By CIO Review In this article, CIO Review explores how organizations can unlock more value from their data by aligning it with business strategy. Many…
Data Principles: Architecting Business-Driven Data
By Pete Stiglich In this feature, in CIOReview, Data Principles: Architecting Business-Driven Data, the spotlight is on how organizations can build stronger, more effective data…
Value of Using a Data Management Methodology
By Anne Marie Smith, Ph.D., CBIP, ARM, FIDM, FIIM What is a methodology? A common definition is: A system of broad principles or rules from…
Data Architecture/Data Modelling and Grand Central Station
By W H Inmon Take a look at the subjects of data architecture and data modelling today. What do you find? A big mess. Some…
Data Governance – A strategic Business and IT program
By Pete Stiglich The document underscores the strategic importance of data governance and stewardship in enabling effective decision-making across organizations. It highlights the shared responsibility…
Necessity of Conceptual Data Modeling for Information Quality
By Pete Stiglich Explains that conceptual data modeling is essential for ensuring high data and information quality. It emphasizes that data quality depends not only…
The Semantic Web and Information Architecture
By Pete Stiglich Explains how Semantic Web technologies enhance information architecture by adding meaning and context to data. Using semantic models and ontologies (such as…
Benefits of Conceptual Data Modeling
By Pete Stiglich Highlights how conceptual modeling fills gaps between requirements and solution design by forcing teams to ask probing questions, uncover exceptions, and document…
The Semantic Web for Data Governance and Stewardship
By Pete Stiglich Semantic Web technologies can strengthen data governance and stewardship by improving how organizations understand and connect their data. Rather than focusing only…
Data Governance and Stewardship Organizations
By Pete Stiglich Provides an example organizational structure for implementing governance and stewardship in phases, tailored to culture, size, and data complexity. It focuses on…
