By Pete Stiglich Describes why migrations often fail when teams treat source‑to‑target mapping as a mechanical exercise. It recommends using three key models: a business…
Meta Data Management and Migration to ICD-10
By Pete Stiglich Discusses why the transition from ICD‑9 to ICD‑10 is high-stakes and complex for providers and payers: code mappings are often not 1:1,…
The Conceptual Data Model – Key to Integration
By Pete Stiglich Argues that integration succeeds when organizations align on shared business meaning, not just field mappings. A conceptual data model becomes the semantic…
Is the Data Warehouse centralized?
By W H Inmon Lately, people have been claiming that a data warehouse is of necessity centralized in a single location or on a single…
Key insights on source data for healthcare analytics & exchanges
By Pete Stiglich Explains why integrating healthcare datasets is hard when metadata is incomplete—especially as data exchange accelerates. The post proposes creating a standard ‘what…
