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…
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…
The Semantic Web and Metadata Management
By Pete Stiglich The EIMInstitute ‘Current Issue’ listing describes this as the third installment in a series on the Semantic Web and Enterprise Information Management…
The Holy Grail of Analytics?
By Pete Stiglich The end goal of analytics is to be able to make data-driven decisions — sooner rather than later. Of course, it is…
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…
Empowering Data-Driven Decisions through Effective BI Training
By Jeremiah Willett Data Principles is a proud partner of Qlik, a leading analytics, data integration, and AI company. Qlik Sense Cloud is designed for self-service…
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…
The Power of Dimension Placeholder Records
By Pete Stiglich In a dimensional model, how do you handle missing or invalid values in a fact table source record that are used to…
