CDC EDAV – Data Analytics and Visualization Support

Overview:

KR3 supports the Centers for Disease Control and Prevention (CDC) through the EDAV (Enterprise Data Analytics and Visualization) initiative, helping modernize CDC’s data infrastructure and enhance analytic capabilities across the agency.

Goal:

The CDC’s goal for the EDAV platform is to provide a scalable, cloud-based data analytics solution that empowers public health decision-makers with advanced data science, reporting, visualization, and machine learning capabilities. This effort supports the CDC’s broader Data Modernization Initiative (DMI), aimed at improving data interoperability, accessibility, and timely analysis across programs and public health partners. The objective was to centralize and streamline data services, reduce tool redundancy, and strengthen the agency’s ability to generate actionable insights.

Approach & Outcome:

As part of the EDAV project, KR3 provided platform development, operations, and analytic support using agile methodologies, participating in sprint planning, backlog refinement, daily standups, and incident resolution across multiple agile teams. Our team contributed to the design, development, testing, and maintenance of the EDAV platform, ensuring reliable, high-performing analytics services to support both scientific and business use cases. We actively supported the resolution of platform issues through incident and request tickets, produced technical and operational documentation, and engaged in customer success activities to enhance the user experience and ensure alignment with CDC priorities.

KR3 played a key role in advancing the EDAV platform’s capabilities by supporting data integration, automation, dashboard development, and analytics workflows. Our work helped streamline operations, improve system uptime, and ensure the reproducibility and accessibility of data products across the enterprise. By contributing to the continued growth and refinement of the EDAV platform, KR3 supported CDC’s ability to develop new public health data products, including reports, dashboards, analytics, and machine learning models—strengthening the agency’s capacity for data-driven decision-making and modernizing its analytic infrastructure.