Time
1 month
Location
USA
Sector
Healthcare
Description
The customer sought a system capable of predicting the spread of COVID-19 and providing prognoses based on a wide array of factors. The primary goal was to identify patterns and correlations in historical data related to the disease’s peak spread in various cities.
Solution
To address this challenge, a multifaceted analysis system was developed, offering predictive analytics and risk scores for several cities. A unique proprietary algorithm was created to construct a predictive engine based on the collected data points. This system gained the attention of one of the largest healthcare providers in the United States.
Results
The implementation of this system yielded significant results and benefits. It not only generated substantial revenue but also constituted valuable intellectual property, reinforcing the foundation for data-driven decision-making among large companies. Importantly, it is anticipated to have contributed to saving lives by enhancing awareness of the patterns of COVID-19 spread. The customer expressed a high level of satisfaction with the project, particularly given the initial uncertainty regarding potential correlations between urbanistic data from various sources and the spread of the virus. The discovery of dynamic factors related to the virus’s spread marked a significant victory for the customer’s business and the fight against the pandemic.