A Model of Data Maturity to Support Predictive Analytics
February 20, 2017 — 12:00PM EST - 01:00PM EST
Orange County Convention Center
The use of data, like many processes in healthcare and other industries, tends to follow a maturity progression path from basic, operationally-based, retrospective metrics to advanced, strategically-focused, prospective decision-making. The journey toward data use maturity requires support and an advanced data infrastructure that increasingly must deliver real-time analysis. Certain skills and expertise are needed to facilitate business units and service lines along this path and to support their increasingly complex data requests. This requires an increasingly close collaboration and a partnership between the service lines and the data production pipeline. Examine how the University of Virginia Health System is tackling this problem to create an agile analytics capability.
Describe the data maturity progression that an organization undergoes as it becomes data-driven
List the data architecture activities that support the data maturity progression journey
Recognize the various benefits that are achieved as an organization progresses toward agile analytics