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…
The Importance of Teaching and Implementing Ethical Data Use in Organizations
By Anne Marie Smith, Ph.D., CBIP, ARM, FIDM, FIIM In today’s data-driven world, organizations rely heavily on data to make strategic decisions, improve customer experiences,…
The Unfinished Business of Generative AI Governance
By Dr. Tejasvi Addagada Generative AI is no longer a siloed experiment. It is shaping customer interactions, redefining knowledge work, and altering the very nature…
What is Data?
By Donavon Gooldy A leader of one of the consulting firms I’ve worked for in my career answered our title question by stating that “Data…
Examining and Refuting Some Common Data Governance Myths
By Anne Marie Smith, Ph.D., FIDM, ADGP Many organizations are hesitant to develop a data management/data governance program since they believe common myths about the…
Qlik’s Extremely Powerful and Easy-to-use Key Driver Analysis capability
By Pete Stiglich If you are a Qlik Sense Cloud customer (and if not, let me know and we can get you started!), the “Key…
Conceptual Modeling to Enhance Data Quality
By Pete Stiglich Explores how conceptual modeling improves data quality by forcing clarity on business concepts, definitions, and the rules that connect them. By identifying…
The Ever Evolving LLM
By W H Inmon With ChatGPT and Generative AI comes the LLM – large language model. The LLM contains, among other things, a vocabulary that…
Data Integrity in a New Light – A New View of Data Management and Ethics
By Anne Marie Smith, Ph.D., FIDM, ADGP A new definition of data integrity focuses on an ethical approach to managing and using data, providing an…
