A data trace is left at every touchpoint during a patient’s episode of care. Each trace is a clinical, operational or financial piece to a puzzle that defines the pathway along the patient’s healthcare journey. But data traces also contain the danger of being incomplete, unreliable, out-of-date, misinterpreted, inappropriately used, and potentially accessible to unauthorized individuals. In order to achieve the promise of transforming care, healthcare data assets benefit from being formally managed through a set of processes that ensures that data is credible, available, efficient, useable, secure, visible, and of sufficient quality to enable a wide range of clinical, operational, and financial analytics insights. This presentation will outline a roadmap for developing a data governance model to help healthcare organizations avoid the negative consequences of unreliable data while advancing their analytics maturity.