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,…
Steps to Convert Logical to Physical Data Models
By Pete Stiglich Explains how a logical data model is refined into a physical implementation. Typical steps include selecting DBMS-specific data types, applying naming abbreviations…
The Semantic Web and Information Architecture
By Pete Stiglich Explains how Semantic Web standards (such as RDF/OWL and related querying) can strengthen information architecture by making meaning explicit and machine-interpretable. Rather…
Ignoring Your Customer
By W H Inmon In the early days of data warehousing, I was invited to talk to a CEO and a CIO at a well-known…
Know your keys!
By Pete Stiglich One question I ask of data architects and data engineers that I’m interviewing is “What is the most important thing to know…
Enterprise Data Management Foundations and Principles
By Anne Marie Smith, Ph.D., CBIP, ARM, FIDM, FIIM Enterprise Data Management facilitates the management of data as a valuable asset of an enterprise. Using an…
Data Architecture – The Differences
By By W H Inmon Classical data architecture is dominated by structured data. Structured data was the first type of data that people had to…
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…
Normalization of Knowledge
By Donavon Gooldy Normalization is NOT an engineering exercise. The central principle that underlies its rules is that data redundancy, whether repeating groups of attributes or…
Business Glossary – Sooner Rather than Later
By Pete Stiglich Argues that implementing an enterprise business glossary early is one of the best investments for major data initiatives like MDM, EDW, CRM,…
