Ensuring AI-Ready Data
Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative…
data quality
Data Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue…
Data Crime: Just Move the Data You’ve Got
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Data Crime: Election Ballots
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language…
Data Speaks for Itself: Is Metadata Data?
Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why…
Data Crime: Arizona Is Not Arkansas
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Data Cleansing Tools for Big Data: Challenges and Solutions
In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and…
Explaining the Why Behind Data Quality Dimensions
Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a…
Documenting Critical Data Elements
Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some…