Learn how UCSF Health leaders helped navigate the covid-19 pandemic with a dynamic health analytics strategy to help ensure that critical organization data needs were met as well as provide a foundation for the future of healthcare analytics. Prior to the covid-19 pandemic, many disparate data and analytics teams existed to help provide analytics solutions for the organization. While well-intentioned, there was a lack of coordination and alignment. In order to succeed, a strategy had to be developed which spread across teams working towards a common goal. This strategy also had to be dynamic in nature and be enhanced as quickly as underlying circumstances continued to change. By establishing a collaborative analytics approach, this allowed UCSF to build multifunctional product teams to address the most critical needs. Attendees will learn how UCSF developed an analytics leadership team comprised of varying skillsets and backgrounds to address the availability of data, accessibility of data, and technological solutions needed to support the pandemic. This team then formed a larger collaborative group across the organization in which data teams can work together to achieve more advanced success within their efforts. These deliverables included enterprise wide solutions to support covid-10 response, recovery, PPE, health equity, and covid-19 vaccine administration. Data transparency increased across UCSF, and there was an exponential increase in usage of analytics tools. Throughout the course of the pandemic, this strategy continued to be re-assessed and enhanced. Multifunctional teams succeeded in developing several innovative technological data solutions within record time. One of these solutions helped provide real time data from our electronic health record, as this was imperative during the pandemic. Another solution allowed data to be ingested and quickly available as structured data, which was previously tracked in a manual format and essential to the covid-19 immunization process. Throughout the pandemic, the expectations of analytics team’s deliverables have changed dramatically. As we look towards the future of healthcare systems, this collaborative model can be used as the foundation for an enterprise wide approach to standardizing healthcare analytics.