Date & Time
Tuesday, September 30, 2025, 9:30 AM - 10:15 AM
Location Name
Platinum Breakout 1
Session Type
Breakout Session
Description
This session explores how to transform raw community health data into a trusted, usable format to enable scalable self-service analytics. Learn how structured data pipelines and unified models support downstream use cases, with insights from real-world implementations.
Presentation Learning Objectives
1). Differentiate data grain and context Attendees will explore how understanding levels of data (e.g., document vs. transactional) and perspectives (e.g., patient vs. provider) affects analytic design and interpretation.
2). Recognize the value of auditable data pipelines Participants will learn the importance of building pipelines that allow traceability from analytic output to original source data, promoting transparency and data quality assurance.
3). Explain the role of a unified data model in enabling self-service analytics Through examples and discussion, attendees will gain insights into how unified data models support scalable analytics and reduce redundant data wrangling across teams.
2). Recognize the value of auditable data pipelines Participants will learn the importance of building pipelines that allow traceability from analytic output to original source data, promoting transparency and data quality assurance.
3). Explain the role of a unified data model in enabling self-service analytics Through examples and discussion, attendees will gain insights into how unified data models support scalable analytics and reduce redundant data wrangling across teams.