While many states are still on lockdown, some have opened up and overall businesses are working through planning their COVID-19 road to recovery.
In an effort to provide brands and organizations insights for decision-making amidst the COVID-19 pandemic, Wunderman Thompson has launched a powerful interactive application powered by their Identity Network of human insights and IBM Watson’s Machine Learning, to provide a comprehensive view of COVID-19 impacts on communities to help identify and activate steps to support businesses as they navigate the road to recovery.
Built at the intersection of health and economy, this Identity Network application connects the health, transactional and demographic data from Wunderman Thompson’s Identity Network with publicly available Covid-19 data to create a daily updated, county level view of communities and populations. This initial public view provides meaningful visibility to begin to inform recovery strategy, communications, timing (by location) and activation decisions around programming to accelerate business recovery.
The three areas of the application focus on Health Conditions, Covid-19 and Census (Risk), Health Support within Communities (Readiness), and the Impact of Covid-19 on the Economy (Recovery). The human-insights fueled application was built to inform market level actions and can be broken into further categories, as outlined below:
1. Risk: How much a given county population or zip code level is at risk from COVID-19 (based on CDC guidelines)
2. Readiness: How prepared a county is given its availability of hospital and intensive care unit (ICU) beds
3. Recovery: How economically impacted counties are, where they are now, how fast they are recovering, and when will they return to “normal”