at an IEC VD-level with public and private testing and treatment site locations) | |
| Creation of pop-up type emergency services at “next hit” locations based on data analysis. | |
| Create APIs from data cleansing platform to enable access by data processing platforms | |
| Create data views from multiple platforms | Different cloud providers to provide current status and predictive data capabilities for different use cases |
| Demonstrate capabilities: | |
| Proactively dispatch emergency services based on probability metrics – trigger based | |
| Build a forecast map based on people movement and new cases identified | |
| Determine health and service gaps in areas deemed to be high risk. | |
| Use data to activate telehealth services to potential high-risk area | |
| Determine movement of citizen per geography. Use the data to predict the spread route of covid-19 | |
| Public transport – mapping of routes for taxis, buses and trains. | |
| Target sanitizing initiatives based on high risk areas | |
| Create a Technology enabled ecosystem of COVID-19 Service Providers to help fight the spread of the virus – Similar to Internet Solutions InfoConnect ecosystem | |
| Provide a consolidate interface |