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The World Health Organisation (WHO), in partnership with NTT Data and QuantumBlack, tasked our team with tackling the complex challenge of processing and visualizing COVID-19 data from 237 countries worldwide. The goal was to transform fragmented, multi-format data into actionable insights to support global pandemic response efforts
To achieve this, we designed a robust, end-to-end data processing and analytics solution that enables WHO and participating countries to monitor COVID-19 cases, vaccinations, testing, therapeutics, and health workforce metrics. The system integrates multiple data sources—including manual uploads (.csv, .xls), APIs, and direct website downloads—into a unified, real-time analytics platform, delivering both historical trends and live data visualization through the Global COVID-19 Access Tracker (GCAT) web application.
WHO required a scalable and reliable platform to manage an unprecedented volume of global health data, ensuring accuracy, timeliness, and operational efficiency. The solution needed to handle fragmented, multi-format data while providing actionable insights to support decision-making across countries.
Processing fragmented data from diverse sources and formats.
Validating and standardizing data to maintain consistency across 237 countries.
Delivering real-time insights on critical metrics such as cases, mortality, vaccinations, and health workforce.
Providing actionable analytics to support resource allocation, prioritization, and policy decisions.
Historical data storage for trend analysis and reporting.
In collaboration with NTT Data and QuantumBlack, our team developed three robust data pipelines to process, validate, and analyze global COVID-19 data efficiently. The solution focused on:
Data Integration & Standardization – Consolidating input from APIs, manual uploads, and direct website downloads into a unified format.
Advanced Analytics – Computing key metrics such as mortality rate, fatality rate, and total vaccinations per country.
Real-Time Visualization – Delivering live insights via the Global COVID-19 Access Tracker (GCAT), enabling decision-makers to monitor trends and respond promptly.
Scalable Architecture – Supporting high-volume data processing while storing historical records for longitudinal analysis.
Collaborative Framework – Coordinating with multiple stakeholders to ensure data integrity, reliability, and operational efficiency.
The Global COVID-19 Access Tracker (GCAT) is available as a web-based platform, providing stakeholders with seamless access to up-to-date pandemic metrics. Users can explore country-level statistics, visualize trends, and download relevant datasets for research and operational purposes.
The solution provided WHO and global stakeholders with an accurate, real-time view of the pandemic, enabling informed decisions and efficient allocation of health resources.
Enhanced Global Visibility – Unified and visualized COVID-19 data from 237 countries.
Improved Decision-Making – Real-time metrics allowed countries to prioritize resources and interventions effectively.
Operational Efficiency – Automated data pipelines reduced manual processing and minimized errors.
Scalable & Reliable Architecture – High-volume data processing supported live tracking and historical trend analysis.
Actionable Insights – Metrics such as mortality rate, vaccination coverage, and testing statistics became readily accessible to policymakers and public health teams.
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