It’s All in the Data: Achieving “Good Data” – Pt 1
Many organizations are focusing their data management and “data as an asset” governance programs on improving data for analytical purposes. Several of my …
Blockchain as the Answer to Big Data Barriers
For some time now, it’s becoming apparent that data scientists not only have to toy around with data, but also convert it into a resource for predicting a …
Where Does Semantic Debt Come From?
In my first piece, Thoughts on Semantic Debt, I sketched out the concept of “semantic debt” and provided some examples. Semantic debt arises “when an …
Data Professional Introspective: Do This to Be the Toast of the Town
You are a data management professional, so we know you are a hero already. But if you’d like to be crowned the Prom King or Queen, lavished with praise …
Data is Like Contaminated Water
What if the water that flowed through the pipes in your house or apartment was contaminated and you knew that if you drank it or bathed in it, there was the …
Improving Patient Data Quality, Part 2: What is Evaluated in the PDDQ Framework
This is part two of a two-part article by Melanie Mecca and Jim Halcomb of the CMMI Institute about the Patient Demographic Data Quality (PDDQ) Framework. In …
Thoughts on Semantic Debt
Semantic debt arises when an organization’s data management systems are conceptually inadequate. We often see semantic debt in source-to-target mappings …
The Data Forecast: Data Wrangling Basics
“Data Wrangling” — as a Data Management term, is about as good as it gets. Action-oriented describes what it actually does and doesn’t make people …
Your Company Has the Flu – The Data Flu
Is your company feeling any pain or suffering from the quality, protection, or understanding of your data? The chances are that your organization is feeling …
Data Lakes Can Be Like the Library of Babel
In 1941, renowned Argentine author Jorge Luis Borges published a short story entitled “The Library of Babel.” The story tells the tale of a universe …