An electronic data analysis system and method of anomaly tracking decision trees for identifying anomalies to detect errors or fraud in multiple healthcare operational functions. The unique aspects of such electronic tools include the contemporaneous data mining and data mapping aspects of Health Information Pipelines, Private Health Information, Operational Flow Activities, Accounts Receivable Pipelines, Product Market Activity, Service Market Activity, and Consumer Market Activity in large quantities. The contemporaneous data analytics provide an effective and efficient tool for market problems such as waste, fraud, abuse, and general aberrations that impact the cost and delivery of healthcare services and products. The tool is interactive and self learning.