From Data Chaos to Improved Patient Care: The Real-World Impact of Data Lineage

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Presented by

Anthony Fazio Marshall - Manta | Catherine Joyce, St. Jude Children's Research Hospital

About this talk

When St. Jude Children’s Research Hospital came to Manta, they had just begun implementing a data governance framework. They struggled with a lack of data observability and understanding upstream and downstream impacts of data quality issues. The recent transition to a new Electronic Health Record system and decommissioning of legacy systems changed the architectural landscape and made the need for data governance, and lineage capability in particular, very clear. Facing an onslaught of data issues like data collisions, no single source of truth, duplicate data, and limited visibility into data flows, they recognized the need to restructure their IT infrastructure. Join us on August 23 at 1030am ET for a webinar on how St. Jude realized that Manta’s automated data lineage was the solution they needed to tackle their data challenges. Listen in as Anthony Fazio Marshall from Manta and Catherine Joyce from St. Jude Children’s Research Hospital, discuss how data lineage will have a real-world impact on St. Jude’s clinics by helping streamline internal processes to deliver decision-making information that can impact patient care. Attend the webinar to learn about: - The data challenges St. Jude faced prior to reaching out to Manta - St. Jude’s goals regarding data management and governance - Why data lineage is important for their day-to-day processes and patient care The webinar will end with a Q&A session, so come ready to ask questions!
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Manta is the world-class automated approach to visualize, optimize, and modernize how data moves through your organization through code-level lineage. Manta automatically scans your data environment with the power of 50+ scanners to build a powerful map of all data pipelines. With Manta, the world’s top companies gain full visibility and control of data pipelines, driving productivity and regaining trust in their data.